Operation patient full-period management system based on ERAS

Abstract

The invention provides an ERAS-based surgical patient full-period management system, which is used for creating an ERAS-based surgical patient full-period management system based on an ERAS concept, and provides a series of specific implementation schemes in various details, so that coordinated management of each stage of a preoperative, an intraoperative and a postoperative is intelligently realized; the postoperative recovery process of the patient is optimized, efficient hospital resource allocation is promoted, and the purposes of relieving the burden of the patient and saving medical resources are achieved.

Description

Technical Field

[0001] The present application relates to the field of medical technology, and in particular to a full-cycle management system for surgical patients based on ERAS. Background Art

[0002] Surgical patients are the patients that are given more attention in hospital management. Therefore, in actual situations, there are numerous electronic systems surrounding surgical patients, and there are many links involved in surgical patients from preoperative, intraoperative to postoperative stages.

[0003] The inventors of the present application have discovered that traditional surgical patient management often lacks systematic full-process monitoring and optimization, and coordination and information transfer between stages are often insufficient, which may potentially affect the quality of surgical patient recovery and the efficiency of hospital resource allocation. Summary of the invention

[0004] The present application provides a full-cycle management system for surgical patients based on ERAS, which is used to create a full-cycle management system for surgical patients based on the concept of Enhanced Recovery After Surgery (ERAS), and provides a series of specific implementation solutions in various details, so as to intelligently realize the coordinated management of each stage before, during and after surgery, optimize the patient's postoperative recovery process, improve medical efficiency, optimize the patient's rehabilitation process, reduce hospital operating costs and improve the patient's medical experience, and solve potential problems in the existing technology that may affect the recovery quality of surgical patients and the efficiency of hospital resource allocation.

[0005] The present application provides a full-cycle management system for surgical patients based on ERAS, which includes a patient data management module, an intelligent assessment and decision-making module, an intraoperative real-time monitoring module, a postoperative rehabilitation management module, a discharge follow-up module, and a quality control module;

[0006] The patient data management module is used to match the different surgical patients included in the hospital with the pre-configured in-hospital standardized ERAS clinical pathway library based on different clinical specialties involved in different diseases and application scenarios. The intelligent assessment and decision-making module, intraoperative real-time monitoring module, postoperative rehabilitation management module, discharge follow-up module and quality control module are based on the different in-hospital standardized ERAS clinical pathways matched with different surgical patients, and perform adaptive segmentation processing based on the corresponding patient data;

[0007] The intelligent assessment and decision-making module is used to generate preoperative assessment indicators, indications, contraindications, risk prevention plans, surgical plans and anesthesia plans, and to provide reminders of abnormal items and potential diseases. The risk prevention plan involves coagulation risks, infection control and nutritional risks, and the surgical plan involves surgical methods and surgical pathways.

[0008] The intraoperative real-time monitoring module is used to monitor vital signs, complications and infection risks in real time during surgery, and provide real-time warnings;

[0009] The postoperative rehabilitation management module is used to adjust the postoperative rehabilitation measures in real time based on the matched rehabilitation measures and the patient's postoperative status and examination and test results, adjust the rehabilitation plan in real time according to the postoperative recovery situation and evaluation results, and record and track the rehabilitation progress;

[0010] The discharge follow-up module is used to generate a follow-up plan based on the patient's discharge status, and provide remote monitoring services for patient health data, online consultation services, and health guidance services;

[0011] The quality control module is used to perform quality control management through data visualization settings based on the surgical quality control database that records surgical types, operating specifications and postoperative complications.

[0012] In the first possible implementation of this application, the in-hospital standardized ERAS clinical pathway library involved in the in-hospital standardized ERAS clinical pathway is specifically configured based on disease types, and different diseases specifically involve:

[0013] Kidney transplantation, liver transplantation, nephrectomy, pituitary tumor, trigeminal neuralgia, thoracic and lumbar intramedullary tumor, meningioma, cerebellopontine angle tumor, primary hip replacement, primary knee replacement, knee arthroscopy, anterior cervical surgery, posterior cervical surgery, lumbar endoscopic surgery, internal fixation of lower limb fractures, internal fixation of upper limb fractures, breast malignancy, thyroid malignancy, gastric cancer, colon cancer, rectal cancer, metabolic syndrome, perianal disease, inguinal hernia, biliary tumor, bile duct stone, gallbladder stone removal, acute pancreatitis, pancreatic tumor, liver malignancy, hemangioma, liver cyst, gallbladder stone, portal hypertension, lung tumor, pneumothorax, esophageal tumor, chest wall deformity, mediastinal tumor, coronary heart disease, valvular heart disease, type III aortic dissection, congenital heart disease, pulmonary space occupying lesions, hypertrophic obstructive cardiomyopathy, secretion Urinary stones, prostate cancer, bladder tumors, prostatic hyperplasia, bladder cancer, adrenal diseases, kidney cancer, renal cysts, urethral stenosis, ureteral cancer, genitourinary tumors, hydrocele, varicocele, stress urinary incontinence, Hirschsprung's disease / constipation in children, appendicitis, epispadias / hypospadias, hydronephrosis, lower limb fractures, bone tumors, cryptorchidism, torticollis, polydactyly / syndactyly, internal fixation removal after fracture surgery, pelvic fracture, nasal deformity correction, ear deformity correction, hair transplantation, breast disease, liposuction, chronic otitis media, chronic sinusitis, laryngeal cancer, benign vocal cord tumors, pediatric snoring, jaw fractures, benign parotid tumors, oral cancer, cesarean section, ovarian cysts, cervical cancer, cervical adhesions, fallopian tube obstruction, elderly thyroid tumors, elderly urinary stones, elderly prostate surgery, elderly breast tumors and elderly gastrointestinal tumors.

[0014] In a second possible implementation of the present application, for the current surgical patient, the ERAS-based surgical patient full-cycle management system provides pre-hospitalization guidance based on the standardized ERAS clinical pathway within the target hospital matched with the current surgical patient.

[0015] In a third possible implementation of the present application, the ERAS-based surgical patient full-cycle management system performs ERAS prescription processing and ERAS patient list maintenance processing at the corresponding doctor station, as well as ERAS patient identification processing at the corresponding inpatient nurse station.

[0016] In the fourth possible implementation of the present application, the ERAS-based surgical patient full-cycle management system determines personalized preoperative health education and provides prompts based on the patient data of the current surgical patient. The personalized preoperative health education involves preoperative precautions, surgical procedures, postoperative recovery, complication prevention, dietary adjustment, and psychological support.

[0017] In the fifth possible implementation of the present application, the ERAS-based surgical patient full-cycle management system develops a personalized preoperative preparation plan based on the patient data of the current surgical patient to obtain a corresponding preparation list and schedule, and automatically reminds based on the preparation list and schedule, and tracks the preparation progress in real time.

[0018] In the sixth possible implementation of the present application, the ERAS-based surgical patient full-cycle management system generates real-time warning results including specific warning content and specific response measures based on the real-time monitoring results of vital signs, complications and infection risks during the operation, so as to provide real-time warning.

[0019] In the seventh possible implementation of the present application, the rehabilitation program specifically involves an analgesic program, a nausea and vomiting prevention program, a duct management program, and a dietary management program.

[0020] In an eighth possible implementation of the present application, the follow-up plan specifically involves follow-up tasks within 24 hours, 7 days, and one month after discharge, and different follow-up tasks are reminded and recorded in the form of a follow-up list.

[0021] In the ninth possible implementation of the present application, the quality control management process specifically involves ERAS clinical pathway quality control indicators including ERAS measure implementation rate, average length of stay, and hospitalization costs.

[0022] From the above content, it can be concluded that the present application has the following beneficial effects:

[0023] In response to the potential problems that existing surgical patient management programs may affect the quality of surgical patient recovery and the efficiency of hospital resource allocation, this application is based on the ERAS concept and creates a full-cycle management system for surgical patients based on ERAS. It also provides a series of specific implementation plans in various details, so as to intelligently realize the coordinated management of each stage before, during and after surgery, optimize the patient's postoperative recovery process, improve medical efficiency, optimize the patient's rehabilitation process, reduce hospital operating costs and improve the patient's medical experience, and solve the potential problems in existing technologies that may affect the quality of surgical patient recovery and the efficiency of hospital resource allocation. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0025] Figure 1 This is a schematic diagram of the system architecture of the ERAS-based full-cycle management system for surgical patients in this application. DETAILED DESCRIPTION

[0026] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of this application.

[0027] The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments described here can be implemented in an order other than that illustrated or described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or modules is not necessarily limited to those steps or modules clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products or devices. The naming or numbering of steps in this application does not mean that the steps in the method flow must be executed in the time / logical sequence indicated by the naming or numbering. The process steps that have been named or numbered can change the execution order according to the technical purpose to be achieved, as long as the same or similar technical effects can be achieved.

[0028] The division of modules in this application is a logical division. There may be other division methods when it is implemented in actual applications. For example, multiple modules can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection between modules can be electrical or other similar forms, which are not limited in this application. In addition, the modules or submodules described as separate components may or may not be physically separated, may or may not be physical modules, or may be distributed in multiple circuit modules, and some or all of the modules may be selected according to actual needs to achieve the purpose of the present application.

[0029] First, see Figure 1 The system architecture diagram of the full cycle management system of surgical patients based on ERAS is shown in FIG. Figure 1It can be clearly seen that the ERAS-based surgical patient full-cycle management system provided by the present application specifically includes six functional modules: (1) patient data management module, (2) intelligent assessment and decision-making module, (3) intraoperative real-time monitoring module, (4) postoperative rehabilitation management module, (5) discharge follow-up module and (6) quality control module. Through the coordination between these six functional modules, the full-cycle management goal of surgical patients based on ERAS in the present application is achieved.

[0030] Among them, the above-mentioned functional modules involved in the ERAS-based surgical patient full-cycle management system of the present application can be deployed on the same device or on different devices in actual applications, which is related to the specific system deployment plan of the ERAS-based surgical patient full-cycle management system of the present application under actual circumstances.

[0031] Specifically, the ERAS-based surgical patient full-cycle management system of the present application can be deployed on different processing devices such as servers or physical hosts, or on a device cluster composed of different processing devices such as servers, physical hosts or even user equipment (UE). The device cluster can be composed of a group of devices of the same type or of different types. The UE can specifically be different types of terminal devices such as smart phones, tablet computers, all-in-one computers, personal digital assistants (PDAs) or smart bracelets.

[0032] Since the types of equipment and deployment forms of equipment involved in the ERAS-based surgical patient full-cycle management system in this application can be flexibly configured according to actual needs, the deployment of the above-mentioned functional modules involved in the ERAS-based surgical patient full-cycle management system is obviously also more flexible and can be adjusted according to actual conditions.

[0033] In addition, in addition to the six modules listed above, the ERAS-based surgical patient full-cycle management system of the present application may also involve other functional modules in its actual application, such as a power supply module that can provide power for the normal operation of the system, and other functional modules that superimpose new system business functions. These are all possible in actual situations. Considering that these contents are not the focus of the present application, the specific description will not be elaborated here.

[0034] Next, the six functional modules involved in the above-mentioned ERAS-based surgical patient full-cycle management system of this application will be further explained in combination with their work content.

[0035] (1) Patient data management module

[0036] The patient data management module is used to match the different surgical patients included in the hospital through the pre-configured in-hospital standardized ERAS clinical pathway library based on different clinical specialties involved in different diseases and application scenarios. The intelligent assessment and decision-making module, intraoperative real-time monitoring module, postoperative rehabilitation management module, discharge follow-up module and quality control module are based on the different in-hospital standardized ERAS clinical pathways matched with different surgical patients, and perform adaptive segmentation processing based on the corresponding patient data.

[0037] It can be noted that the present application specifically configures or designs an in-hospital standardized ERAS clinical pathway library, which contains different in-hospital standardized ERAS clinical pathways pre-organized by the present application. These in-hospital standardized ERAS clinical pathways are configured by the present application based on the ERAS concept and combined with the application scenarios.

[0038] Specifically, the present application can determine the types and catalogs of accelerated surgical operations, import them into the system, and the system will automatically include and identify ERAS patients. An ERAS clinical pathway group will be established based on each clinical specialty. Then, with the assistance of computer means and based on evidence-based methods, through the retrieval, evaluation, extraction, and classification of literature, and comparison with guidelines, breakthroughs and improvement points in the clinical diagnosis and treatment of each disease will be found, and improvement measures will be integrated into the entire process of ERAS patient diagnosis and treatment, forming an in-hospital standardized ERAS clinical pathway and establishing a corresponding in-hospital standardized ERAS clinical pathway library.

[0039] In this way, based on the in-hospital standardized ERAS clinical pathway library that is highly adapted to the solution deployment scenario, if the type of disease the surgical patient belongs to is known, the ERAS-based surgical patient full-cycle management system of this application can automatically match the corresponding in-hospital standardized ERAS clinical pathway, and efficiently promote highly targeted full-cycle management and processing.

[0040] It can also be seen here that the patient data management module is linked to the processing of other modules for the in-hospital standardized ERAS clinical pathway matched for the current surgical patients. Specifically, subsequent other modules can achieve personalized and targeted processing based on the matched in-hospital standardized ERAS clinical pathway.

[0041] (2) Intelligent evaluation and decision-making module

[0042] The intelligent assessment and decision-making module is used to generate preoperative assessment indicators, indications, contraindications, risk prevention plans, surgical plans and anesthesia plans, and to provide reminders of abnormal items and potential diseases. The risk prevention plan involves coagulation risks, infection control and nutritional risks, and the surgical plan involves surgical methods and surgical pathways.

[0043] Specifically, for the intelligent assessment and decision-making module, it can automatically generate corresponding preoperative assessment indicators based on patient data including basic information and health status, and clarify the corresponding indications and contraindications through preset determination strategies based on clinical guidelines and other specifications. In addition, it also conducts preoperative coagulation risk assessment and infection control assessment, and promptly generates prevention or intervention measures recommendations, as well as summarizes the patient's nutritional status and provides corresponding nutritional supplement plans to ensure that the patient reaches the best health status before surgery and forms a risk prevention plan.

[0044] At the same time, based on clinical guidelines and historical cases, the corresponding surgical plan can be determined through algorithm models (such as machine learning) according to patient data including medical conditions, anatomical characteristics and surgical types, in order to recommend appropriate surgical methods and surgical pathways.

[0045] At the same time, big data analysis can also be imported to combine patient data including previous anesthesia reactions and complication history to generate an adapted anesthesia plan to ensure comfort and safety during surgery.

[0046] In addition, based on data integration, governance, reasoning and comparison with knowledge rules, the auxiliary diagnosis and treatment system can identify the patient's routine preoperative test items to provide early warning of abnormal items; provide reminders of surgical or anesthesia contraindications in the test results; and provide reminders of potential chronic diseases discovered in preoperative tests.

[0047] (3) Intraoperative real-time monitoring module

[0048] The intraoperative real-time monitoring module is used to monitor vital signs, complications and infection risks in real time during surgery, and provide real-time warnings.

[0049] Specifically, for the intraoperative real-time monitoring module, when the surgical patient enters the intraoperative state, the intraoperative monitoring module can monitor the surgical patient's vital signs including heart rate, blood oxygen saturation and blood pressure in real time. These data can be transmitted to the monitoring platform to achieve real-time early warning. When there are abnormalities in vital signs, it can automatically prompt the on-site or relevant medical staff to intervene in time.

[0050] In addition, the complication prevention and treatment module can also intelligently identify risk factors during surgery based on historical data and existing clinical guidelines, adopt comprehensive measures, propose prevention and treatment plans for complications, and record and analyze the occurrence of postoperative complications.

[0051] In addition, the infection risk control module can also track the basic data of infection in the operating room, strictly implement infection control measures, and automatically remind medical staff to follow relevant operating specifications.

[0052] (4) Postoperative rehabilitation management module

[0053] The postoperative rehabilitation management module is used to adjust the postoperative rehabilitation measures in real time based on the matching rehabilitation measures and the patient's postoperative status and examination and test results, adjust the rehabilitation plan in real time according to the postoperative recovery situation and evaluation results, and record and track the progress of rehabilitation.

[0054] Specifically, for the postoperative rehabilitation management module, after the operation, the postoperative rehabilitation module can provide a rehabilitation template calling interface to match postoperative rehabilitation related measures based on patient data including surgical methods and patient basic information. In addition, relevant rehabilitation measures can be personalized, added, deleted or updated based on postoperative status and examination and test results.

[0055] In addition, the rehabilitation plan generator can also automatically generate a rehabilitation plan based on the postoperative recovery status and evaluation results, set rehabilitation goals and phased tasks, and can also have a user feedback function to help adjust the rehabilitation plan in real time.

[0056] In addition, rehabilitation data tracking can be set up to record and track the patient's rehabilitation progress, including pain scores, mobility, etc.

[0057] (5) Discharge follow-up module

[0058] The discharge follow-up module is used to generate a follow-up plan based on the patient's discharge status, and provide remote monitoring services for patient health data, online consultation services, and health guidance services.

[0059] Specifically, for the discharge follow-up module, it can generate a follow-up plan and automatically generate a follow-up plan (including follow-up time and content) according to the patient's discharge situation.

[0060] At the same time, remote monitoring and feedback can also be carried out, supporting remote monitoring of patients' health data, providing online consultation and health guidance, and regularly generating follow-up reports.

[0061] (6) Quality Control Module

[0062] The quality control module is used to perform quality control management through data visualization settings based on the surgical quality control database that records surgical types, operating specifications and postoperative complications.

[0063] Specifically, for the quality control module, it can establish a surgical quality control database to record information such as surgical type, operating specifications and postoperative complications, and perform statistical analysis.

[0064] At the same time, evaluation indicators and evaluation mechanisms can also be set up to evaluate the effectiveness of ERAS implementation, collect feedback and formulate improvement measures, conduct data statistics, analysis and monitoring through information technology, and use data visualization technology to improve management level and decision-making ability.

[0065] To briefly explain the above solution, we can see that in response to the potential problems that the existing surgical patient management solutions may affect the quality of surgical patient recovery and the efficiency of hospital resource allocation, this application is based on the ERAS concept and creates a full-cycle management system for surgical patients based on ERAS. It also provides a series of specific implementation solutions in various details, so as to intelligently realize the coordinated management of the preoperative, intraoperative and postoperative stages, optimize the patient's postoperative recovery process, improve medical efficiency, optimize the patient's rehabilitation process, reduce hospital operating costs and improve the patient's medical experience, and solve the potential problems in the existing technology that may affect the quality of surgical patient recovery and the efficiency of hospital resource allocation.

[0066] In terms of effects, specifically, there are:

[0067] Improve medical efficiency, through intelligent management and decision support, improve the work efficiency of medical staff and reduce unnecessary medical operations;

[0068] Optimize the patient's rehabilitation process, provide personalized rehabilitation plans and real-time monitoring, shorten the patient's rehabilitation time, and improve the rehabilitation effect;

[0069] Reduce hospital operating costs, reduce resource waste and errors caused by information isolation and manual operations, and improve the overall operational efficiency of the hospital;

[0070] Improve patients' medical experience and enhance their satisfaction through efficient management and high-quality services.

[0071] Next, we will further explain the optimization solutions that can be adopted in the details of the ERAS-based surgical patient full-cycle management system of this application.

[0072] Refer to a set of examples shown in Table 1 below:

[0073] Table 1 - Example of a list of diseases in the standardized ERAS clinical pathway within the hospital

[0074]

[0075] It can be seen that, as an exemplary embodiment, the standardized ERAS clinical pathway involved in the standardized ERAS clinical pathway library specially designed by this application is specifically configured based on disease types, and different diseases may specifically involve:

[0076] Kidney transplantation, liver transplantation, nephrectomy, pituitary tumor, trigeminal neuralgia, thoracic and lumbar intramedullary tumor, meningioma, cerebellopontine angle tumor, primary hip replacement, primary knee replacement, knee arthroscopy, anterior cervical surgery, posterior cervical surgery, lumbar endoscopic surgery, internal fixation of lower limb fractures, internal fixation of upper limb fractures, breast malignancy, thyroid malignancy, gastric cancer, colon cancer, rectal cancer, metabolic syndrome, perianal disease, inguinal hernia, biliary tumor, bile duct stone, gallbladder stone removal, acute pancreatitis, pancreatic tumor, liver malignancy, hemangioma, liver cyst, gallbladder stone, portal hypertension, lung tumor, pneumothorax, esophageal tumor, chest wall deformity, mediastinal tumor, coronary heart disease, valvular heart disease, type III aortic dissection, congenital heart disease, pulmonary space occupying lesions, hypertrophic obstructive cardiomyopathy, secretion Urinary stones, prostate cancer, bladder tumors, prostatic hyperplasia, bladder cancer, adrenal diseases, kidney cancer, renal cysts, urethral stenosis, ureteral cancer, genitourinary tumors, hydrocele, varicocele, stress urinary incontinence, Hirschsprung's disease / constipation in children, appendicitis, epispadias / hypospadias, hydronephrosis, lower limb fractures, bone tumors, cryptorchidism, torticollis, polydactyly / syndactyly, internal fixation removal after fracture surgery, pelvic fracture, nasal deformity correction, ear deformity correction, hair transplantation, breast disease, liposuction, chronic otitis media, chronic sinusitis, laryngeal cancer, benign vocal cord tumors, pediatric snoring, jaw fractures, benign parotid tumors, oral cancer, cesarean section, ovarian cysts, cervical cancer, cervical adhesions, fallopian tube obstruction, elderly thyroid tumors, elderly urinary stones, elderly prostate surgery, elderly breast tumors and elderly gastrointestinal tumors.

[0077] It can be understood that in the embodiment here, a more specific configuration scheme is provided for the different in-hospital standardized ERAS clinical pathways that may be specifically involved in the actual operation of this application, based on the type of disease or classification, thereby facilitating the deployment and implementation of the scheme in actual application and having better practical significance.

[0078] In addition, based on the previous six modules, the ERAS-based surgical patient full-cycle management system of this application can also realize more intelligent system functions to enhance the achievable full-cycle management effect of surgical patients.

[0079] Specifically, as an exemplary embodiment, for the current surgical patient, pre-hospitalization guidance can also be provided based on the standardized ERAS clinical pathway within the target hospital that matches the current surgical patient.

[0080] It can be understood that in terms of the intelligent matching system, the ERAS-based surgical patient full-cycle management system of the present application can specifically collect the patient data of the current surgical patient through manual entry or automatic pulling by the patient data management module, perform preoperative diagnosis, match ICD-10 disease codes and other related information, and verify whether the current surgical patient is included in the ERAS group. After verification, combined with the matched in-hospital standardized ERAS clinical pathway, pre-hospitalization guidance and other measures are given. In this way, clearer and more convenient reminder services can be provided to the current hospitalized patients in terms of details, further optimizing the medical experience.

[0081] In terms of the ERAS patient identification system, as an exemplary embodiment, the ERAS-based surgical patient full-cycle management system of the present application can also perform ERAS medical order issuance processing and ERAS patient list maintenance processing at the corresponding doctor station, and can perform ERAS patient identification processing at the corresponding inpatient nurse station.

[0082] It can be understood that based on the intelligent assessment and decision support module, for the system service of resident doctors issuing ERAS orders, doctors can issue ERAS-related orders according to the patient's condition to ensure standardization during the implementation process;

[0083] For the ERAS patient list system service of the resident station, a real-time list of ERAS patients can be maintained to facilitate medical staff to view patient information;

[0084] For the ERAS patient identification system service at the inpatient nursing station, ERAS patients can be identified next to / on the patient's bed to remind nursing staff to pay attention to their special management needs.

[0085] In terms of preoperative evaluation, based on the intelligent evaluation and decision support module, for the system service of surgical indications and contraindications evaluation, the judgment rules for indications and contraindications can be set according to clinical guidelines and standards. Subsequently, the patient data can be compared with the judgment rules to determine whether the corresponding surgical indications or contraindications are met / exist, and then an automatic report of indications and contraindications can be generated and notified to relevant medical staff.

[0086] For the system service of various preoperative risk assessments, such as preoperative coagulation risk assessment, infection control assessment, nutritional risk assessment, etc., the patient's relevant examination and test results can be input into the model to calculate the relevant risks. According to the model output, the risk level can be explained and corresponding preventive measures can be recommended.

[0087] Taking nutritional risk screening as an example, it may specifically involve: nutritional risk screening, nutritional assessment, and providing preoperative assessment reports for medical staff to make decisions; if the screening results do not meet the standards, create an electronic prescription corresponding to the patient, which includes several specific intervention measures, whether a multidisciplinary consultation is required, etc.; if the patient's screening results meet the standards, create preoperative information corresponding to the patient, which includes several preoperative work items, and each nursing assessment result is linked to the doctor's medical record writing interface.

[0088] In terms of preoperative education, as an exemplary embodiment, the ERAS-based surgical patient full-cycle management system of the present application can also determine personalized preoperative health education and provide prompts based on the patient data of the current surgical patient. The personalized preoperative health education involves preoperative precautions, surgical procedures, postoperative recovery, complication prevention, dietary adjustment and psychological support.

[0089] Specifically, based on the intelligent assessment and decision support module, personalized health education can be carried out according to patient data including surgery type, test examinations, and risk assessment results, including preoperative precautions, surgical procedures, postoperative recovery, complication prevention, diet adjustment, psychological support, etc. These preoperative education contents and patient conditions are integrated into the system for easy viewing and updating at any time, and an automatic reminder function for preoperative preparations can be set to ensure that patients complete various preparations on time, such as fasting and medication (preoperative precautions), etc.

[0090] In terms of preoperative preparation, as an exemplary embodiment, the ERAS-based surgical patient full-cycle management system of the present application can also formulate a personalized preoperative preparation plan based on the patient data of the current surgical patient to obtain a corresponding preparation list and schedule, and automatically remind based on the preparation list and schedule, and track the preparation progress in real time.

[0091] Specifically, based on the intelligent assessment and decision support module, a personalized preoperative preparation plan including fasting, medication, exercise, etc. can be formulated according to the patient's specific circumstances and surgical types. The preoperative preparation information can be entered into the system to automatically generate a corresponding, personalized preparation list and schedule. At this time, the system's automatic reminder function can be used to regularly notify the patient of preoperative preparation matters and time nodes, such as the start time of fasting, medication adjustments, etc., and the patient's preparation progress can be tracked in real time to ensure that all preparations are completed as planned.

[0092] In terms of intraoperative management, as an exemplary embodiment, the ERAS-based surgical patient full-cycle management system of the present application can also generate real-time warning results including specific warning content and specific response measures based on the real-time monitoring results of vital signs, complications and infection risks during surgery, so as to provide real-time warning.

[0093] Specifically, based on the intraoperative real-time monitoring module, the vital signs of surgical patients such as heart rate, blood oxygen saturation and blood pressure can be monitored in real time. The data is transmitted to the central monitoring platform. The system can monitor abnormal conditions in vital signs in real time and automatically issue alarms to remind medical staff to make necessary interventions and adjustments as soon as possible. It can also use historical surgical data and the latest clinical guidelines to intelligently identify risk factors that may arise during the operation. After comprehensive analysis, the system provides corresponding complication prevention and treatment plans, and records and analyzes the occurrence of postoperative complications to optimize future surgical plans. It can also monitor infection risk data in the operating room, including environmental hygiene and disinfection status, to promote strict compliance with infection control standards, and automatically remind medical staff to take corresponding protective measures to ensure the safety and hygiene of the surgical environment.

[0094] In terms of postoperative management, for the postoperative rehabilitation management module, during the process of pushing the postoperative task list, the postoperative node task list is embedded in the clinical pathway of the postoperative rehabilitation template of each disease, and the task is specified. Then the system can push the task to the doctor station, nurse station and the surgical patient's mobile phone to remind the patient of the task. The completion status of subsequent tasks can be recorded by checking the box. The nurse station and doctor station provide an overview of the ERAS patient task list completion status to check the completion progress and the reasons for non-completion.

[0095] Further, as an exemplary embodiment, the rehabilitation program may specifically involve an analgesic program, a nausea and vomiting prevention program, a tube management program, and a dietary management program.

[0096] Regarding the analgesia plan, this application can monitor the patient's pain level in real time, and automatically recommend or adjust an appropriate analgesia plan based on the real-time monitoring results, and can specifically follow the principles of multimodal analgesia, including opioids, NSAIDs, local infiltration anesthesia of incisions, intrathecal analgesia, nerve blocks, etc. The system can automatically adjust the drug dosage and type according to the postoperative pain assessment results, the formulation and adjustment of automated and dynamically adjusted multimodal analgesia plans, and the intelligent pain monitoring and feedback mechanism will help improve the analgesic effect, ensure that hospitalized patients can recover smoothly after surgery, and provide a better medical experience.

[0097] For the prevention of nausea and vomiting, this application can assess the risk of postoperative nausea and vomiting by collecting patient data including personal information (such as age, gender, smoking history, etc.) and postoperative medication use, and then intelligently recommend and adjust appropriate preventive drugs, such as 5-HT3 receptor antagonists and dexamethasone, etc. This will help avoid or alleviate the feeling of nausea and vomiting, ensure that hospitalized patients can recover smoothly after surgery, and provide a better medical experience.

[0098] For the pipeline management plan, this application can make independent decisions on whether to place or retain nasogastric tubes, drainage tubes, and urinary catheters based on patient data including surgery type and patient condition, and independently decide on the retention time and removal time of the pipelines based on real-time monitoring results of postoperative recovery. In this way, the retained pipelines can be precisely controlled to ensure that hospitalized patients can recover smoothly after surgery and provide a better medical experience.

[0099] Regarding the dietary management plan, this application can monitor the postoperative recovery status including drinking water, eating time and supplementary nutrition in real time, automatically adjust the dietary plan, promote the recovery of intestinal function, ensure that hospitalized patients can recover smoothly after surgery, and provide a better medical experience.

[0100] It should be noted that for the embodiments herein, in specific operations, in addition to using a mapping table to immediately / dynamically replace a new rehabilitation plan (involving analgesia plan, nausea and vomiting prevention plan, pipeline management plan, and diet management plan) that is adapted to the corresponding current patient data, corresponding prediction models (which may involve models of types such as LSTM) can also be used to predict the corresponding rehabilitation situation (reflected by the corresponding patient data) based on historical patient data and real-time patient data, and based on the prediction results, make more accurate and smoother adjustments to the rehabilitation plan to avoid frequent adjustments to the plan that may cause discomfort and insecurity to hospitalized patients, and further ensure the medical experience in details.

[0101] At the same time, we can also refer to different situations that may arise in actual situations and add one or more random disturbance factors in the prediction process to carry out prediction processing that can take into account special situations / unexpected situations, thereby promoting a smoother and more delicate adjustment effect of the rehabilitation plan.

[0102] Alternatively, when formulating rehabilitation plans in different aspects at the same time, we can also refer to the mutual influences between the different rehabilitation plans, so that we can search for more suitable and comprehensive rehabilitation plans as a whole. This can also further guarantee the medical experience of inpatients from a holistic level.

[0103] In terms of discharge follow-up, as an exemplary embodiment, the follow-up plan involved in the discharge follow-up module may specifically involve follow-up tasks within 24 hours, 7 days and one month after discharge, and remind and record different follow-up tasks in the form of a follow-up list.

[0104] It can be understood that the system can embed a structured discharge follow-up form to set the above follow-up tasks, and can also automatically push relevant discharge guidance content based on follow-up issues. At the same time, in terms of information reminders and task management, you can set up an ERAS patient discharge follow-up list, ERAS patient discharge follow-up tasks, and a daily list of patients to be followed up. You can check the follow-up progress, completion status, and major issues at different nodes to ensure that the discharge follow-up is completed and recorded within the specified time. After the follow-up is submitted, the system can automatically send a message reminder to the hospitalized patient's mobile phone, reminding him or her to complete the follow-up form and inform him or her of the next follow-up time.

[0105] In terms of quality control, as an exemplary embodiment, for the quality control module, its quality control management processing may specifically involve ERAS clinical pathway quality control indicators including ERAS measure implementation rate, average length of stay, and hospitalization costs.

[0106] Specifically, the system can integrate patient data from electronic medical record systems, surgical record systems and other related systems to form a comprehensive quality control database. At the same time, it can formulate ERAS clinical pathway quality control indicators including ERAS measure implementation rate, average length of stay, hospitalization costs, etc., and use the automated statistical tools in the database in combination with these indicators to regularly generate statistical data for various quality control indicators. Use data mining technology to analyze the big data in the database, identify key factors affecting surgical quality, and identify existing problems and deficiencies based on feedback and data analysis results. In this way, better quality control management effects can be achieved through data visualization settings.

[0107] The ERAS-based surgical patient full-cycle management system provided by the present application is introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the core idea of ​​the present application. At the same time, for technical personnel in this field, according to the idea of ​​the present application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A full-cycle management system for surgical patients based on ERAS, characterized in that: The ERAS-based surgical patient full-cycle management system includes a patient data management module, an intelligent assessment and decision-making module, an intraoperative real-time monitoring module, a postoperative rehabilitation management module, a discharge follow-up module, and a quality control module; The patient data management module is used to match different surgical patients with the in-hospital standardized ERAS clinical pathway library pre-configured based on different clinical specialties involved in different diseases and application scenarios. The intelligent assessment and decision-making module, the intraoperative real-time monitoring module, the postoperative rehabilitation management module, the discharge follow-up module and the quality control module are based on the different in-hospital standardized ERAS clinical pathways matched with different surgical patients, and perform adaptive segmentation processing on the basis of corresponding patient data; The intelligent assessment and decision-making module is used to generate preoperative assessment indicators, indications, contraindications, risk prevention plans, surgical plans and anesthesia plans, and to provide reminders of abnormal items and potential diseases. The risk prevention plan involves coagulation risk, infection control and nutritional risk, and the surgical plan involves surgical methods and surgical pathways; The intraoperative real-time monitoring module is used to monitor vital signs, complications and infection risks in real time during surgery, and to provide real-time warnings; The postoperative rehabilitation management module is used to adjust the postoperative rehabilitation measures in real time based on the matched rehabilitation measures and in combination with the patient's postoperative status and examination and test results, adjust the rehabilitation plan in real time according to the postoperative recovery situation and evaluation results, and record and track the rehabilitation progress; The discharge follow-up module is used to generate a follow-up plan based on the patient's discharge situation, and provide patient health data remote monitoring services, online consultation services and health guidance services; The quality control module is used to perform quality control management processing through data visualization settings based on a surgery quality control database that records surgery types, operating specifications and postoperative complications.

2. The ERAS-based surgical patient full-cycle management system according to claim 1, characterized in that: The in-hospital standardized ERAS clinical pathway library is configured based on disease types, and different diseases are specifically involved: Kidney transplantation, liver transplantation, nephrectomy, pituitary tumor, trigeminal neuralgia, thoracic and lumbar intramedullary tumor, meningioma, cerebellopontine angle tumor, primary hip replacement, primary knee replacement, knee arthroscopy, anterior cervical surgery, posterior cervical surgery, lumbar endoscopic surgery, internal fixation of lower limb fractures, internal fixation of upper limb fractures, breast malignancy, thyroid malignancy, gastric cancer, colon cancer, rectal cancer, metabolic syndrome, perianal disease, inguinal hernia, biliary tumor, bile duct stone, gallbladder stone removal, acute pancreatitis, pancreatic tumor, liver malignancy, hemangioma, liver cyst, gallbladder stone, portal hypertension, lung tumor, pneumothorax, esophageal tumor, chest wall deformity, mediastinal tumor, coronary heart disease, valvular heart disease, type III aortic dissection, congenital heart disease, pulmonary space occupying lesions, hypertrophic obstructive cardiomyopathy, secretion Urinary stones, prostate cancer, bladder tumors, prostatic hyperplasia, bladder cancer, adrenal diseases, kidney cancer, renal cysts, urethral stenosis, ureteral cancer, genitourinary tumors, hydrocele, varicocele, stress urinary incontinence, Hirschsprung's disease / constipation in children, appendicitis, epispadias / hypospadias, hydronephrosis, lower limb fractures, bone tumors, cryptorchidism, torticollis, polydactyly / syndactyly, internal fixation removal after fracture surgery, pelvic fracture, nasal deformity correction, ear deformity correction, hair transplantation, breast disease, liposuction, chronic otitis media, chronic sinusitis, laryngeal cancer, benign vocal cord tumors, pediatric snoring, jaw fractures, benign parotid tumors, oral cancer, cesarean section, ovarian cysts, cervical cancer, cervical adhesions, fallopian tube obstruction, elderly thyroid tumors, elderly urinary stones, elderly prostate surgery, elderly breast tumors and elderly gastrointestinal tumors.

3. The ERAS-based surgical patient full-cycle management system according to claim 1, characterized in that: For the current surgical patient, the ERAS-based surgical patient full-cycle management system provides pre-hospitalization guidance based on the standardized ERAS clinical pathway within the target hospital matched with the current surgical patient.

4. The ERAS-based surgical patient full-cycle management system according to claim 1, characterized in that: The ERAS-based surgical patient full-cycle management system performs ERAS medical order issuance processing and ERAS patient list maintenance processing at the corresponding doctor station, and performs ERAS patient identification processing at the corresponding inpatient nurse station.

5. The ERAS-based surgical patient full-cycle management system according to claim 1, characterized in that: The ERAS-based surgical patient full-cycle management system determines personalized preoperative health education and provides prompts based on the patient data of the current surgical patient. The personalized preoperative health education involves preoperative precautions, surgical procedures, postoperative recovery, complication prevention, dietary adjustment and psychological support.

6. The ERAS-based surgical patient full-cycle management system according to claim 1, characterized in that: The ERAS-based surgical patient full-cycle management system develops a personalized preoperative preparation plan based on the patient data of the current surgical patient to obtain a corresponding preparation list and schedule, and automatically reminds based on the preparation list and the schedule, and tracks the preparation progress in real time.

7. The ERAS-based surgical patient full-cycle management system according to claim 1, characterized in that: During the operation, the ERAS-based surgical patient full-cycle management system generates a real-time warning result including specific warning content and specific response measures based on the real-time monitoring results of the vital signs, the complications and the infection risks, so as to provide real-time warning.

8. The ERAS-based surgical patient full-cycle management system according to claim 1, characterized in that: The rehabilitation program specifically involves an analgesic program, a nausea and vomiting prevention program, a tube management program, and a dietary management program.

9. The ERAS-based surgical patient full-cycle management system according to claim 1, characterized in that: The follow-up plan specifically involves follow-up tasks within 24 hours, 7 days and one month after discharge, and reminds and records different follow-up tasks in the form of a follow-up list.

10. The ERAS-based surgical patient full-cycle management system according to claim 1, characterized in that: The quality control management process specifically involves ERAS clinical pathway quality control indicators including ERAS measure implementation rate, average length of stay, and hospitalization costs.

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