46 results about "Patient follow up" patented technology

The invention discloses a patient follow-up visiting system based on a WeChat official account and belongs to the technical field of electronic information-oriented management. The system comprises multiple patient terminals, multiple doctor terminal, a hospital management platform, and an information interaction module, wherein the multiple patient terminals are used to let patients access the WeChat official account, browse follow-up visiting information and ask questions in a message leaving column on the bottom of the follow-up visiting information page; the multiple doctor terminals are used to let doctors access the WeChat official account and make immediate responses to the questions; and the hospital management platform conducts information interactions with the WeChat official account. The platform comprises an information push module and an information interaction module, wherein the information push module is used to push follow-up visiting information to the WeChat official account; and the information interaction module is used to receive the questions and send the questions and WeChat accounts of the patients related to the questions to the corresponding doctor terminals via the WeChat official account. The technical scheme has the beneficial effects that health propaganda and education knowledge can be pushed to the WeChat official account; the patients can browse the knowledge automatically and can make online immediate communications with the doctors via the WeChat platform; and real-time, efficiency and convenient follow-up visiting services can be provided to the patients.

The invention discloses an intelligent diagnosis and treatment assistant analysis system for chronic non-communicable diseases. The system comprises a client terminal configured to a patient and a doctor terminal configured to a doctor; the client terminal is in communicating connection with a master control server; the doctor terminal is in communicating connection with the master control server; the master control server is in communicating connection with an electronic medical record system, an LIS and a PACS of a medical institution; the master control server comprises an automatic data collection module, an automatic data matching and comparison module, an automatic clinical analysis module, an automatic medicine screening module, an automatic retrieval and pushing module and a data management module. The defects that a technological means for performing automatic capture on patient data, a technology for performing feature capture on relevant data according to different disease types, a technology for performing automatic assistant analysis on the patient data, clinical scientific research and patient follow-up visit through big data analysis and improvement in intelligent diagnosis and treatment accuracy of chronic diseases through machine learning are not available in the prior art are effectively overcome.

An embodiment in accordance with the present invention provides a thermo-chemoembolization formulation and method for enhanced interventional image-guided therapy for cancer. The T-C formulation includes magnetic iron oxide nano-particles (MIONs) that heat when exposed to an alternating magnetic field (AMF), a liquid tumorphilic drug carrier that enhances tumor retention of the T-C formulation, and a chemotherapeutic or radiotherapeutic agent. The T-C formulation enhances delivery of heat and chemo- or radio-therapeutic agents with hyperthermia produced by magnetic nanoparticles to improve therapeutic outcomes. The magnetic nanoparticles and tumorphilic drug carrier also allow for multimodal image-guided monitoring of treatment and patient follow-up. The method for enhanced interventional image-guided therapy for cancer includes using an AMF to heat the T-C formulation and activate the thermotherapy.

The invention belongs to the technical field of medical information processing, and discloses a patient follow-up visit reminding cycle self-adaptive adjustment method. The method comprises the steps of 1, collecting patient follow-up visit data, 2, establishing a patient follow-up visit system, and 3, updating data of a follow-up visit management system. According to the method, by taking a multidimensional longitudinal detection index as an input, and taking a survival quality score as an output, a variable coefficient model is established, the survival quality score is forecasted, a follow-up visit cycle is adjusted correspondingly according to a changing situation of the survival quality score, and the time of a follow-up visit of a patient is output finally. Compared with the scheme only using single time diagnosis and treatment data, the method can use cross correlation between the follow-up visit data better for forecasting the follow-up visit time of the patient, provides diagnosis and treatment assistance for a doctor, can dynamically adjust the follow-up visit scheme through a self-adaptive algorithm according to a development situation of an illness state of the patient, lowers the unnecessary medical treatment cost, and can provide services such as illness state tracking for the patient and the doctor.

This invention provides, inter alia, a complement-inhibitor-based treatment plan coupled with a risk evaluation and management strategy (“REMS”) and a safety support program (“SSP”) for reinforcing the REMS. The REMS and SPP are implemented using one or more computer devices with software tools programmed to enforce conditions of the REMS and/or prompt follow-ups by registered nurses enrolled in the SSP. The software tool(s) determines whether a prescriber requesting the complement inhibitor has agreed to abide by the REMS, and can prompt a provider of the complement inhibitor to provide updated educational materials to the prescriber at predetermined times or intervals, to monitor the prescriber for compliance with the REMS, and/or to monitor patients for signs of adverse events. Using exemplary embodiments described herein, a risk of adverse events (especially, but not limited to, meningococcal infections) can be managed and an incidence of the adverse events can be reduced.

The invention discloses an osteoporosis remote community health management system, which comprises community resident osteoporosis files and a data mining function. The osteoporosis remote community health management system specifically comprises a system user module, a data entry module, a data query module, an on-line analysis module and a data maintenance module, which are associated with one another. By cooperation of a general hospital, a community health service center, a software engineer and a health administrative department, an extensible and high-efficiency web-based data warehouse is constructed, decision basis and support are provided for a health administrator, resident health information and computer-aided diagnosis and therapy on osteoporosis are provided for the community health service center, and patient follow-up data, a large amount of original scientific research data and functions of real-time health statistics and the like are provided for an osteoporosis specialist.

The invention discloses a chronic disease follow-up visit supervision method and device based on artificial intelligence and computer equipment, relates to the technical field of artificial intelligence, and can solve the technical problems of low supervision intelligence and poor supervision effect caused by the fact that a doctor needs to manually formulate a follow-up visit strategy in a current chronic disease follow-up visit supervision mode based on artificial intelligence. The method comprises the following steps: collecting patient pathology data of a target patient according to a preset time period, wherein the patient pathology data comprise patient identity data and patient follow-up visit data; extracting pathological features of the follow-up visit data of the patient by using a pathological knowledge graph; inputting the pathological features into a chronic disease risk prediction model, and determining a chronic disease risk prediction result of the target patient through the chronic disease risk prediction model, wherein the chronic disease risk prediction model is obtained through training based on an extreme gradient lifting algorithm; and determining a target follow-up visit supervision strategy matched with the patient identity data and the chronic disease risk prediction result based on a user portrait technology, and executing follow-up visit supervision processing on the target patient according to the target follow-up visit supervision strategy.

The application discloses a medical follow-up visit method, device and system. The medical follow-up visit method comprises the following steps: acquiring patient condition information sent by a doctor terminal; obtaining a follow-up visit plan template corresponding to the illness state information of the patient; updating the patient condition information to the follow-up visit plan template togenerate a follow-up visit plan to be added, the follow-up visit plan at least comprising patient information, patient condition information and patient follow-up visit task information; obtaining a follow-up visit schedule corresponding to the patient information; updating the follow-up visit schedule corresponding to the patient information according to the to-be-added follow-up visit plan; andfeeding back information to the patient side according to the time arrangement of the follow-up task in the follow-up plan table. The technical problem that errors are generated when follow-up visit data are collected when follow-up visit tasks are complex and diverse is solved.

A computer system and method is disclosed that aids a user in automatically generating patient documentation. Users, such as physicians, can access the system over a network. Upon a user navigating a flow chart to diagnose and/or manage a patient's condition, textual or other documentation of the path taken through the flow chart is automatically generated. Actions in the same or other systems can also be performed automatically based on the path taken through the flow chart, such as launching a scheduling system for scheduling a patient follow-up visit, automatically placing an order for a test, automatically scheduling a task on to a medical worker's task list, automatically generating a referral letter, or automatically generating patient educational material from a template, as a few examples. If an action on the flow chart requires additional information, a separate window can be opened to allow the user to enter the additional information.

The embodiment of the invention provides a heart signal integrated intelligent acquisition sensing system terminal, a method and a cloud control platform. The heart signal integrated intelligent acquisition sensing system terminal comprises a heart sound and electrocardio integrated wireless sensing device, a handheld intelligent signal analysis terminal, an HHT signal analysis module, a health management and service APP and a cloud big data control center network platform; the integrated sensing device comprises a sensor, a communication module, a preprocessor and a power supply; the handheldterminal comprises a displayer, a signal analyzer, a memorizer, a communication module and the like; the HHT analysis module uses a novel HHT algorithm to analyze a transient heart signal, constructa three-dimensional feature analysis model, and realize signal quantitative feature extraction; archive management, one-key positioning rescue, signal display, wireless communication and medical guidance are set in the health management and service APP, and the health management and service APP is compatible with a common mobile terminal equipment system; and the cloud control platform is wirelessly connected with the mobile terminal APP and the handheld terminal, and has the functions of database construction, early warning rescue, patient follow-up visit and deep learning.

The invention provides a hierarchical diagnosis-and-treatment information platform based on a chronic obstructive pulmonary disease and a diagnosis-and-treatment method. The hierarchical diagnosis-and-treatment information platform comprises a chronic obstructive pulmonary disease patient screening scoring module, a chronic obstructive pulmonary disease patient blocking module, a chronic obstructive pulmonary disease patient evaluating module, a chronic obstructive pulmonary disease patient treatment module, a chronic obstructive pulmonary disease patient follow-up surveying plan automatic generating module, a bidirectional transfer diagnosis module and a general practitioner further education module. According to the hierarchical diagnosis-and-treatment information platform based on the chronic obstructive pulmonary disease and the diagnosis-and-treatment method, indexes related with diagnosis and evaluation can be effectively integrated and are displayed to the general practitioner;and then according to a standard disease diagnosis-and-treatment flow supplied by the hierarchical diagnosis-and-treatment information platform, the general practitioner can finish standard diagnosis-and-treatment of the chronic obstructive pulmonary disease patient, thereby uploading related data of the patient in a treatment period, realizing real-time dynamic understanding of the condition change of the patient, dynamically evaluating the treatment condition of the patient and supplying personalized standard treatment to the chronic obstructive pulmonary disease patient.

The embodiment of the invention provides a data processing method and device for special disease follow-up visits. The method and device are applied to a follow-up visit management system, the follow-up visit management system is provided with a patient client and a department client, and the follow-up visit management system is in communication connection with a hospital information system. The method comprises the following steps of: acquiring target medical data for a patient with a special disease through the hospital information system; according to the target medical data, generating follow-up visit push information for the patient with the special disease, and sending the follow-up push information to the patient client; receiving patient follow-up visit information for the follow-up visit push information returned by the patient client; generating follow-up visit processing information according to the follow-up visit information of the patient, and sending the follow-up visit processing information to the department client; and receiving processing result information for the follow-up visit processing information returned by the department client, and feeding back the processing result information to the patient with the special disease. Through the data processing method and device for the special disease follow-up visits of the embodiment of the invention, personalized follow-up visit plan and content can be generated for a patient group with a single special disease, and the content accuracy of the follow-up visits and the working efficiency of the follow-up visits are improved.

The invention discloses an information management method and device, an Internet of Things terminal, and a computer-readable storage medium. The method comprises the steps that user medical information from an external server is acquired; medical prompt information is generated based on the user medical information; first speech information corresponding to the medical prompt information is published; second speech information for the first speech information is collected; the second speech information is converted into medical feedback information according to a predetermined semantic analysis rule; and the medical feedback information is sent to the external server. Through the technical scheme of the invention, manual follow-ups and telephone follow-ups are replaced by the way of speech release of the Internet of Things, which improves the instantaneity of patient follow-ups, and broadens the actual range of acceptable patient follow-ups. Follow-up failures caused by patients' inability to receive manual or telephone follow-ups in a timely manner are reduced.

The invention discloses a method and device for identifying hypertensive drug treatment price sensitivity. The method comprises the following steps: obtaining patient characteristic data and diagnosing patient characteristic data as primary hypertension through ICD-10, cleaning and desensitizing the characteristic data, and constructing a research queue; establishing a structured analysis data setby combining the research queue with patient follow-up visit data; taking patient cost input and blood pressure control as response targets, analyzing coupling and mapping relations of characteristicparameters of different research queues, and forming a price sensitivity calculation model; and generating a price sensitivity identification axis diagram, calibrating a working scale axis for each patient characteristic parameter, and performing numerical identification and cumulative conversion on the characteristic parameters through the working scale axis to obtain price sensitivity of different patients. The defect that an existing price sensitivity identification method depends on clinical experience is overcome, the price perception difference of multiple drug treatment schemes of a patient can be effectively solved, and reliable reference data is provided for formulating a reasonable drug use scheme for hypertension.

The invention discloses a kidney disease follow-up visit system. The system comprises a server used for storing and processing user data, and a client which is in communication connection with the server and displays acquired patient data. The client comprises a disease display unit used for displaying a disease list and to-be-archived cases, a diagnosis display unit used for displaying a disease diagnosis result, an information display unit used for displaying patient information and acquiring a user instruction to edit the patient information, a follow-up visit information display unit used for displaying patient follow-up visit information, and a data display unit used for displaying the display units in a list form. The system is relatively professional and perfect in disease diagnosis classification, and conforms to medical logic; and the process design pays attention to practicality and high efficiency, the steps are simple, and the operation is easy and conforms to operation habits of doctors and users, so that the follow-up visit management can be effectively standardized and the follow-up visit efficiency can be improved.

The invention discloses a patient follow-up visit data collection method , system and terminal and a data collection integrated system. The method comprises the steps of enabling acquired patient authentication information to be matched with pre-stored concerned patient information; if matching is successful, pushing the established links of one or more follow-up visit forms, so that a patient corresponding to the patient information fills in form data corresponding to the follow-up visit forms; and backfilling the received form data to the follow-up visit forms of the corresponding researchedpatient information, and performing storing. The forms needing to be collected in a hospital can be pushed to a patient, after the patient fills in the forms, data can directly return to project forms in the hospital, the situation that the patient cannot clearly remember the real situation or scientific research personnel cannot collect the data in time due to too long time, is avoided. Besides,high workload and errors caused by manual filling of research forms by the research personnel are avoided, the research cost is greatly saved, and the research efficiency is improved.

The invention discloses a medical examination report identification method, which comprises the steps of firstly receiving an uploaded medical examination report picture, then calling optical image identification software to extract detection data in the medical examination report picture, and finally converting the detection data into an electronic report according to a preset rule. The whole process does not need human intervention, and the medical examination report generated in the follow-up visit process of the patient can be digitally stored. Detection data in medical examination reportpictures are extracted in an optical image recognition mode, the method is universal for the medical examination report pictures of different formats, preset rules are set according to requirements, and the collected detection data can be stored in a standardized electronic report mode. Therefore, the scheme provided by the invention not only has universality, but also greatly reduces manual intervention, improves the efficiency and accuracy of medical examination data collection, and saves manpower. The invention further discloses an apparatus and device for identifying the medical examination report and a storage medium, which have the above beneficial effects.

The invention belongs to the field of medical science detection, and especially relates to a kit for detecting versican V1mRNA in urine, and an application thereof. The urine of a patient is collected, and the versican V1mRNA level of urinary sediment is determined. A result shows that the versican V1mRNA level of the urinary sediment of an FSGS patient is significantly increased, and the versicanV1mRNA level of the urinary sediment of a minimal change disease (MCD) patient has no change; and the versican V1mRNA level of the urinary sediment of the FSGS patient is associated with the tubulointerstitial fibrosis score of the patient, and is significantly associated with the decline rate of eGFR during patient follow-up, so the expression level of the versican V1mRNA in urine can be used for the prognostic diagnosis of the FSGS patient. A reagent for detecting the versican V1mRNA expression level of urine can be used to prepare a detection reagent or the detection kit in order to realize the non-invasive diagnosis of the FSGS prognosis.

A system and method for delivering patient information and clinical assistance. Information and related digest reports are delivered at a point in the care team workflow prior to patient arrival. Information is extracted from scheduling data and electronic health record information. Digest reports are generated by the inventive system on a daily or other customizable basis, and profile upcoming patients scheduled to be seen by a healthcare team or team member. Patient information compiled and delivered by the inventive system may include historical data and ongoing patient condition and complaints stored electronically outside of the inventive system. Clinical assistance compiled and delivered to the user may include published clinical guidelines and other clinical recommendations. The system and method of its use have the capacity to aid in the user's adherence to governmental criteria, and in the attainment of value based care goals. These goals may include care coordination, test-tracking, patient follow-up, and other clinical decision support needs that are currently not automated in an efficient manner. Health care providers may save time and money with the system, and are able to to manage an ever increasing burden of patient information more accurately effectively to treat their patients. Customizations of digest reports including specific types of information and data may be generated to accommodate individual healthcare practice group needs as well as value-based care models.