A digital system for providing digital disease management for cancer

Abstract

A digital system for providing digital disease management for cancer is provided. Among them, the front-end system for providing digital disease management for cancer facing patients includes: a task system module, which is configured to: push a standardized medical scale with a predetermined format to the patient, and the medical scale includes one or more of the following: a physical symptom scale related to the patient's disease, an adverse event scale, a psychological measurement scale, and a quality of life scoring scale; receive and analyze the input data of the patient for the medical scale, obtain an evaluation result indicating the patient's status; and based on the evaluation result, push an intervention plan and / or a management plan corresponding to the patient's status to the patient.

Description

Technical Field

[0001] The present disclosure relates to a digital system for providing digital disease management for cancer. Background Art

[0002] Currently, cancer is an important cause of human death. With the research and development of various new drugs and the increasing of other treatment means, the mortality rate of cancer patients shows a downward trend. In the near future, most cancer patients will coexist with the disease for a long time, and the management of cancer patients will become a new "chronic" disease management. This requires healthcare providers to evaluate the survival status of patients from more dimensions. The core goal will gradually shift from "disease treatment-centered" to establishing and improving the health service, health management, health education and health promotion systems throughout the life cycle.

[0003] Due to the limitations of human and financial resources, coupled with insufficient attention, the current management of cancer patients focuses more on in-hospital treatment, while out-of-hospital management and monitoring have always been a vacuum in clinical research and clinical practice. On the one hand, doctors cannot accurately state the number of cancer patients they manage and the disease characteristics. On the other hand, patients lack professional medical knowledge and do not understand the meaning behind the medication and examination results. For postoperative complications, changes in disease symptoms or drug adverse reactions that occur out of the hospital, they cannot obtain timely and professional intervention suggestions; they lack effective channels to obtain other professional non-drug intervention measures and guidance; due to reasons such as traffic convenience, it is difficult to achieve regular and personalized follow-up.

[0004] For the traditional out-of-hospital management of patients, doctors filled out follow-up forms during consultations and simply wrote down follow-up suggestions. Later, it developed into regular telephone follow-up assisted by medical assistants / students / nurses. The follow-up cycle is relatively long, and due to the lack of unified standardized training, the inquiries and suggestions are not necessarily comprehensive and professional, resulting in poor patient compliance and it is difficult to accurately evaluate the outcome of whether the patient follows the doctor's advice.

[0005] Therefore, there is a need for an improved digital-based disease management solution to prevent, manage or treat the diseases of out-of-hospital patients by providing an evidence-based and high-quality software program-driven intervention solution. Summary of the Invention

[0006] The present disclosure is made in view of the above problems. An object of the present disclosure is to provide a digital system for providing digital disease management for cancer. By providing evidence-based and high-quality software program-driven intervention programs to prevent, manage or treat diseases of out-of-hospital patients. The digital therapeutics provided by the present disclosure can be used alone, in combination with drugs, or in combination with other therapies to improve the health status of patients. It can be understood as a software plus hardware product whose effectiveness and safety are verified through clinical trials, or a software-only product. The development of the digital therapeutics system is similar to that of drug research and development, and has the same final efficacy as drugs, and can be prescribed like drugs.

[0007] An embodiment of the present disclosure provides a front-end system for a patient to provide digital disease management for cancer, including: a task system module, the task system module is configured to: push a standardized medical scale with a predetermined format to the patient, the medical scale includes one or more of the following: a physical symptom scale related to the patient's disease, an adverse event scale, a psychological measurement scale, and a quality of life scoring scale; receive and analyze the input data of the patient for the medical scale, obtain an evaluation result indicating the state of the patient; and based on the evaluation result, push an intervention plan and / or a management plan corresponding to the state of the patient to the patient.

[0008] Optionally, the task system module is further configured to: compare the evaluation result with a predetermined threshold; in response to the evaluation result being within the predetermined threshold, push an intervention plan including treatment suggestions to the patient, the treatment suggestions including personalized treatment suggestions for the state of the patient; and in response to the evaluation result exceeding the predetermined threshold, push an intervention plan including a medical appointment reminder to the patient, the medical appointment reminder including one or more of the following: doctor recommendation, hospital recommendation, hospital navigation information, evaluation result interpretation, drug and / or treatment-related knowledge, medical appointment preparation suggestions.

[0009] Optionally, the evaluation result indicates the severity of the patient's symptoms or an emergency related to the patient's symptoms, and is determined based on at least one of the patient's previous evaluation results, medical guidelines related to the patient's disease, and doctor's opinions.

[0010] Optionally, the task system module is further configured to determine the diagnosis and treatment stage of the patient, and in response to the patient being in the initial medical appointment stage, display a prompt message asking whether the patient has undergone biomarker detection; in response to the patient input being no, push knowledge about the necessity of biomarker detection and a medical appointment reminder to the patient; and in response to the patient input being yes, obtain the biomarker detection result of the user.

[0011] Optionally, the task system module is further configured to: in response to the patient being in the treatment stage, push the standardized medical scale with a predetermined format to the patient; receive and analyze the input data of the patient for the standardized medical scale, obtain an evaluation result indicating the treatment status of the patient; and based on the evaluation result exceeding a predetermined threshold, push an intervention plan including a visit reminder to the patient.

[0012] Optionally, the task system module is further configured to: obtain the prescription information of the patient; automatically identify the drugs to be taken by the patient and the dosage, administration frequency, and administration cycle of the corresponding drugs based on the prescription information; regularly push a medication reminder to the patient until the end of the medication cycle based on the identified dosage, administration frequency, and administration cycle; and during or at the end of the medication cycle, push a visit and review reminder and matters needing attention for the review to the patient.

[0013] Optionally, the task system module is further configured to: obtain the medical record information of the patient and classify the disease stage of the patient based on the medical record information; formulate a follow-up standard template for the patient based on the classification, where the follow-up standard template includes the follow-up suggestions for the patient at different stages in the medical guidelines related to the patient's disease, and the follow-up suggestions include the follow-up cycle, the examinations recommended for each follow-up, and the matters needing attention before the examinations.

[0014] Optionally, the task system module is further configured to: provide a postoperative rehabilitation plan for the patient based on the patient's medical record information and the disease stage, where the postoperative rehabilitation plan includes a rehabilitation plan for the patient himself / herself and a rehabilitation plan for the patient's family members.

[0015] Optionally, the task system module is further configured to: provide the patient with disease-related educational knowledge, where the disease-related educational knowledge includes one or more of the following: general information about a specific disease, knowledge about treatment drugs and treatment means related to a specific disease, common symptoms of a specific disease, knowledge about treatment-related adverse events and the corresponding severity grades, knowledge about common treatment measures for adverse events, and knowledge about exercise and diet.

[0016] Optionally, the psychological measurement scale includes at least one of the following: PHQ-9 Depression Screening Scale, SAS Self-Rating Anxiety Scale, SDS Self-Rating Depression Scale, and Generalized Anxiety Disorder Scale. The task system module is further configured to: in response to the evaluation result of the psychological measurement scale being within the predetermined threshold, push suggestions for self-adjustment to the patient; in response to the evaluation result of the psychological measurement scale exceeding the predetermined threshold, push a visit reminder to the patient, and the visit reminder includes one or more of the following: online communication with a doctor, doctor recommendation, hospital recommendation, hospital navigation information, interpretation of the evaluation result, knowledge about drugs and / or treatment, and suggestions for visit preparation.

[0017] According to an embodiment of the present disclosure, the front desk system further includes an online communication module, and the online communication module is configured to: provide an online communication interface; automatically identify keywords in the patient input information; based on the identified keywords, perform one or more of the following functions: automatically reply to the patient, recommend corresponding multidisciplinary diagnosis and treatment team doctor members to the patient, assign professional doctors, and push appointment reminders; and based on the doctor selected by the user, link the patient to the selected doctor for online consultation and communication.

[0018] According to an embodiment of the present disclosure, the online communication module is further configured to: provide an interactive link between patients to the patient; and based on detecting that the patient clicks the interactive link, link the patient to a patient communication group.

[0019] According to an embodiment of the present disclosure, the front desk system further includes an electronic medical record module, and the electronic medical record module is configured to provide the patient with one or more of the following: basic personal information of the patient, pathological and genetic test results, disease stage, organ metastasis, previous treatments received, current medication information, smoking history, quality of life assessment report and symptom / adverse event monitoring report, psychological scale assessment results.

[0020] Optionally, the front desk system further includes a knowledge base module, and the knowledge base module is configured to provide the patient with one or more of the following: disease-related education knowledge, approved gene detection methods and companies, postoperative function recovery knowledge, smoking cessation tips, psychological support knowledge and videos, review material list, exercise and diet knowledge.

[0021] Optionally, the task system module is further configured to: send the data input by the patient in the front desk system for providing cancer digital disease management to the middle desk system for cancer digital disease management, and receive from the middle desk system one or more of the following generated by the middle desk system based on the patient input data and the background support file: the next treatment plan and treatment strategy for the current stage of the patient, the reply generated for the common questions input by the patient in the online communication module, or the addresses of suitable hospitals and pharmacies in the patient's area and the links to suitable Internet hospitals or direct-to-patient DTP pharmacies determined based on the questions input by the patient in the online communication module regarding the hospital, doctor, or drug purchase channel.

[0022] Optionally, the background support files include disease-related education knowledge, approved gene detection methods and companies, the latest approved indications of drugs, drug specifications and medical insurance information, knowledge of postoperative lung function recovery, psychological support knowledge and videos, a list of review materials, exercise and diet knowledge, relevant medical literature, standardized medical scales and scoring criteria in a predetermined format, medical guidelines and / or consensus related to the patient's disease, precautions for examinations, nursing common sense for postoperative patients, psychological self-adjustment plans and guiding rehabilitation plans, clinical trial recruitment information, and answers to common questions of patients.

[0023] Another embodiment of the present disclosure provides a front-end system for providing cancer digital disease management for doctors, including: a diagnosis and treatment advice module configured to propose an intervention plan and diagnosis and treatment advice for patient abnormal situation information; an online communication module configured to provide an interface for doctors to communicate with patients, where doctors answer patients' questions; a patient management module configured to establish a separate management file for each of one or more managed patients and monitor and manage them; and a data statistics module configured to receive information input by one or more patients through the front-end system as described above and perform data statistics.

[0024] Optionally, the patient management module is further configured to: batch push disease education or follow-up advice to one or more managed patients; stratify patients based on the disease risk levels of one or more patients; and recommend different intervention plans and monitoring frequencies to doctors according to the different risk levels of patients.

[0025] Optionally, the data statistics module is further configured to receive information input by one or more patients and perform the following steps based on the received information: identify the disease recurrence or progression situations that occur during the treatment process of the one or more patients and perform data statistics; identify the scale evaluation results of the one or more patients and perform data statistics; and identify the readmission rate or emergency situations that occur during the treatment process of the one or more patients.

[0026] Yet another embodiment of the present disclosure provides a middle-end system for providing cancer digital disease management, including: a patient file middle-end module configured to collect user information from one or more patient front-end systems as described above and generate a patient portrait based on the collected information; a medical strategy middle-end module configured to generate a treatment plan and treatment strategy based on the collected user-related information; and an information processing middle-end module configured to generate replies to common questions of users or patients.

[0027] Optionally, the patient file middle platform module includes: a data collection center sub-module, configured to collect information input by the user at the user terminal; a portrait analysis sub-module, configured to generate a patient portrait based on the information collected by the data collection center sub-module, wherein the patient portrait includes one or more of pathological and genetic test results, disease staging, organ metastasis, previous treatment, current medication information, smoking history, treatment plan adjustments and reasons, and behavior patterns.

[0028] Optionally, the medical strategy middle platform module includes: a plan center sub-module, which is configured to formulate the next action plan for the patient based on the stage of disease development in the patient, and to recommend or push the next intervention measures or suggestions for the patient to the doctor; a strategy center sub-module, which is configured to formulate a standard treatment path for the patient, and to re-formulate a new treatment path when the patient's current state deviates from the preset state of the standard treatment path.

[0029] Optionally, the information processing middle platform module includes: a question-and-answer center sub-module, configured to: receive common questions input by patients in the online communication module of the patient front-end system; generate standard answers to the common questions; and send the generated standard answers back to the patient front-end system, a dispensing center, configured to: receive questions about hospitals, doctors or drug purchasing channels input by patients in the online communication module of the patient front-end system; determine suitable hospitals and pharmacies in the patient area and links to suitable Internet hospitals or DTP pharmacies based on questions input by patients in the patient terminal about visiting hospitals, doctors or drug purchasing channels; and send the addresses of the determined hospitals and pharmacies and links to suitable Internet hospitals or DTP pharmacies back to the patient front-end system.

[0030] In another embodiment of the present disclosure, the middle system also includes a backend system, which includes: a knowledge base management module, which is configured to store and manage disease-related educational knowledge, approved genetic testing methods and companies, the latest approved indications of drugs, drug instructions and medical insurance information, postoperative lung function recovery knowledge, psychological support knowledge and videos, review material lists, exercise and diet knowledge, relevant medical literature, standardized medical scales and scoring standards with a predetermined format, medical guidelines and / or consensus related to the patient's disease, examination precautions, postoperative patient care common sense, psychological self-adjustment plans and guided rehabilitation plans, clinical trial recruitment information, and one or more of patients' common disease questions and answers; a question and answer library management module, which is configured to store and manage standard replies provided by patients to common questions entered by patients at the patient terminal; an order management order module, which is configured to process orders generated by patients purchasing one or more of drugs, instruments, equipment, testing services, and user rights through the system; a user management module, which is configured to manage the opening and closing of user privileges, and the processing of user usage suggestions.

[0031] Another embodiment of the present disclosure provides a system for providing digital cancer disease management, including a front-end system for patients, a front-end system for doctors, a middle-end system and a back-end system, wherein the front-end system for patients is based on the aforementioned front-end system for digital cancer disease management for patients; the front-end system for doctors is the aforementioned front-end system for digital cancer disease management for doctors; the middle-end system is the aforementioned middle-end system for digital cancer disease management; and the back-end system is the aforementioned back-end system for digital cancer disease management; wherein, based on the management and scheduling of the databases of the front-end system for doctors, the middle-end system and the back-end system, a digital cancer disease management solution is provided to the front-end system for patients. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the following briefly introduces the drawings of the embodiments of the present disclosure. Obviously, the drawings described below only relate to some embodiments of the present disclosure, and are not intended to limit the present disclosure.

[0033] Figure 1 A schematic diagram of the architecture of a system for providing digital cancer disease management according to an embodiment of the present disclosure is shown;

[0034] Figure 2 A patient front desk 100 facing a patient of a system for providing digital disease management of cancer according to an embodiment of the present disclosure is shown;

[0035] Figure 3Shows the doctor front desk 200 for doctors in a system for providing digital disease management for cancer according to an embodiment of the present disclosure;

[0036] Figure 4 Shows the middle platform 300 in a system for providing digital disease management for cancer according to an embodiment of the present disclosure;

[0037] Figure 5 Shows the backstage 400 in a system for providing digital disease management for cancer according to an embodiment of the present disclosure;

[0038] Figure 6 Shows an exemplary application scenario diagram of a system 10 for providing digital disease management for cancer according to an embodiment of the present disclosure. Detailed implementation

[0039] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts also belong to the scope of protection of the present application.

[0040] The terms used in this specification are those general terms that are currently widely used in the art in consideration of the functions of the present disclosure, but these terms can change according to the intentions of those of ordinary skill in the art, precedents, or new technologies in the art. In addition, specific terms can be selected by the applicant, and in this case, their detailed meanings will be described in the detailed description of the present disclosure. Therefore, the terms used in the specification should not be understood as simple names, but based on the meanings of the terms and the overall description of the present disclosure.

[0041] Although the present application makes various references to certain modules in the system according to the embodiments of the present application, however, any number of different modules can be used and run on the user terminal and / or the server. The modules are only illustrative, and different aspects of the system and method can use different modules.

[0042] The present application aims to address the deficiencies in the prior art, breaking through the situation that doctors do not have the time and energy to carry out meticulous and trivial follow-up work and are unable to provide timely and professional interventions (including accurate diagnosis, treatment monitoring, follow-up norms, postoperative rehabilitation, psychological support, disease education, and consultation) for out-of-hospital patients; and also enabling cancer patients to receive almost the same level of interventions and suggestions out of the hospital as in the hospital, including drug and non-drug intervention measures, obtaining full-life-cycle health management and services, and ultimately achieving a double improvement in survival and quality of life.

[0043] To achieve the above object, the present application provides a system for long-term out-of-hospital management of cancer patients for terminal. Those skilled in the art should understand that the cancer here can be any cancer that can manage and intervene in patients out of the hospital, including but not limited to lung cancer, breast cancer, prostate cancer, and so on. Hereinafter, embodiments of the present disclosure will be described in detail with reference to the accompanying drawings.

[0044] Figure 1 FIG. 4 shows a schematic architecture diagram of a system 10 for providing digital disease management of cancer according to an embodiment of the present disclosure.

[0045] The system for providing digital disease management of cancer according to an embodiment of the present disclosure adopts a front-end, middle-end, and back-end organizational structure. In the traditional front-end-back-end architecture, each project is relatively independent, and many projects are repeated, which will make the project itself more and more bloated and also make the development efficiency lower and lower. By introducing the middle-end as an intermediate organization to provide some common resources for all projects, such an architecture can be user-centered, quickly respond to user needs, and can quickly and sensitively support the diversity needs of the business front-end.

[0046] As is known to those skilled in the art, the front-end includes various interfaces that directly interact with users, such as web pages, mobile application platforms, and also includes various business logics on the server side that respond to user requests in real time, such as product queries, order systems, and so on. The back-end does not directly face users, but is a configuration management system for operation personnel, such as product management, logistics management, settlement management. The back-end usually also has a memory for storing support files. The middle-end is usually divided into a business middle-end, a data middle-end, and a technology middle-end. The business middle-end combines the common needs of the business into services. For example, e-commerce companies, customers, products, logistics, and payments are common needs, and these common businesses are combined into a unified business service for each business unit to use. The data middle-end includes: data collection, data processing, data algorithms and analysis, reports, and data governance. The technology middle-end is usually the underlying basic service, facing technology, and these underlying technologies include: security authentication, permission management, process engine, portal, message, notification, and so on.

[0047] As Figure 1 shown, in the architecture of the system 10 for providing digital disease management of cancer according to an embodiment of the present disclosure, the front-end is divided into a patient front-end 100 and a doctor front-end 200. The doctor front-end 200 includes, for example, an application platform established at the doctor's terminal, and the patient front-end 100 includes, for example, an application platform established at the patient's terminal. It should be understood that the terminals here include but are not limited to computer terminals, mobile phones, tablet computers, personal digital assistants (PDAs), wearable electronic devices, in-vehicle electronic devices, medical electronic devices, and other devices. The application platforms here include, for example, but are not limited to application programs, web pages, etc. running on these devices.

[0048] The middle platform 300 is a key part that links the front ends (including the patient front end 100 and the doctor front end 200) and the back end 400. It can perform data processing and analysis based on the data collected from the front ends, and provide corresponding treatment plans / treatment strategies and data for the front-end users based on the data collected from the front ends and the supporting information from the back end. The middle platform can be implemented, for example, at a middle-platform server, including but not limited to a single computer, a single server, a server cluster composed of multiple servers, a cloud computing center, etc.

[0049] The back end 400 may include some supporting literature or information for managing and treating cancer according to the embodiments of the present disclosure (these literature and information will be updated regularly in the back end), as well as orders generated during the process of users (such as patients and their families) using the system and user management, etc. The back end 400 can be implemented, for example, at a back-end server, including but not limited to a single computer, a single server, a server cluster composed of multiple servers, a cloud computing center, etc. The back end 400 may include a memory for storing the supporting files. For example, the memory here can be integrated within the back-end server or can be an external memory connected to the middle-platform server. For example, the memory here includes but is not limited to, for example, volatile memory and / or non-volatile memory. For example, the volatile memory may include random access memory (RAM) and / or cache memory, etc. The non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. For example, the supporting files here may include disease-related education knowledge, approved gene detection methods and companies, the latest approved indications of drugs, drug instructions and medical insurance information, knowledge of postoperative lung function recovery, psychological support knowledge and videos, review material lists, exercise and diet knowledge, relevant medical literature, standardized medical scales and scoring criteria with a predetermined format, medical guidelines related to the patient's disease (taking lung cancer patients as an example, including CSCO / NCCN / ASCO / ESMO and other guidelines) and / or consensus, inspection precautions, nursing common sense for postoperative patients, psychological self-adjustment plans and guiding rehabilitation plans, clinical trial recruitment information, common disease Q&A for patients, and so on.

[0050] The doctor front end 200 and the patient front end 100 achieve information exchange and data transfer between doctors and patients through the database management and scheduling of the middle platform 300 and the back end 400.

[0051] A communication link provided by the Internet can connect the application platforms at the doctor and patient terminals, the application platforms at the doctor terminal and the patient terminal with the middle platform, and the middle platform with the backstage, to achieve communication with each other. Optionally, the above-mentioned Internet uses standard communication technologies and / or protocols. The Internet is usually the Internet, but can also be any network, including but not limited to any combination of a local area network (LAN), a metropolitan area network (MAN), a wide area network (WAN), a mobile, wired or wireless network, a private network or a virtual private network. In some embodiments, technologies and / or formats including Hyper Text Markup Language (HTML), Extensible Markup Language (XML), etc. are used to represent the data exchanged through the network. In addition, conventional encryption technologies such as Secure Socket Layer (SSL), Transport Layer Security (TLS), Virtual Private Network (VPN), Internet Protocol Security (IPsec), etc. can be used to encrypt all or some of the links. In other embodiments, customized and / or dedicated data communication technologies can also be used to replace or supplement the above data communication technologies.

[0052] In addition, it should be understood that the architecture in the form of the front desk, middle platform and backstage is only for more clearly explaining the technical solutions in the embodiments of the present disclosure, and does not constitute a limitation on the technical solutions provided by the embodiments of the present disclosure. Of course, for other forms of architectures and business applications, the technical solutions provided by the embodiments of the present disclosure are equally applicable to similar problems.

[0053] The system for providing digital disease management for cancer according to the embodiment of the present application can be prescribed by a doctor to a user as a digital disease management prescription. The clinical treatment of cancer patients is certainly important, but the physical and mental rehabilitation in the later stage also occupies an important position. After hospitalization and discharge, cancer patients are depressed and distressed mentally and psychologically for a long time, and they become pessimistic, disappointed, and even commit suicide. Through the digital disease management of the embodiment of the present application, patients are closely followed for a long time, and their physical and mental states are kept informed at any time, so that effective intervention plans and treatment methods can be taken immediately. In addition, after the patient is discharged from the hospital, the patient's diet, living habits, functional exercise, etc. can be effectively and scientifically guided in the process of digital disease management. By closely tracking and understanding a plurality of different patients, the effects of different cancer treatments can be understood and collected, and the laws of cancer recurrence and metastasis can be explored.

[0054] For example, a HR+ breast cancer patient will receive 5-10 years of endocrine adjuvant therapy after surgery. This treatment period is very long and the patient is at home. Before starting 5-10 years of endocrine adjuvant therapy, the doctor can prescribe the digital disease management program in the embodiment of this application to the patient, aiming to manage the symptoms and treatment-related adverse reactions of breast cancer patients.

[0055] Endocrine therapy is one of the main means of adjuvant therapy for hormone receptor-positive breast cancer after surgery. For premenopausal patients, 5 years of tamoxifen (TAM) after surgery is the gold standard for adjuvant endocrine therapy. For premenopausal patients with medium-to-high risk of recurrence, 5 years of TAM combined with OFS treatment can reduce the risk of recurrence in 8 years by 24%, and AI combined with 5 years of OFS can reduce the risk of recurrence in 8 years by 35%. Endocrine therapy compliance affects patient prognosis. The 10-year overall survival of patients with good compliance is higher than that of patients with poor compliance (77.8% vs 81.7%, p<0.001). Foreign studies have shown that 28%-59% of patients have poor compliance with endocrine therapy. Articles published in Chinese journals in the past decade (19 articles) show that the compliance with endocrine therapy ranges from 31% to 93%. In "The Current Status and Improvement Suggestions for Adherence to Endocrine Therapy in Chinese Breast Cancer Patients" (2018), Professor Fan Zhimin's team from the First Bethune Hospital of Jilin University found that among 699 patients, the compliance was only 63.1%. Among the non-compliant patients, 36% discontinued endocrine therapy due to its side effects, 14% discontinued treatment simply because they read about side effects in the package insert rather than through their own experience, 35% doubted the effectiveness of endocrine therapy, and 12% were unaware of the need for such treatment.

[0056] The digital disease management solution for doctor's prescription books is for breast cancer patients expected to receive endocrine adjuvant therapy for 5 - 10 years. It collects data from the patient terminal (such as the smartphone APP terminal), supports clinicians for telemedicine or face-to-face visits, so as to improve the symptom management of adverse reactions to endocrine therapy in breast cancer patients and enhance the interaction between patients and doctors. In the initial stage of this digital disease management, breast cancer patients, under the guidance of doctors, received the installation and oral training of the patient terminal application. Patients start endocrine therapy from the first day, and doctors will remotely track for three months through the doctor's front desk of the system for providing digital disease management of cancer according to the embodiments of the present application. The patient front desk of the system gives several self-management suggestions for pre-specified symptoms (such as fatigue, pain, anxiety / depression, hot flashes, etc.) approved by doctors to patients, and transmits automatic messages to the doctor's front desk. During use, patients can report their adverse reaction symptoms. The patient front desk will first automatically send pre-set suggestions to patients. If the symptoms do not ease later, patients can choose to send messages to doctors through the patient front desk to seek further help.

[0057] The digital disease management solution according to the embodiments of the present application can be used alone, in combination with drugs, or in cooperation with other treatments to improve the health status of patients. We can understand it as a software plus hardware product or only a software product whose effectiveness and safety have been verified through clinical trials. The development of the digital disease management system is similar to drug research and development, has the same final efficacy as drugs, and can be prescribed as a prescription like drugs.

[0058] For example, a breast cancer patient is admitted to the hospital and is scheduled to receive preoperative neoadjuvant chemotherapy or postoperative adjuvant chemotherapy. After chemotherapy, if the patient complains of cognitive impairment, the doctor prescribes a digital disease management program according to the embodiments of the present disclosure to the patient to prevent the possible adverse reaction of chemotherapy - "chemobrain", improve the patient's cognitive function, and ultimately improve the patient's quality of life. "Chemobrain", that is, cancer treatment-related cognitive impairment (CRCI), often manifests as mental trance common after breast cancer treatment. It is very common and is usually caused by the "inflammation" of systemic drugs used in chemotherapy or radiotherapy. Studies have found that this mental trance can last for 6 months. This finding comes from one of many large research projects that mainly explore the thinking problems related to chemotherapy that trouble many women receiving breast cancer treatment. These problems include memory loss, attention problems, and difficulty in information processing. When researchers compared hundreds of women 6 months after the end of chemotherapy in the United States with hundreds of healthy women, they found that the thinking scores of more than 45% of the chemotherapy women decreased, while less than 15% of the control group did. Chemobrain affects daily life in many ways. Patients say that they write numbers wrong, forget the names of people they know, and forget the route on the way to a familiar place. The doctor prescribes a digital disease management program according to the embodiments of the present disclosure to breast cancer patients after chemotherapy who complain of cognitive impairment, and requires the patients to play cognitive-improving mini-games at least three times a week on the application on the user terminal for 3 - 6 months. The games mainly target five cognitive domains - attention, working memory, episodic memory, executive function, and processing speed. The impact of playing games every day on the self-awareness of cognitive complaints can be measured by the Cognitive Failure Questionnaire (CFQ) provided by the application and remotely transmitted to the doctor to facilitate the doctor's understanding of the patient's cognitive improvement. The cognitive complaints measured by CFQ include forgetfulness and distraction, lack of confidence, and indecision in daily life, and are related to susceptibility to stress and mental illness. Cognitive improvement games can improve the cognitive impairment of breast cancer patients and help these patients adhere to their treatment. At the same time, by managing and enhancing cognition, mental health can be improved in turn, reducing the stress and depression brought by breast cancer.

[0059] The following will describe in more detail the specific implementation of each organizational structure in the architecture of the system for providing digital disease management for cancer according to the embodiments of the present disclosure based on the accompanying drawings. Each embodiment of the present disclosure takes Figure 1 the architecture diagram shown as an example for illustrative purposes.

[0060] Figure 2 shows the patient front desk 100 for patients of the system for providing digital disease management for cancer according to the embodiments of the present disclosure. For example, the system for providing digital disease management for cancer here can haveFigure 1 The architectures of the front desk, middle desk, and back desk shown. For example, the patient front desk here may include a patient-oriented application platform installed on the patient terminal. For example, the application platform here includes, but is not limited to, application programs, web pages, etc. running on these devices.

[0061] For example, as Figure 2 Shown, the patient front desk 100 facing the patient is logically function-categorized into the following several modules: a task system module 110, an electronic medical record module 120, an online communication module 130, and a knowledge base module 140. It should be understood that the sub-modules here are divided according to logical functions, and each module is not limited to the different modules visualizable in the interface. For example, in the task system module, a connection pointing to a doctor or a nurse can also be provided, and when the user clicks on this connection, the user can also jump to the interface for communicating with the doctor or the nurse. The function introduction of each module is as follows:

[0062] The task system module 110 is configured to: push a standardized medical scale with a predetermined format to the patient; receive and analyze the input data of the patient for the medical scale to obtain an evaluation result indicating the state of the patient; and based on the evaluation result, push an intervention plan and / or a management plan corresponding to the state of the patient to the patient.

[0063] For example, the standardized medical scale includes one or more of the following: a physical symptom scale related to the patient's disease, an adverse event scale, a psychological measurement scale, a quality of life scoring scale, and so on. It should be understood that the medical standardized scale here can be a currently known standardized medical scale, or a standardized scale customized by the developers of the digital disease management system according to the embodiments of the present application as needed, and the present disclosure does not limit this.

[0064] The task system module 110 can be divided into the following sub-modules according to its logical function: a biomarker detection and dynamic detection sub-module 111, a symptom / adverse event (AE) monitoring sub-module 112, a medication reminder sub-module 113, a follow-up / review plan recommendation sub-module 114, a postoperative rehabilitation plan recommendation sub-module 115, a psychological intervention plan recommendation sub-module 116, and a disease education sub-module 117. It should also be understood that the sub-modules here are divided according to logical functions, and each module is not limited to the different modules visualizable in the interface.

[0065] The task system module 110 can determine the treatment stage of a patient. If it is determined that the patient is in the initial diagnosis stage, the biomarker detection and dynamic detection sub-module 111 can ask the patient whether biomarker detection has been performed. For example, the patient can be asked whether biomarker detection has been performed by displaying a question on the user interface. For example, the patient can answer by checking the "Yes" or "No" option presented on the user interface, or the user can directly enter "Yes" or "No" in the input box. The present disclosure is not limited thereto.

[0066] If the patient's input is "Yes", the biomarker detection and dynamic detection sub-module 111 can save the information that the patient has undergone biomarker detection and obtain the patient's biomarker detection results. For example, the biomarker detection and dynamic detection sub-module 111 can prompt the patient to upload the report of the biomarker detection that has been done. For example, the upload methods include but are not limited to taking a photo and uploading. In addition, the report of the biomarker detection can be taken a photo and uploaded to the APP by the doctor or the patient, or imported from the HIS system by the doctor's end, so that the biomarker detection and dynamic detection sub-module 111 can directly obtain and identify it from the HIS system through the communication link. In addition, the biomarker detection and dynamic detection sub-module 111 can also interpret based on the obtained biomarker detection report.

[0067] If the patient's input is "No", the biomarker detection and dynamic detection sub-module 111 can recommend that the patient perform biomarker detection and push the knowledge of the necessity of biomarker detection and the appointment reminder to the patient.

[0068] For example, taking the gene mutation detection of EGFR as an example, the biomarker detection and dynamic detection sub-module 111 can push to the patient: What is EGFR? Why is EGFR detection necessary? What are the methods of EGFR detection? etc. So that the patient can conveniently understand the relevant knowledge of biomarker detection and the necessity of performing biomarker detection. For example, the knowledge of the necessity of biomarker detection can be saved locally on the patient terminal, or stored in the background server, or stored in another remote server. The present disclosure does not limit this.

[0069] For example, the appointment reminder can only include a reminder message to remind the patient to perform biomarker detection in a timely manner. In addition, the appointment reminder can also include recommendations of hospitals qualified to perform biomarker detection, doctor recommendations, hospital navigation information, appointment preparation suggestions, recommendations of qualified testing companies or testing products, etc., to provide as much convenience for the patient as possible.

[0070] If it is determined that the patient is in the treatment process, the biomarker detection and dynamic detection sub-module 111 can evaluate the quality of life of the patient. For example, the quality of life of the patient can be evaluated and supervised by pushing quality of life scoring scales such as LCSS / FACT-L. For example, the evaluation can be performed based on the symptoms stated in the scale selected by the patient and the scoring criteria of the relevant scale to obtain an evaluation result indicating the patient's status.

[0071] For example, the processing of the evaluation by the biomarker detection and dynamic detection sub-module 111 here can also be executed by the local processor. In addition, the processing of the evaluation by the biomarker detection and dynamic detection sub-module 111 here may not be executed by the local processor. For example, the biomarker detection and dynamic detection sub-module 111 can also transmit the patient's input for the relevant scale to the middle platform, and the middle platform then generates an evaluation result based on the information collected from the front platform and the supporting documents in the background (such as the scoring criteria of the relevant scale), and then transmits the generated result to the biomarker detection and dynamic detection sub-module 111 at the patient's front platform through, for example, a wireless link. The biomarker detection and dynamic detection sub-module 111 can then feedback the result to the patient.

[0072] If the evaluation result is within a certain threshold range, the biomarker detection and dynamic detection sub-module 111 pushes a treatment suggestion to the patient, and the treatment suggestion here can be a personalized treatment suggestion for the patient's current status.

[0073] If the evaluation result exceeds a certain threshold, the biomarker detection and dynamic detection sub-module 111 can push an intervention plan and / or a management plan to the patient. For example, a medical appointment reminder can be provided to the patient. For example, the medical appointment reminder can only include a reminder message, indicating the risks that the patient currently has and the need for a medical appointment. For example, the medical appointment reminder can also include relevant doctor recommendations, hospital recommendations, hospital navigation information, interpretation of the evaluation result, drug and / or treatment-related knowledge, suggestions for medical appointment preparation, and so on.

[0074] For example, the threshold can be set based on at least one of the patient's previous evaluation results, medical guidelines related to the patient's disease, and doctor's opinions, and the present disclosure does not limit this.

[0075] For example, drug-related knowledge can include knowledge related to drug resistance. For example, what is drug resistance? How to judge? Why is post-drug-resistance testing necessary? What are the post-drug-resistance testing methods? And so on. For example, the knowledge about the necessity of biomarker detection and drug-related knowledge can be stored locally on the patient terminal, or can be stored on the background server, or can be stored in another remote storage device, and the present disclosure does not limit this.

[0076] During the process of the biomarker detection and dynamic detection sub-module 111 providing the evaluation result to the patient, a link for online communication with a doctor or a nurse can also be provided simultaneously. For example, the patient or the family member can click on this link at any time during the execution of the evaluation and jump to the interface for communicating with the doctor or the nurse, where the user can input text or voice to communicate with the doctor or the nurse online. According to some embodiments, the user can also make a voice or video call with the doctor or the nurse, and the present disclosure does not limit this.

[0077] The symptom / Adverse Event (AE) monitoring sub-module 112 detects the symptoms and adverse events of the patient during the patient's treatment process.

[0078] For example, the symptom / Adverse Event (AE) monitoring sub-module 112 can regularly push the physical symptom scale, adverse event scale, quality of life score scale, etc. related to the patient's disease, and conduct an evaluation based on the patient's input.

[0079] For example, the physical symptom scale, adverse event scale, quality of life score scale related to the patient's disease, and the related scoring criteria here can be stored locally, can be stored in the background server, or can be stored in another external storage device.

[0080] For example, the physical symptom scale here is the physical feeling felt by the patient as opposed to the psychological symptoms. For example, taking a lung cancer patient as an example, the physical symptom scale related to the patient's disease here can include the LCSS scale. For example, the quality of life score scale here can include the SF-36 scale or the FACT-L scale. "Adverse event" refers to any adverse medical event that occurs to a patient receiving drug treatment or a clinical research subject. For the monitoring of adverse events (AE), the symptom / Adverse Event (AE) monitoring sub-module 112 can select the common adverse events for the patient, such as skin reactions, diarrhea, etc., and formulate them into a standard scale for evaluating the severity of the patient.

[0081] The symptom / Adverse Event (AE) monitoring sub-module 112 evaluates the patient's input for the physical symptom scale, adverse event scale, or quality of life score scale. If the severity of the evaluation result is relatively mild, for example, within the preset threshold range, then the symptom / Adverse Event (AE) monitoring sub-module 112 pushes a treatment suggestion to the patient, and the treatment suggestion here can be a personalized treatment suggestion for the patient's current state. If the severity of the evaluation result is relatively severe, for example, beyond the preset threshold range, then a medical appointment reminder is pushed to the patient. For example, the severity can be divided into multiple different levels. If the severity is within a certain level (for example, level 1-2), then a personalized treatment suggestion for the patient's current condition is pushed to the patient. If it is greater than a certain level (for example, level 3 and above), then a medical appointment reminder is pushed to the patient.

[0082] For example, the appointment reminder may include a reminder message indicating the risks that the patient currently has and the need for an appointment. In addition, for example, the appointment reminder may further include relevant doctor recommendations, hospital recommendations, hospital navigation information, interpretation of assessment results, drug and / or treatment-related knowledge, appointment preparation suggestions, and so on.

[0083] For example, the threshold here may be set based on at least one of the patient's previous assessment results, medical guidelines related to the patient's disease, and doctor opinions, or any other relevant means that is conducive to determining the level or degree of the assessment result. The present disclosure places no limitation thereon.

[0084] For example, the personalized treatment suggestions here may be pre-stored in a local knowledge base, or may be stored in a background server or another external storage device. For example, the personalized treatment suggestions here may also be generated by a doctor after adaptively modifying and supplementing them based on the specific conditions of the patient on the basis of the conventional treatment method, and then pushed to the patient from the doctor's front desk.

[0085] For example, the obtained assessment result may be automatically synchronized to the doctor's front desk and the doctor's front desk performs data statistics. Further, the symptom / Adverse Event (AE) monitoring sub-module 112 may also compare the obtained assessment result with the previous result, synchronize the comparison result to the doctor's front desk, and the doctor's front desk may perform data statistics.

[0086] The symptom / Adverse Event (AE) monitoring sub-module 112 may also provide a link for online communication with a doctor or a nurse. For example, the patient or family member may click on the link at any time and jump to the interface for communicating with the doctor or nurse, and on this interface, the user may input text or voice to communicate with the doctor or nurse online. According to some embodiments, the user may also make a voice or video call with the doctor or nurse. The present disclosure places no limitation thereon.

[0087] The medication reminder sub-module 113 is configured to: obtain the prescription information of the patient; automatically identify the drugs that the patient needs to take and the dosage, administration frequency, and administration cycle of the corresponding drugs based on the prescription information; regularly push medication reminders to the patient until the end of the administration cycle based on the identified dosage, administration frequency, and administration cycle; and during or at the end of the administration cycle, push appointment and reexamination reminders and reexamination precautions to the patient.

[0088] For example, the medication reminder sub-module 113 can identify each drug and its dosing frequency and cycle based on prescription information uploaded by the patient or doctor (e.g., uploaded by taking a photo). For example, the prescription information can also be uploaded to the APP by the doctor or patient taking a photo, or imported from the HIS system by the doctor's terminal, so that the medication reminder sub-module 113 can obtain and identify it from the HIS system using the communication link. Based on each identified drug and its dosing frequency and cycle, the medication reminder sub-module 113 regularly reminds the patient to take the medication. For example, according to one aspect of the embodiments of the present disclosure, the medication reminder can be sent to the interface of the patient terminal in the form of a text message pop-up window, so that the patient can receive the medication reminder regardless of whether the application platform is open or not. According to one aspect of the embodiments of the present disclosure, the medication reminder can also be in other forms such as sound or vibration, and the present disclosure does not limit this. For example, the medication reminder sub-module 113 can also identify discharge instructions, and automatically remind the patient of regular follow-up visits, review reminders, and matters needing attention during the medication cycle or at the end of the medication. The review cycle will be adjusted according to the new doctor's orders after each hospital visit by the patient.

[0089] The follow-up / review plan recommendation sub-module 114 can be configured to obtain the medical record information of the patient and classify the disease stage of the patient based on the medical record information; formulate a follow-up standard template for the patient based on the classification, where the follow-up standard template includes the follow-up recommendations for the patient at different stages in the medical guidelines related to the patient's disease, and the follow-up recommendations include the follow-up cycle, the examinations recommended for each follow-up, and the matters needing attention before the examinations.

[0090] For example, the follow-up / review plan recommendation sub-module 114 can formulate targeted follow-up plans or review plans for the patient's stage based on major follow-up guidelines (e.g., if the patient is a lung cancer patient, it can be based on the follow-up parts of guidelines such as CSCO / NCCN / ASCO / ESMO for lung cancer patients) and consensus, such as early postoperative, inoperable stage III, and advanced stage.

[0091] For example, the follow-up plan or review plan can include the follow-up cycle, the examinations recommended for each follow-up, and the matters needing attention before the examinations. For example, the matters needing attention in the examination can include: the materials to be prepared before the review and, for example, why an enhanced CT is needed, the differences between enhanced CT and ordinary CT, and the matters needing attention when having an enhanced CT. These guidelines, consensus, and matters needing attention in the examination can be stored locally on the patient terminal, or stored in the background server as a background support file, or stored in another storage device. In addition, the follow-up plan or review plan can be obtained by the doctor's terminal. The doctor can edit the template based on the patient's individual situation and make corresponding modifications and supplements.

[0092] The postoperative rehabilitation plan recommendation sub-module 115 is configured to provide a postoperative rehabilitation plan for the patient based on the patient's medical record information and the stage of the disease. Among them, the postoperative rehabilitation plan includes a rehabilitation plan for the patient himself / herself and a rehabilitation plan for the patient's family members.

[0093] For example, the rehabilitation plan for the patient's family members here may include the plan assisted by the family members for the patient. For example, for a lung cancer patient, the rehabilitation plan for the patient himself / herself may include breathing training, the use of a deep breathing function exerciser, effective coughing, etc., and the assistance provided by the family members may include back slapping, turning over, encouraging the patient to cough independently, wound care, etc. For example, the postoperative rehabilitation plan recommendation sub-module 115 can also provide the patient with an introduction to diet and recipe introductions. For example, these rehabilitation plans can be stored locally on the patient terminal, or stored on the background server, or stored in another remote storage device, and the present disclosure does not limit this here.

[0094] According to an embodiment of the present disclosure, the postoperative rehabilitation plan recommendation sub-module 115 can also provide a link for online communication with a doctor or a nurse. For example, the patient or the family member can click on this link at any time and jump to the interface for communicating with the doctor or the nurse. On this interface, the user can input text or voice to communicate with the doctor or the nurse online. According to some embodiments, the user can also make a voice or video call with the doctor or the nurse, and the present disclosure does not limit this.

[0095] The psychological intervention plan recommendation sub-module 116 can push psychological measurement scales to the patient, such as one or more of the PHQ-9 depression screening scale, the SAS self-rating anxiety scale, the SDS self-rating depression scale, the generalized anxiety disorder scale, and other proven useful psychological scales. For example, these psychological measurement scales and scoring criteria can be stored locally on the patient terminal, or stored on the background server, or stored in another remote storage device, and the present disclosure does not limit this here.

[0096] The psychological intervention plan recommendation sub-module 116 conducts a psychological assessment of the patient based on the patient's input for the psychological scale, so as to obtain an assessment result.

[0097] For example, the assessment result can be automatically synchronized to the doctor's front desk through a communication link and can be statistically analyzed by the doctor's front desk. Further, the psychological intervention plan recommendation sub-module 116 can also compare the obtained assessment result with the previous result, and can also summarize the results of each assessment, present them in a charted manner, and synchronize the summary and comparison results to the doctor's front desk.

[0098] If the severity of the evaluation result is relatively low, for example, within a preset threshold, the psychological intervention plan recommendation sub-module 116 then pushes personalized treatment suggestions for the patient's current state to the patient. For example, it can be conventional self-adjustment suggestions for the patient's current psychological state. For example, the self-adjustment suggestions can include psychological education lectures, popular science articles, or self-help tools (the content of the self-help tools is provided by professional psychiatrists). For example, here the conventional self-adjustment suggestions can be pre-stored in the local knowledge base, or stored in the background server, or stored in another remote storage device, and the present disclosure does not limit this. When the evaluation result reaches a certain warning value, for example, exceeds the preset warning threshold, the psychological intervention plan recommendation sub-module 116 then pushes a medical visit reminder to the patient. For example, the medical visit reminder can include a reminder message, indicating the risks currently existing for the patient and the need for a medical visit. In addition, for example, the medical visit reminder can also include providing online communication with an online psychiatrist, recommendation of relevant psychiatrists, hospital recommendation, hospital navigation information, interpretation of the evaluation result, knowledge related to medications and / or treatments, suggestions for medical visit preparation, and so on.

[0099] For example, the threshold can be set based on at least one of the patient's previous evaluation results, medical guidelines related to the patient's disease, and doctor's opinions.

[0100] For example, a link for online communication with a psychiatrist can be provided in the psychological intervention plan recommendation sub-module 116. For example, the patient or family member can click on the link and jump to the interface for communicating with the doctor or nurse, where the patient or family member can input text or voice to communicate with the doctor online. According to some embodiments, the patient or family member can also have a voice or video call with the doctor or nurse, and the present disclosure does not limit this.

[0101] The disease education sub-module 117 can be configured to: provide the patient with disease-related educational knowledge, where the disease-related educational knowledge includes one or more of the following: general information about a specific disease, knowledge of treatment medications and treatment means related to a specific disease, knowledge of common symptoms and adverse events of a specific disease and their corresponding severity grades, knowledge of common treatment measures for adverse events, knowledge of exercise and diet, and so on.

[0102] For example, taking lung cancer patients as an example, the overview information can be, for example, what is lung cancer? What are the high-risk factors? Incidence rate? Mortality rate? 5-year survival rate? Current treatment overview? Taking EGFR(+)-lung cancer as an example, what is EGFR(+)-lung cancer? Why is detection necessary? Is one-time detection sufficient? What are the treatment methods? How much might the treatment cost? What is drug resistance? What to do when drug resistance occurs? Clinical trial recruitment information, and so on. Information about relevant therapeutic drugs can also be provided to patients, such as an introduction to specific drugs, such as EGFR-TKIs. What are the common EGFR TKIs? What are the differences between generations of targeted drugs? What is the mechanism of action? What is the efficacy? What are the common AEs? How to handle these AEs? and so on. According to the embodiments of the present disclosure, the disease-related education information here can be pre-stored in a local knowledge base, or in a background server, or in another remote storage device, and the present disclosure does not limit this here.

[0103] For example, for high-risk patients with prostate cancer, if they are men aged >45 years with a family history or aged >50 years, the disease education sub-module 117 will automatically push pictures, texts and videos about prostate cancer disease education (including what is prostate cancer, the epidemiology of the disease, what causes the disease, which populations are prone to it, etc.), and based on the user's basic information, judge and prompt the user that they may be high-risk patients with prostate cancer and recommend going to a medical institution for PSA screening. If after the patient's PSA (prostate-specific antigen) is detected, for patients with PSA > 4 ng / ml, after the doctor or the patient inputs the test result, the disease education sub-module 117 will push targeted pictures, texts and videos of disease education (what examinations should be done next, what preparations are needed, what is the general process of the examination, what risks may there be, if the test result is prostate cancer, what is the prognosis of the disease, according to the risk prediction model, what stage is the patient currently in, etc.), eliminate the patient's fear of the unknown about their own disease, and prompt the patient to go to a medical institution for further examination, and provide hospital navigation for performing puncture operations or recommendations for nearby hospitals.

[0104] The following is an introduction to the electronic medical record module 120 in the patient front desk 100. The electronic medical record module may include: basic personal information of the patient, such as name, gender, age, medical record number, history of co-existing diseases, family history, smoking history, etc.; the patient's medical history information, such as when cancer was detected, previous treatments received, and current ongoing treatment plans; pathological and genetic test results; disease stage; organ metastasis; smoking history, quality of life assessment report, symptom / adverse event monitoring report, and psychological scale assessment results. For example, the results and comparisons of scales such as LCSS / FACT-L / SF-36 / psychological status completed by the patient in the application platform (such as APP) at the patient terminal or offline are summarized in the form of charts, and the patient can click on the details to view each scale; symptom / AE monitoring report. For example, the symptom and AE assessment results and comparisons completed by the patient in the application platform (such as APP) at the patient terminal or offline are summarized in the form of charts, and the patient can click on the details to view each assessment result.

[0105] The patient front desk 100 may further include an online communication module 130. The online communication module 130 may, for example, include an AI assistant sub-module 1301, a doctor online consultation and answer sub-module 1302, a psychologist consultation sub-module 1303, and a patient interaction link sub-module 1304.

[0106] For example, the patient can click on a link to jump to the online communication module 130 during the task execution of multiple sub-modules in the aforementioned task system module 110, and the patient can also directly enter the online communication module 130 when needed (such as by clicking on the online communication module icon).

[0107] The online communication module 130 can be implemented based on a real-time communication tool, capable of real-time sending and receiving of messages, voice, or picture information. It can simultaneously access multiple third-party channels, such as WeChat chat, public account fan messages, Douyin Weibo private messages, etc., and use a message quick reply tool or a customer service robot (i.e., AI assistant) for automatic reply to improve the overall communication efficiency. In some specific scenarios, it can also perform operations to batch guide users to purchase products.

[0108] For example, the AI assistant sub-module 1301 can transmit the information input by the patient to the middle platform. The middle platform automatically identifies the keywords in the information input by the patient and gives a standard reply based on the supporting literature or information in the background and transmits it back to the AI assistant sub-module 1301.

[0109] For example, the online doctor consultation and Q&A sub-module 1302 can automatically identify keywords in the patient's input information, remind the corresponding members of the multi-disciplinary treatment (MDT) team, and conduct online Q&A. In addition, the patient can also choose a doctor who is not in their own MDT team for consultation and communication.

[0110] For example, the psychological doctor consultation sub-module 1303 can automatically identify keywords in the patient's input information, assign professional psychological doctors for consultation and communication, or recommend that the patient go to the hospital for on-site treatment. For example, the appointment reminder can also include relevant doctor recommendations, hospital recommendations, hospital navigation information, appointment preparation suggestions, and so on.

[0111] For example, the patient interaction link sub-module 1304 can link to a patient group (the patient group can be formed on the platform or linked to an external third-party patient organization).

[0112] In addition, the patient front desk 100 can also include a knowledge base module 140 for storing relevant supporting documents mentioned above, such as disease-related education knowledge, approved gene detection methods and companies, postoperative lung function recovery knowledge, smoking cessation tips, psychological support knowledge and videos, review material lists, exercise and diet knowledge, and so on.

[0113] In the embodiments of the present disclosure, any information input by the patient in each module at the patient front desk will be synchronized to the middle desk. Based on the information received from each module at the patient front end and any relevant information of the patient, the middle desk generates data including the characteristics of the patient's disease, treatment path, behavior pattern, etc. These data together constitute a patient portrait, and such a patient portrait can identify the patient from multiple different dimensions. The middle desk will also judge a certain stage in the current disease development process of the patient based on the patient portrait, and give the next action plan or information, and will also give intervention measures or suggestions for the abnormal conditions of the patient.

[0114] It should be understood that the processing of each sub-module of the task system module 110 may not be executed by the local processor, but can be processed by the middle platform and the processing result can be sent to the front end. For example, taking the symptom / Adverse Event (AE) monitoring sub-module 112 as an example, the symptom / Adverse Event (AE) monitoring sub-module 112 can transmit the patient's input for the relevant scale to the middle platform. The middle platform then generates an evaluation result based on the information collected from the front end and the supporting documents in the background (such as the scoring criteria of the relevant scale), and then transmits the generated result to the symptom / Adverse Event (AE) monitoring sub-module 112 at the patient front end through, for example, a wireless link. The symptom / Adverse Event (AE) monitoring sub-module 112 can then feedback the result to the patient. In addition, for example, the processing process of how the disease education sub-module 117 here determines how to recommend disease-related education knowledge can also not be carried out locally. For example, the determination process of how the disease education sub-module 117 here recommends disease-related education knowledge can be carried out by the middle platform. For example, the middle platform determines what disease-related education knowledge to send to the patient terminal and when to push the disease-related education knowledge based on the patient's basic information, medical history information, and input information collected from the patient front end, etc. The patient terminal presents the disease-related education knowledge received from the middle platform to the patient through the disease education sub-module 117.

[0115] Figure 3 Figure 200 of the doctor front end for doctors in the system for providing cancer digital disease management according to an embodiment of the present disclosure is shown. For example, the system for providing cancer digital disease management here may have Figure 1 the front end, middle platform, and back end architecture shown. For example, the doctor front end here may include an application platform for doctors installed on the doctor terminal. For example, the application platform here may be an application program.

[0116] As Figure 3 shown, the doctor front end 200 for doctors includes: a diagnosis and treatment advice module 210, an online communication module 220, a patient management module 230, and a data statistics module 240. It should be understood that the sub-modules here are divided according to logical functions, and each module is not limited to different modules that are visual in the interface. The function of each module is introduced as follows:

[0117] The diagnosis and treatment advice module 210 determines abnormal conditions based on the information input by the patient at the patient front desk, and provides an intervention plan or advice for the doctor regarding the abnormal conditions. Taking the above-mentioned adverse event assessment result as an example, if it is grade 1-2, recommendations for self-treatment advice are provided through the patient front desk. In addition, the patient's assessment result is also synchronized to the doctor front desk for the doctor to monitor at any time. When necessary, the doctor can also give further supplementary diagnosis and treatment advice and feedback it to the patient front desk; if it is grade 3 or above, the patient front desk gives a reminder to seek medical treatment and links to the doctor. The diagnosis and treatment advice module 210 provides a standard template for handling the patient's adverse event status to the doctor. When necessary, the doctor will customize the plan based on the standard template and then feedback it to the patient.

[0118] The online communication module 220 at the doctor front desk 200 is similar to the online communication module 130 at the patient front desk, and can realize online instant communication between the patient / family member and the doctor. The doctor can receive questions from the patient / family member in the online communication module and answer them. For example, the online communication module 220 can be implemented based on a real-time communication tool, capable of real-time sending and receiving of messages, voice or picture information. For example, when receiving a patient's message, the online communication module 220 can notify the doctor in the form of a text pop-up window, or in the form of vibration or sound. For example, the doctor can communicate with the patient online through text or voice on the interface provided by the online communication module 220. According to some embodiments, the doctor can also make a voice or video call with the patient or family member, and the present disclosure does not limit this.

[0119] The patient management module 230 can manage patients. For example, patients can be managed in a one-to-one form or a one-to-many form. For example, the one-to-one form can be that one attending doctor or one MDT team corresponds to one patient, and the one-to-many form can be that one attending doctor or one MDT team corresponds to a group of patients. For example, in the case of one-to-many, disease education or follow-up advice can be sent to patients in batches on the application platform at the doctor terminal. The patient management module 230 can establish a separate management file for each of the one or more patients to be managed and monitor and manage them.

[0120] In addition, in the case where one doctor or one MDT team manages multiple patients at the same time, the patients to be managed can be stratified according to their different disease characteristics. For example, patients can be divided into high-risk, medium-risk, and low-risk according to the risk level of their diseases. Different patients can be monitored at different frequencies according to the degree of their conditions, and the attending doctor or MDT team can be reminded to take different intervention measures. For example, the monitoring here can include receiving and updating relevant information at the patient's end at a predetermined frequency to timely grasp the latest status of the patient.

[0121] The data statistics module 240 may have one or more of the following functions: the recurrence / progression of the patient's disease, which can automatically identify the recurrence / progression of the disease that occurs during the digital disease management process of the patient and perform data statistics; the improvement of the patient's QoL, which can automatically identify the results of the scale assessments (including LCSS / FACT-L / SF-36 / psychological status, etc.) carried out during the digital disease management process of the patient and perform data statistics, including the changes during the disease process of a single patient and the QoL changes of the batch of patients managed by the attending physician / MDT team; the readmission rate / emergency situation of the patient, which can automatically identify the readmission rate / emergency situation that occurs during the follow-up of the patient, including the changes during the disease process of a single patient and the changes of the batch of patients managed by the attending physician / MDT team.

[0122] Figure 4 Fig. shows the middle platform 300 in the system for providing digital disease management for cancer according to an embodiment of the present disclosure. For example, the system for providing digital disease management for cancer here may have the architecture of the front desk, middle platform, and back desk shown in Fig. 1. For example, the middle platform here may be implemented at the middle platform server.

[0123] As Figure 4 shown, the middle platform 300 includes: a medical strategy middle platform module 310, a patient file middle platform module 320, and an information processing middle platform module 330. The function description of each module is as follows:

[0124] The medical strategy center module 310 includes a program center submodule 311 and a strategy center 312. The program center submodule 311 can determine the patient's next action plan or information based on the patient's stage in the disease development process, and send the determined plan to the application platform at the patient's terminal. Take the patient with advanced non-small cell lung cancer who is positive for EGFR mutation as an example. The patient currently uses EGFR TKI drugs and has a rash. Based on the medication information received from the patient's front desk, the program center submodule 311 will send information about common adverse reactions that may occur with EGFR TKI to the patient's front desk. For example, one of the adverse reactions is a rash. The patient's front desk will display the information received from the program center submodule 311, such as the light, medium and severe classification of the rash. According to the corresponding schematic diagram and explanatory text, the patient can perform a self-assessment. If the assessment result is that the rash is mild, the program center submodule 311 will send the corresponding treatment suggestions and preventive protection measures to the patient's front desk, and remind the patient to re-evaluate after 2 weeks. At the same time, the program center submodule 311 can recommend or push the next intervention measures or suggestions for the patient to the doctor based on the patient's stage in the disease development process. Taking patients after surgery for early lung cancer as an example, the program center submodule 311 will recommend the doctor to push the corresponding postoperative rehabilitation video, and the corresponding disease education video and / or article based on the patient's current postoperative day. The strategy center submodule 312 will formulate a standard treatment strategy for the patient according to the standard process when the patient is discharged from the hospital or at the end of a single visit. In the process of digital disease management of patients, when the patient's condition deviates from the standard treatment strategy due to practical reasons, a new treatment path will be formulated for the patient based on the currently collected patient-related information to guide the patient to return to the standard path. Taking patients with advanced lung cancer as an example, after the patient is diagnosed, he continues to take targeted drugs orally. After the hospital's prescribed drugs are taken, the family members will take the drugs on his behalf. The patient himself has not been following the doctor's instructions for regular follow-up, deviating from the original preset standardized disease diagnosis and treatment path. When the strategy center submodule 312 determines that the patient has deviated from the originally preset standardized disease diagnosis and treatment path, it can set a follow-up reminder function according to the patient's current disease stage, and push targeted medical education content to tell him the importance of follow-up, what examinations are required for each follow-up, and why these examinations are required. By allowing patients to return to regular follow-up, drug resistance can be discovered early, treatment strategies can be adjusted, and ultimately survival and quality of life can be improved.

[0125] The patient profile center module 320 includes a data collection center submodule 321 and a portrait analysis center submodule 322. The data center submodule 321 receives the information input by the patient in each module of the patient front desk from the patient terminal and generates corresponding data. The portrait analysis center submodule 322 generates a patient portrait in combination with the information input by the patient in each module of the patient front desk. For example, the patient portrait includes one or more of pathological and genetic test results, disease staging, organ metastasis, previous treatment, current medication information, smoking history, treatment plan adjustment and reasons, and behavior patterns.

[0126] The information processing middle station module 330 includes a question-and-answer center submodule 331 and a dispensing center submodule 332. The question-and-answer center submodule 331 gives corresponding standard replies based on the common questions entered by the patient when communicating with the AI ​​assistant, doctor or patient, and feeds back to the patient front desk. The standard replies corresponding to the common questions can be stored in the background memory or in another remote memory, and are obtained by the middle station through the communication link during the communication between the patient and the doctor, and provided to the patient or doctor. The standard replies here can be updated regularly and continuously improved through machine learning and manual proofreading as the number of communications increases. The dispensing center submodule 332 can automatically provide the patient with suitable hospitals or pharmacies in the area based on the patient's location according to the patient's questions about the hospital or doctor or the drug purchase channel. For example, the dispensing center submodule 332 can have an electronic map built in, or it can be connected to a third-party map application for intuitively displaying navigation information and map information to the patient. On this basis, as online medical treatment becomes more and more mature, it is also possible to directly provide patients with links to suitable Internet hospitals or direct-to-patient (DTP) pharmacies.

[0127] Figure 5 The backend 400 in the system for providing digital cancer disease management according to an embodiment of the present disclosure is shown. For example, the system for providing digital cancer disease management here may have the architecture of the frontend, middleend and backend shown in Figure 1. For example, the backend here may be implemented at the backend server.

[0128] like Figure 5 As shown, the backend 400 includes: a knowledge base management module 410, a question and answer library management module 420, an order management module 430, and a user management module 440. The functions of each module are as follows:

[0129] The knowledge base management module 410 is used to manage and provide background support files to the patient terminal, such as disease-related education knowledge, approved gene detection methods and companies, the latest approved indications of drugs, drug instructions and medical insurance information, postoperative lung function recovery knowledge, psychological support knowledge and videos, review material lists, exercise and diet knowledge, relevant medical literature, standardized medical scales and scoring criteria with a predetermined format, medical guidelines related to the patient's disease (taking lung cancer patients as an example, including guidelines such as CSCO / NCCN / ASCO / ESMO, etc.) and / or consensus, examination precautions, nursing common sense for postoperative patients, psychological self-adjustment plans and guiding rehabilitation plans, clinical trial recruitment information, common disease Q&A for patients, and so on.

[0130] The Q&A library management module 420 is used to manage the standard responses to common questions input by patients at the online communication module 130 of the terminal application platform. During the online communication between patients and doctors, the middle platform can obtain some standard responses to common questions from the Q&A library management module 420. Here, the standard responses can be processed through machine learning and manual proofreading as the number of communications increases, and are updated regularly to be continuously improved. The order management module 430 is used to process orders generated by patients purchasing one or more of drugs, medical devices, equipment, testing services, and user rights through the system. The user management module 440 is used to manage the opening and closing of user privileges and the handling of user usage suggestions.

[0131] It should be understood that although the background is described as a separate entity above, in another embodiment of the present disclosure, the background can also be integrated as part of the middle platform. For example, it can be physically separated from the middle platform, but logically it can belong to a part of the middle platform, and the present disclosure does not limit this.

[0132] Figure 6 An exemplary application scenario diagram for implementing the cancer digital disease management system 10 provided by any embodiment of the present disclosure is shown. As Figure 6 shown, the system 10 may include a patient front end 100, a doctor front end 200, a network 500, a middle platform 300, and a background 400.

[0133] The patient front end 100 and the doctor front end 200 may be implemented at the patient terminal and the doctor terminal respectively, where the patient terminal and the doctor terminal may be any other type of electronic device capable of receiving, processing, and displaying data, which may include but are not limited to desktop computers, laptop computers, tablet computers, smart home devices, wearable devices, in-vehicle electronic devices, medical electronic devices, etc.

[0134] The middle platform 300 and the backstage 400 can be implemented on a middle platform server and a backstage server respectively. For example, the middle platform server and the backstage server here can be a single server or a group of servers. Each server in the server group is connected through a wired network or a wireless network. The server group can be centralized or distributed, and can be local or remote. For example, the middle platform server and the backstage server here can be general-purpose servers or dedicated servers, and can be virtual servers or cloud servers, etc. For example, the middle platform server can process and analyze data based on the data collected by the front desk, and provide corresponding treatment plans / treatment strategies and data for the front desk users based on the data collected by the front desk and the supporting information of the backstage. For example, the backstage server here can be configured for knowledge base management, Q&A library management, order management, user management, etc. It can include an internal memory for storing the foregoing supporting files and information, etc., and can also be connected to an external memory and obtain the foregoing supporting files and information from the external memory.

[0135] In view of the deficiencies in the prior art, the present invention breaks through the limitations of time and space, and through the mobile Internet, establishes a personalized, timely and accurate out-of-hospital support system for cancer patients. It not only focuses on drug treatment, but also pays attention to non-drug intervention measures, enables patients to obtain full-life-cycle health management and services, and ultimately achieves a double improvement in survival and quality of life. Track the long-term follow-up of individual and group lung cancer patients, and structured and standardized follow-up data provide strong data support for optimizing the standardized diagnosis and treatment strategies for cancer.

[0136] The following shows an example process of intervening and giving suggestions to patients by a system for providing cancer digital disease management based on the embodiments of the present disclosure.

[0137] For example, a lung cancer patient is admitted to the hospital and plans to receive surgical treatment. After admission, the doctor prescribes this digital disease management plan to the patient. During the hospitalization period and after discharge, the patient can understand his own disease condition and receive personalized treatment through this digital disease management plan.

[0138] The first day after surgery to discharge

[0139] The two most important things after surgery: 1. Get out of bed and move around. 2. Deep breathing, coughing, and expectoration.

[0140] 1. Get out of bed and move around

[0141] On the first day after surgery, except for special instructions from the nurse, you should get out of bed and move as soon as possible. Long-term bed rest may increase the risk of lower extremity venous thrombosis, aspiration pneumonia, cardiovascular and cerebrovascular complications, and delay the recovery of gastrointestinal function. Based on this digital disease management solution, disease education knowledge about these complications and operational suggestions for preventing complications can be pushed in a targeted manner. It is usually recommended to get out of bed and move once every two hours, and walk around the ward 4-5 times (about 200 meters) accompanied by family members each time. In the later stage, wearable devices can be used to record parameters such as steps, distance, activity time, heart rate, pulse, and breathing to form a patient's exercise record. The relevant parameters recorded by the wearable device can be connected to the patient terminal and uploaded to the middle station, and the middle station can adjust the exercise intensity according to the patient's activity. For example, combined with the patient's postoperative status, the patient application platform at the patient's front desk can automatically appear in the postoperative rehabilitation program recommendation submodule 115, recommending videos and graphic version of exercise methods for patients. Patients can check in every day and the sports rankings among patients are used to encourage patients to exercise.

[0142] 2. Coughing, expectoration, and breathing exercises

[0143] Coughing, expectoration, and breathing exercises are the most critical methods to prevent lung infection after surgery. They are also very important as they are conducive to lung re-expansion and the discharge of pleural effusion. Disease education knowledge on why coughing, expectoration, and breathing exercises are needed after surgery can be pushed in a targeted manner through the disease education submodule 117 based on this digital disease management solution. It is generally recommended to perform deep breathing and coughing exercises once every 1-2 hours when awake, and at least 10-15 deep breathing and coughing each time. The method is to take a deep breath and expel the air once or several times. Coughing after exhaling will not cause the wound to rupture. For example, based on the patient's postoperative status, the postoperative rehabilitation plan recommendation submodule 115 can automatically appear in the patient application platform at the patient's front desk, and push videos and text versions of the key points of deep breathing and coughing exercises, as well as the use of pulmonary function trainers, to the patient. At the same time, it is recommended that patients use pulmonary function trainers for exercise after surgery, which will help to better restore lung function.

[0144] 3. Diet

[0145] If there are no special circumstances, you can eat normally, but be careful to avoid choking and aspiration. Dietary principles: high protein (lean meat, fish, eggs, etc.), high calories (cereals), high vitamins (oranges, bananas, etc.), low fat diet. The hospital will provide meals, and family members can prepare fruit juice and other appropriate vitamins and electrolytes. The patient front desk 100 can also combine the patient's postoperative status. The patient application platform at the patient front desk can automatically display the postoperative rehabilitation plan recommendation submodule 115, and push video and text version of the recipe introduction to the patient.

[0146] 4. Medication

[0147] After thoracic surgery, anti-infection, phlegm-dissolving, analgesic and other treatments are routinely given. Except for special anticoagulant drugs, long-term medications before surgery can be continued after surgery. The medication reminder sub-module 113 for patients contains discharge instructions. After discharge, it automatically reminds patients to take medications daily and, according to the discharge instructions, to have regular follow-up consultations. The cycle of follow-up consultations will be adjusted according to the new medical orders after each hospital visit by the patient.

[0148] 5. Common postoperative complications and their management

[0149] Combined with the patient's postoperative status, the disease education sub-module 117 automatically appears, including the introduction of disease education knowledge about common postoperative complications such as how long these complications generally last and what causes them. In addition, the symptom / AE monitoring sub-module 112 can automatically appear. Patients can rate their symptoms by themselves. If the rating exceeds different warning values, there will be a reminder to seek medical treatment or recommended treatment suggestions.

[0150] 1) Wound pain: Most surgical patients will experience wound pain, especially those who have undergone open surgery. In addition, some patients may feel chest pain, mainly due to the friction of the chest tube against the chest wall. The pain may affect postoperative breathing, coughing, and movement. Doctors and nurses will give corresponding analgesic treatments after surgery. However, some analgesics may affect gastrointestinal motility and cause flatulence, so frequent use of analgesics is not recommended, and postoperative pain may last for a long time.

[0151] 2) Dizziness, nausea, and vomiting: Postoperative symptoms such as dizziness, nausea, and vomiting may be caused by general anesthesia and the use of analgesics, especially on the first postoperative day. If vomiting seriously affects eating, notify the medical staff for antiemetic treatment. Usually, getting out of bed and moving around as early as possible helps to speed up the disappearance of the above symptoms.

[0152] 3) Fever: Mild low-grade fever (not exceeding 38 degrees) is a normal postoperative reaction and does not require special treatment. If poor expectoration causes atelectasis and pneumonia, it will lead to persistent high fever above 38 degrees, which is the most common complication after lung surgery, affecting recovery and even possibly causing serious consequences such as respiratory failure. Therefore, it is very important to induce postoperative coughing.

[0153] 4) Chest tightness, shortness of breath, and breathlessness: Usually, patients will feel mild chest tightness, breathlessness, and shortness of breath after surgery, which is related to the temporary loss of lung function and will gradually improve after surgery. Generally, it can recover to the preoperative level 4 - 6 months after surgery, and the degree of recovery is also related to the surgical method. Some severe cases of chest tightness and shortness of breath may be caused by abnormal cardiopulmonary function and need to be treated promptly.

[0154] 5) Abdominal distension and constipation: Postoperative anesthesia may cause short-term constipation (usually 4 - 5 days), and generally, laxative treatments (such as Duphalac, glycerin suppository, senna leaf infusion, etc.) will be given. Early getting out of bed and moving around helps to improve the symptoms of abdominal distension and constipation.

[0155] 6) Insomnia: Most patients will experience at least 1 day of difficulty sleeping after surgery, which may be related to symptoms such as postoperative pain and chest tightness, or may be related to anxiety, restless mood or environment. After surgery, family members should try to create a quiet environment, avoid stimulation, and take sleeping pills when appropriate. Good sleep has an important impact on postoperative recovery.

[0156] Discharge day.

[0157] The disease education submodule 117 will give reminders, such as what conditions can lead to discharge and what needs to be done before discharge. Usually, patients can be considered for discharge if their condition is stable after surgery and they are observed for 12-24 hours without special conditions after the chest tube is removed. The central venous tube in the neck needs to be removed before discharge.

[0158] Reexamination after discharge. The follow-up / reexamination plan recommendation submodule 114 will automatically remind you, such as the reexamination time, the information to be brought for the reexamination, and what examinations will be done during the reexamination. Based on the results of each reexamination, the next reexamination time and precautions will be determined.

[0159] Problems that may be faced after discharge. The postoperative rehabilitation plan recommendation submodule 115 will display the problems that the postoperative patient may encounter after discharge, such as wound treatment, medication, diet, exercise, etc. mentioned below. It has continuity with the content during hospitalization and pushes disease education content in a targeted manner. Please refer to the module content during hospitalization above.

[0160] Wound treatment and suture removal:

[0161] It is recommended to disinfect the wound with alcohol or iodine once in the morning and once in the evening until the stitches are removed. If there is no exudate from the wound, it is not necessary to cover it with gauze. Try not to get it wet to avoid infection. After discharge from the hospital, a small amount of yellow or red clear liquid will flow out of the drainage tube wound, which is a normal phenomenon. Usually, the gauze covering can be removed 48 hours after the tube is removed. If the gauze is soaked, it needs to be replaced with clean gauze. Usually, the stitches of the drainage tube wound need to be removed after three weeks.

[0162] Medication after discharge:

[0163] Generally, no special medication is required after lung surgery, and preoperative medication can continue to be taken. However, since most patients may have symptoms such as wound pain and low fever after discharge, certain analgesics, expectorants, antitussive drugs and antibiotics will be prescribed to control symptoms when discharged. However, even if no medication is taken, the above symptoms will be relieved.

[0164] Diet after discharge:

[0165] There are usually no dietary restrictions, but considering that immunity is low after surgery, it is recommended to eat less spicy and irritating foods, increase protein and calorie intake, strengthen a balanced diet, and increase the proportion of vegetables and fruits in the diet.

[0166] Rest and Exercise after Discharge

[0167] Weakness and fatigue after discharge from the hospital are normal phenomena. At the same time, changes in diet and sleep habits can also affect recovery. To enhance recovery, appropriate exercise after discharge is essential, which can improve sleep and increase lung capacity.

[0168] Normally, one can take care of oneself in daily life and perform simple household chores. Lifting heavy objects is recommended to be carried out after 1 month of surgery. Fast walking and climbing stairs are good ways to recover lung function after surgery. It is advisable to proceed step by step and do according to one's ability. Participating in some exercise courses for post-lung surgery can also effectively improve recovery.

[0169] Those skilled in the art can understand that the content disclosed in this disclosure can have various variations and improvements. For example, the various devices or components described above can be implemented by hardware, or by software, firmware, or some or all combinations of the three.

[0170] In addition, although this disclosure makes various references to certain units in the systems according to the embodiments of this disclosure, however, any number of different units can be used and run on the application platform and / or server. The units are only illustrative, and different aspects of the system and method can use different units.

[0171] Those of ordinary skill in the art can understand that all or part of the steps in the above methods can be completed by instructing relevant hardware through a program, and the program can be stored in a computer-readable storage medium, such as a read-only memory, a disk, or an optical disc, etc. Optionally, all or part of the steps of the above embodiments can also be implemented using one or more integrated circuits. Accordingly, the various modules / units in the above embodiments can be implemented in the form of hardware or in the form of software functional modules. This disclosure is not limited to any specific form of combination of hardware and software.

[0172] Unless otherwise defined, all terms (including technical and scientific terms) used here have the same meaning as commonly understood by those of ordinary skill in the art to which this disclosure belongs. It should also be understood that terms such as those defined in a common dictionary should be interpreted as having a meaning consistent with their meaning in the context of the relevant art, and should not be interpreted in an idealized or overly formal sense unless clearly defined as such here.

[0173] The foregoing is a description of the present disclosure and should not be construed as a limitation thereof. Although several exemplary embodiments of the present disclosure have been described, those skilled in the art will readily appreciate that many modifications can be made to the exemplary embodiments without departing from the novel teachings and advantages of the present disclosure. Accordingly, all such modifications are intended to be included within the scope of the present disclosure as defined by the claims. It should be understood that the foregoing is a description of the present disclosure and should not be considered limited to the specific embodiments disclosed, and modifications to the disclosed embodiments as well as other embodiments are intended to be included within the scope of the appended claims. The present disclosure is defined by the claims and their equivalents.

Claims

1. A front-end system for providing digital disease management for cancer patients, comprising: A task system module, configured to: Determine the diagnosis and treatment stage of the patient, and In response to the patient being in the initial visit stage, display a prompt message asking whether the patient has undergone biomarker testing; In response to the patient inputting "no", push knowledge about the necessity of biomarker testing and a visit reminder to the patient; And In response to the patient inputting "yes", obtain the patient's biomarker test results; In response to the patient being in the treatment stage, push a standardized medical scale with a predetermined format to the patient, and the medical scale includes one or more of the following: a physical symptom scale related to the patient's disease, an adverse event scale, a psychological measurement scale, and a quality of life scoring scale; Receive and analyze the input data of the patient for the medical scale to obtain an evaluation result indicating the patient's status; Compare the evaluation result with a predetermined threshold, where the evaluation result indicates the severity of the patient's symptoms or an emergency event related to the patient's symptoms, and the predetermined threshold is determined based on at least one of the patient's previous evaluation results, medical guidelines related to the patient's disease, and doctor's opinions; in response to the evaluation result being within the predetermined threshold, push an intervention plan including treatment suggestions to the patient, and the treatment suggestions include personalized treatment suggestions for the patient's status; And In response to the evaluation result exceeding the predetermined threshold, push an intervention plan including a visit reminder to the patient, and the visit reminder includes one or more of the following: doctor recommendation, hospital recommendation, hospital navigation information, evaluation result interpretation, drug and / or treatment related knowledge, visit preparation suggestions.

2. The front desk system according to claim 1, wherein The task system module is further configured to: Obtain the patient's prescription information; Automatically identify the drugs to be taken by the patient and the corresponding drug dosage, administration frequency, and administration cycle based on the prescription information; Based on the identified dosage, administration frequency, and administration cycle, regularly push a medication reminder to the patient until the end of the medication cycle; and During or at the end of the medication cycle, push a visit and follow-up reminder and follow-up precautions to the patient.

3. The front desk system according to claim 1, wherein The task system module is further configured to: Obtain the patient's medical record information and classify the disease stage of the patient based on the medical record information; Develop a follow-up standard template for the patient based on the classification, and the follow-up standard template includes follow-up suggestions for the patient at different stages in the medical guidelines related to the patient's disease, and the follow-up suggestions include the follow-up cycle, the examinations recommended for each follow-up, and the precautions before the examinations.

4. The front desk system according to claim 3, wherein, The task system module is further configured to: Provide a postoperative rehabilitation plan to the patient based on the patient's medical record information and the disease stage, wherein the postoperative rehabilitation plan includes a rehabilitation plan for the patient himself / herself and a rehabilitation plan for the patient's family members.

5. The front desk system according to claim 1, wherein The task system module is further configured to: provide the patient with disease-related educational knowledge, which includes one or more of the following: general information about a specific disease, knowledge of treatment drugs and treatment means related to a specific disease, common symptoms of a specific disease, knowledge of treatment-related adverse events and corresponding severity grading, knowledge of common treatment measures for adverse events, and exercise and diet knowledge.

6. The front desk system according to claim 1, wherein The psychological measurement scale includes at least one of the following: PHQ-9 Depression Screening Scale, SAS Self-Rating Anxiety Scale, SDS Self-Rating Depression Scale, and Generalized Anxiety Disorder Scale. The task system module is further configured to: In response to the evaluation result of the psychological measurement scale being within the predetermined threshold, push suggestions for self-adjustment to the patient; in response to the evaluation result of the psychological measurement scale exceeding the predetermined threshold, push a medical appointment reminder to the patient, and the medical appointment reminder includes one or more of the following: online communication with a doctor, doctor recommendation, hospital recommendation, hospital navigation information, interpretation of the evaluation result, knowledge of drugs and / or treatment, and suggestions for medical appointment preparation.

7. The front-end system according to claim 1, further comprising an online communication module, which is configured to: Provide an online communication interface; Automatically identify keywords in the patient's input information; Based on the identified keywords, perform one or more of the following functions: automatically reply to the patient, recommend corresponding multidisciplinary diagnosis and treatment team doctor members to the patient, assign a professional doctor, and push a medical appointment reminder; and Based on the doctor selected by the user, link the patient to the selected doctor for online consultation and communication.

8. The front desk system according to claim 7, wherein, The online communication module is further configured to: Provide the patient with a link to interact with other patients; and Based on detecting that the patient clicks the interaction link, link the patient to a patient communication group.

9. The front-end system according to claim 1, further comprising an electronic medical record module, which is configured to provide the patient with one or more of the following: basic personal information of the patient, pathological and genetic test results, disease stage, organ metastasis, previous treatment received, current medication information, smoking history, quality of life assessment report and symptom / adverse event monitoring report, and psychological scale evaluation result.

10. The front desk system according to claim 1, wherein, The front-end system further comprises a knowledge base module, which is configured to provide the patient with one or more of the following: disease-related educational knowledge, approved gene detection methods and companies, knowledge of postoperative lung function recovery, smoking cessation tips, psychological support knowledge and videos, list of review materials, and exercise and diet knowledge.

11. The front desk system according to claim 1, wherein, The task system module is further configured to: Send the data input by the patient in the front-end system for providing cancer digital disease management to the middle-end system for cancer digital disease management, and Receive from the middle - platform system one or more of the following items generated by the middle - platform system based on the data input by the patient and the background support files: the next treatment plan and treatment strategy for the current stage of the patient, the reply generated for the common questions input by the patient in the online communication module, or the appropriate hospital and pharmacy addresses within the patient's area and the links to the appropriate Internet hospitals or direct - to - patient DTP pharmacies determined based on the questions input by the patient in the online communication module regarding the visiting hospital, doctor, or drug purchase channels.

12. The front desk system according to claim 11, wherein, The background support files include: disease - related education knowledge, approved gene - testing methods and companies, the latest approved indications of drugs, drug specifications and medical insurance information, knowledge of postoperative lung function recovery, psychological support knowledge and videos, review data lists, exercise and diet knowledge, relevant medical literature, standardized medical scales with a predetermined format and scoring criteria, medical guidelines and / or consensus related to the patient's disease, precautions for examinations, nursing common sense for postoperative patients, psychological self - adjustment programs and guiding rehabilitation programs, clinical trial recruitment information, and answers to common questions of patients.

13. A front - end system for providing digital disease management of cancer for doctors, comprising: A diagnosis and treatment advice module configured to propose an intervention plan and diagnosis and treatment advice for patient abnormal condition information; An online communication module configured to provide an interface for doctors to communicate with patients, where doctors answer patients' questions; A patient management module configured to establish a separate management file for each of one or more managed patients and monitor and manage them; And A data statistics module configured to receive information input by one or more patients through the front - end system for digital disease management of cancer for patients as described in any one of claims 1 - 12 and perform data statistics.

14. The front desk system according to claim 13, wherein, The patient management module is further configured to: Push disease education or follow - up advice to one or more managed patients in batches; Stratify patients based on the disease risk levels of one or more patients; And Recommend different intervention plans and monitoring frequencies to doctors according to the different risk levels of patients.

15. The front desk system according to claim 13, wherein, The data statistics module is further configured to receive information input by one or more patients and perform the following steps based on the received information: Identify the disease recurrence or progression situations that occur during the treatment process of the one or more patients and perform data statistics; Identify the scale assessment results of the one or more patients and perform data statistics; And Identify the readmission rate or emergency situations that occur during the treatment process of the one or more patients.

16. A middle - platform system for providing digital disease management of cancer, comprising: A patient file middle - platform module configured to collect user information from one or more front - end systems for digital disease management of cancer for patients as described in any one of claims 1 - 12 and generate a patient portrait based on the collected information; A medical strategy middle - platform module configured to generate a treatment plan and treatment strategy based on the collected user - related information; And The information processing middle platform module is configured to generate responses to common questions of users or patients.

17. The middle platform system according to claim 16, wherein the patient file middle platform module comprises: A data collection center sub-module configured to collect information input by a user at a user terminal; A portrait analysis sub-module configured to generate a patient portrait based on the information collected by the data collection center sub-module, wherein the patient portrait includes one or more of pathological and genetic test results, disease stage, organ metastasis, previous treatments received, current medication information, smoking history, treatment plan adjustment and reasons, and behavior patterns.

18. The middle platform system according to claim 16, wherein the medical strategy middle platform module comprises: A plan center sub-module configured to formulate a next action plan for a patient based on the stage of the disease development of the patient, and to recommend or push to a doctor the next intervention measure or advice for the patient; A strategy center sub-module configured to formulate a standard treatment path for a patient, and when the current state of the patient deviates from a preset state of the standard treatment path, formulate a new treatment path.

19. The middle platform system according to claim 16, wherein the information processing middle platform module comprises: A question and answer center sub-module configured to: Receive common questions input by a patient in an online communication module of a patient front-end system; Generate a standard response to the common questions; And Send the generated standard response back to the patient front-end system, A deployment center configured to: Receive questions from a patient in an online communication module of a patient front-end system regarding a hospital, a doctor, or a drug purchase channel; Based on the questions input by the patient at the patient terminal regarding a hospital for medical treatment, a doctor, or a drug purchase channel, determine suitable hospitals and pharmacies within the patient's area and links to suitable Internet hospitals or DTP pharmacies; And Send the addresses of the determined hospitals and pharmacies and the links to suitable Internet hospitals or DTP pharmacies back to the patient front-end system.

20. The middle platform system according to claim 16, further comprising a back-end system, wherein the back-end system comprises: A knowledge base management module configured to store and manage one or more of disease-related educational knowledge, approved gene detection methods and companies, latest approved indications of drugs, drug instructions and medical insurance information, postoperative lung function recovery knowledge, psychological support knowledge and videos, review material lists, exercise and diet knowledge, relevant medical literature, standardized medical scales and scoring criteria with a predetermined format, medical guidelines and / or consensus related to the patient's disease, examination precautions, postoperative patient care common sense, psychological self-adjustment plans and guiding rehabilitation plans, clinical trial recruitment information, and patient common disease Q&A; A Q&A library management module configured to store and manage standard responses provided by patients to common questions input by patients at patient terminals; An order management order module configured to process orders generated by a patient purchasing one or more of drugs, medical devices, equipment, testing services, and user rights through the system; The user management module is configured to manage the opening and closing of user privileges and the handling of user usage suggestions.

21. A system for providing cancer digital disease management, including a front-end system for patients, a front-end system for doctors, a middle-tier system, and a back-end system. Among them, The front-end system for patients is the front-end system for cancer digital disease management for patients according to any one of claims 1-12; The front-end system for doctors is the front-end system for cancer digital disease management for doctors according to any one of claims 13-15; The middle-tier system is the middle-tier system for cancer digital disease management according to any one of claims 16-19; And The back-end system is the back-end system for cancer digital disease management described in claim 20; among them, based on the management and scheduling of the databases of the front-end system for doctors, the middle-tier system, and the back-end system, a cancer digital disease management solution is provided to the front-end system for patients.

Images