Patient decision support system and operating method based on self-care algorithms that evaluate patient activity for patients diagnosed with liver cirrhosis

Abstract

The invention relates to a patient decision support system and operating method based on self-care algorithms that evaluate patient activity for patients diagnosed with liver cirrhosis, which is intended to monitor and manage patients' health conditions, provides regular data tracking and personalised recommendations, tracks patients' daily and weekly activities, medication use, diet, and exercise routines, collects and evaluates the data, and presents user-specific recommendations, and which uses artificial intelligence and care algorithms to determine, on the basis of the patient's health data, which treatment and care pathways are the most appropriate.

Description

[0001] PATIENT DECISION SUPPORT SYSTEM AND OPERATING METHOD BASED ON SELF-CARE ALGORITHMS THAT EVALUATE PATIENT ACTIVITY FOR PATIENTS DIAGNOSED WITH LIVER CIRRHOSIS

[0002] Technical field:

[0003] The invention is a personal mobile health application intended to monitor and manage patients’ health conditions, providing personalised health recommendations in line with regular health data monitoring and health data, aiming to ensure patients’ active participation in daily and weekly health practices, contributing to the regular use of medications and the maintenance of diet and exercise, and offering user-specific recommendations through a patient decision support system based on self-care algorithms that evaluate patient activity, by evaluating data by means of artificial intelligence and machine learning in line with real health data obtained instantly.

[0004] State of the art:

[0005] Liver cirrhosis is the final stage of chronic liver disease and may significantly affect quality of life by causing permanent damage to liver functions. If this disease is left untreated, life-threatening complications arise and these complications result in fatal outcomes. In particular, the management of health outside the hospital environment for patients diagnosed with liver cirrhosis requires a multidisciplinary approach, and the effectiveness of patient care largely depends on the patient’s self-care and on patients being continuously monitored. In recent years, the development of telehealth and digital health technologies has provided new opportunities to improve the monitoring and treatment of these patients. Telehealth systems enable patients to be regularly monitored and allow difficulties encountered during the treatment process to be detected at an early stage.

[0006] Patients’ self-care activities play an important role in the management of chronic diseases such as liver cirrhosis. Self-care comprises the patient making informed decisions regarding their own health and implementing the necessary treatment steps. In patients with liver cirrhosis, this particularly covers areas such as fluid intake, dietaryregulation, adherence to medication use, and recognition of early signs of complications, such as abdominal distension and bleeding. In order for these self-care practices to be carried out, patients must actively participate in these practices. In this context, it is considered that the development of self-care algorithms aimed at ensuring patients’ active participation in self-care practices may enable patients to be more effective in managing their own health. Self-care algorithms comprise processes such as monitoring the daily practices that patients must perform for health management and evaluating the health data obtained from these practices.

[0007] Patient decision support systems for patients diagnosed with liver cirrhosis provide support regarding the practices that need to be carried out in line with the health condition. Decision support systems reduce error rates in the treatment process and increase adherence to treatment by recommending customised treatment plans according to patients’ clinical conditions. In addition, these systems expand opportunities for remote patient monitoring and care management by enabling integration with telehealth platforms. In this way, patients’ adherence to treatment and health conditions are monitored more continuously and effectively. Health data obtained through care algorithms are evaluated by patient decision support systems to provide recommendations regarding patients’ health conditions.

[0008] Patient decision support systems that perform evaluations in line with real and timely obtained health data have become an important tool in the management of complex diseases such as liver cirrhosis, which need to be managed by individuals outside the hospital environment through self-care practices. These systems facilitate the timely, remote, and continuous monitoring of patients by means of personalised health data. In this way, patients and healthcare professionals are able to guide the treatment and care process in a more personalised manner and to ensure early detection of potential complications.

[0009] The use of self-care algorithms based on patient activity and patient decision support systems in the care of patients diagnosed with liver cirrhosis has the potential to improve treatment processes and increase patients’ quality of life. The integration of telehealth technologies stands out as an important tool for monitoring patients’ health conditions and ensuring adherence to treatment. Developments in this field contribute to more effective management of chronic diseases such as liver cirrhosis and to improving the quality of patient care.It is observed that, in applications related to delivering care algorithms to patients through mobile health applications in mobile application markets, the focus is generally on educational content related to a specific subject, such as nutrition or medication, that there is no comprehensive educational content directed towards liver cirrhosis, that there is no content aimed at increasing patients’ active participation in self-care practices, and that such applications are insufficient in matters such as providing feedback aimed at evaluating patient outcomes. It is considered that applications with broader content are unable to meet people’s needs due to being available in different languages.

[0010] Although various recommendations and applications have been developed in the state of the art for patient decision support systems for patients diagnosed with liver cirrhosis, these developments are not sufficient. Some applications related to inventions developed for this purpose are presented below.

[0011] The patent application numbered TR201613166A1 in the state of the art relates to the use of Lipoxin A4 (LX A4) in the treatment of liver fibrosis. Liver fibrosis is a serious disease characterised by the transformation of healthy liver tissue into scar tissue, and effective strategies are required for its treatment. Lipoxin A4 is a molecule present in the body that has anti-inflammatory properties and supports cellular regeneration, and in this invention its effect on liver fibrosis has been examined. Studies have demonstrated that LX A4 may reduce the development of liver fibrosis and may also promote liver recovery by increasing the activation of genes responsible for liver regeneration. This invention presents a new therapeutic potential aimed at accelerating liver recovery and preventing harmful processes such as fibrosis.

[0012] The patent application numbered TR 2020 / 01854 in the state of the art comprises a compound designed for use in the prophylaxis and / or treatment of Metabolic Dysfunction-Associated Liver Disease (MASLD) and Metabolic dysfunction-associated steatohepatitis (MASH). The invention covers the use of (R)-2-[3-[[N-(benzoxazol-2-yl)-N-3-(4-methoxy-phenoxy) propyl]aminomethyl]phenoxy]butyric acid or a salt or solvate of this compound. This compound has the potential to improve liver functions by reducing fat accumulation and inflammation in the liver. The invention provides a new treatment option for the treatment of such diseases by offering an effective pharmaceutical agent in the treatment of liver diseases.The patent application numbered WO2019121764A1 in the state of the art relates to a drug used for the treatment and / or prevention of liver fibrosis and / or cirrhosis. The drug in question is an inhibitor of the GPR55 receptor and is effective in the treatment of liver fibrosis and / or cirrhosis, while also providing benefit in the prevention of these diseases. Notably, this effect occurs independently of the presence or absence of inflammation in the liver. In other words, regardless of liver inflammation, this drug is able to prevent structural damage to the liver and halt the progression of the disease. The patent application numbered US2011086039A1 in the state of the art refers to the use of epidermal growth factor receptor (EGFR) inhibitors, particularly in the treatment of liver fibrosis and pre-cirrhotic diseases. EGFR inhibitors, such as small-molecule tyrosine kinase inhibitors including erlotinib, gefitinib, and lapatinib, or monoclonal antibodies such as cetuximab, may be used to reduce the severity of these diseases and prevent their progression. The invention comprises administering therapeutic doses of EGFR inhibitors to patients in whom fibrosis or pre-cirrhosis has been detected by liver biopsy, blood tests, or imaging methods, and evaluating their effects on liver functions. These methods may improve liver functions, prevent the progression of cirrhosis to the macronodular stage, and reduce the risk of liver cancer. In addition, benefits such as increasing the liver’s capacity to produce coagulation factors, regulating albumin synthesis, and reducing the death of liver cells may be provided during the treatment process. This invention presents a new approach in the treatment of liver diseases and stands out as a significant development in a field where existing treatment options are insufficient.

[0013] Although there are patented examples relating to liver cirrhosis, it is observed that there is no patented study evaluating care practices in patients with liver cirrhosis. There is no example patent of a study directed towards care practices in the nursing field related to liver cirrhosis. It is considered that, by encouraging patients to perform patient activity practices aimed at increasing participation in self-care, enabling the results to be recorded simultaneously, wirelessly, and securely, providing feedback by performing evaluations through care algorithms in line with the recorded data, and enabling symptom assessment, the invention differs from other studies.

[0014] In the state of the art, in order to enable the treatment processes of patients with liver cirrhosis to be monitored in a more dynamic, personalised, and effective manner, to increase patients’ active participation in self-care practices, and to ensure that healthmonitoring can be carried out in a secure and simultaneous manner, there is a need for a patient decision support system based on self-care algorithms that evaluate patient activity, and an operating method thereof, for patients diagnosed with liver cirrhosis, which provide wireless data recording, instant feedback, symptom assessment, and personalised recommendations by using artificial intelligence and algorithms. Such systems enable patients to regularly monitor and manage their health conditions, while also making it possible to determine the most appropriate treatment and care pathways by tracking daily and weekly activities such as diet, exercise, and medication use, collecting the data, and evaluating the data.

[0015] As a result, due to the negative aspects described above and the insufficiency of existing solutions regarding the subject matter, it has become necessary to carry out a development in the relevant technical field.

[0016] The Aim of the invention:

[0017] The most important aim of the invention is to enable patients to monitor and manage their own health and to support them in actively participating in self-care practices and performing them regularly. The invention aims to improve personal care processes by monitoring patients’ health data.

[0018] Another aim of the invention is to ensure that patients continuously monitor their health conditions and perform self-care practices regularly by tracking patients’ health conditions through daily and weekly patient activity practices, such as medication use, weight monitoring, oedema, defecation, fever, and blood pressure.

[0019] Another aim of the invention is to provide feedback to patients regarding their health conditions and to collect real-time personal data by evaluating the data obtained from patient activity practices through care algorithms, and to assess patients’ health conditions through these data.

[0020] Another aim of the invention is to evaluate health data and categorise the results as “normal”, “controllable”, or “urgent”, thereby classifying patients’ health conditions and enabling early detection of critical situations. Thus, a warning is issued for patients in an urgent condition to apply for emergency healthcare services.Another aim of the invention is to send reminders so that patients do not forget actions such as medication intake, weight monitoring, and blood pressure measurement, and to ensure that patients perform self-care practices regularly.

[0021] Another aim of the invention is to encourage patients’ participation in health monitoring and self-care processes and to increase their motivation to use the application.

[0022] Another aim of the invention is to create a user-friendly platform by enriching the application content with elements such as video, visual content, and gamification so that patients can easily use the application.

[0023] Another aim of the invention is to increase patients’ independence in their treatment processes by recommending self-management practices that patients in “normal”, and “controllable” conditions can continue at home. Thus, it enables patients to manage their own health at home.

[0024] Another aim of the invention is to enable patients diagnosed with liver cirrhosis to learn the health information necessary for improving and maintaining health, to transform the information they have learned into behaviour by actively participating in self-care practices, to evaluate the results of self-care practices obtained from real patient data simultaneously through care algorithms, to reach an evaluation outcome through the patient decision support system, and to make behavioural changes to improve health through the recommended self-care strategies in line with the evaluation outcome.

[0025] Description of the drawings:

[0026] FIGURE-1 is a drawing illustrating the patient decision support system based on self-care algorithms that evaluate patient activity for patients diagnosed with liver cirrhosis that are the subject of the invention.

[0027] Reference numbers:

[0028] 1: Server

[0029] 2: Interface

[0030] 3: DatabaseDescription of the invention:

[0031] The invention is, in general terms, a patient decision support system and operating method based on self-care algorithms that evaluate patient activity for patients diagnosed with liver cirrhosis, which enables the improvement of personal care processes by monitoring patients’ health data and generally comprises an interface (2), a server (1 ), and a database (3).

[0032] The invention enables patients to monitor and manage their own health, supports them in performing self-care practices regularly, and aims to improve personal care processes by monitoring patients’ health data.

[0033] The invention enables patients to continuously monitor their health conditions and to perform self-care practices regularly by tracking patients’ health conditions through daily and weekly patient activity practices, such as medication use, weight monitoring, oedema, defecation, fever, and blood pressure.

[0034] The invention evaluates patients’ health conditions by providing feedback to patients regarding their health conditions and by collecting real-time personal data through evaluating the data obtained from patient activity practices by means of care algorithms.

[0035] The invention enables early detection of critical situations by evaluating health data and categorising the results as “normal”, “controllable”, or “urgent”, thereby classifying patients’ health conditions. Thus, a warning is issued for patients in an urgent condition to apply for emergency healthcare services.

[0036] The invention sends reminders so that patients do not forget actions such as medication intake, weight monitoring, and blood pressure measurement, and ensures that patients perform self-care practices regularly.

[0037] The invention encourages patients’ participation in health monitoring and self-care processes and increases their motivation to use the application.

[0038] The invention creates a user-friendly platform by enriching the application content with elements such as video, visual content, and gamification so that patients can easily use the application.The invention increases patients’ independence in their treatment processes by recommending self-management practices that patients in “normal” and “controllable” conditions can continue at home. Thus, it enables patients to manage their own health at home.

[0039] The interface (2) is a visual and interactive element that enables the user to enter and monitor health data, create reminders, and provide feedback. The server (1) is an element that processes user data and performs data transmission and notificationsending operations by interacting with the interface (2). The database (3) is an element that stores users’ health information, monitored parameters, and data such as exercises and diet recommended by the system.

[0040] The operating method of the patient decision support system based on self-care algorithms that evaluate patient activity for patients diagnosed with liver cirrhosis comprises the process steps of;

[0041] • recording the user’s personal information, such as name, surname, age, gender, and chronic diseases, and health history, such as current health condition and medication use, in the database via the server by entering them through the interface,

[0042] • creating a profile that allows the user to personalise health data and reminders, • displaying, via the interface, daily patient activity tracking items that the user must perform every day, such as medication use, weight monitoring, oedema monitoring, intake / output tracking, and defecation (toilet) tracking,

[0043] • displaying, via the interface, weekly activity tracking items that must be performed every week, such as fever, blood pressure, and pulse measurements,

[0044] • as the user completes daily and weekly activity tracking, entering completion data through the interface via the server and increasing the score section, • the user clicking on the reminders page and viewing it on the interface,

[0045] • the user determining a time interval through the interface and the server sending reminder alerts at the determined time intervals, such as morning medication time and lunchtime meal tracking,• the user customising reminders according to personal needs, for example by adding a reminder for drinking water between meals,

[0046] • collecting parameters such as weight, medication use, fever, and pulse and recording daily and weekly activity tracking in the database,

[0047] • evaluating real-time data obtained as a result of daily and weekly activity tracking by means of care algorithms,

[0048] • making a decision regarding the condition by means of artificial intelligence according to the evaluated data,

[0049] • sending notifications to the user via the server according to the conditions, • creating self-care recommendations, such as exercises, dietary recommendations, and stress management, that users in normal or controllable conditions can continue at home by means of artificial intelligence, and displaying these via the interface,

[0050] • increasing levels by means of artificial intelligence for users who regularly perform health monitoring and displaying rewards via the interface,

[0051] • displaying motivational messages to users who regularly perform health monitoring via the interface, and

[0052] • evaluating feedback created by the user through the interface by the developer and making adjustments according to the feedback.

[0053] In the process step of making a decision regarding the condition by means of artificial intelligence according to the evaluated data, which is a process step of the operating method of the patient decision support system based on self-care algorithms that evaluate patient activity for patients diagnosed with liver cirrhosis; if the data are within the predetermined healthy range, the health condition is evaluated as excellent and is a “normal” condition; if the data are within the predetermined risky range and indicate a disease risk but there is no urgent situation, it is a “controllable” condition; and if the data are within the predetermined emergency intervention range and indicate a condition requiring emergency intervention, it is decided to be an “urgent” condition.In the process step of sending notifications to the user via the server according to the conditions, which is a process step of the operating method of the patient decision support system based on self-care algorithms that evaluate patient activity for patients diagnosed with liver cirrhosis; if the data are within the predetermined healthy range, a “normal” (green) notification is sent to the user; if the data are within the predetermined risky range, a “controllable” (yellow) notification is sent to the user; and if the data are within the predetermined emergency intervention range, an “urgent” (red) notification is sent to the user.

Claims

CLAIMS1. A patient decision support system based on self-care algorithms that evaluate patient activity for patients diagnosed with liver cirrhosis, comprising;• a visual and interactive interface (2) that enables the user to enter and monitor health data, create reminders, and provide feedback,• a server (1) that processes user data and performs data transmission and notification-sending operations by interacting with the interface (2), and• a database (3) that stores users’ health information, monitored parameters, and data such as exercises and diet recommended by the system.

2. A operating method of a patient decision support system based on self-care algorithms that evaluate patient activity for patients diagnosed with liver cirrhosis, comprising the process steps of;• recording the user’s personal information and health history in the database via the server by entering them through the interface,• creating a profile that enables the user to personalise health data and reminders,• displaying, via the interface, daily patient activity tracking that the user is required to perform every day,• displaying, via the interface, weekly activity tracking that the user is required to perform every week,• as the user completes daily and weekly activity tracking, entering completion data through the interface via the server and increasing the score section, • the user clicking on the reminders page and viewing it on the interface,• the user determining a time interval through the interface and the server sending reminder alerts at the determined time intervals,• the user customising reminders according to personal needs,• recording daily and weekly activity tracking in the database,• evaluating real-time data obtained as a result of daily and weekly activity tracking by means of care algorithms,• making a decision regarding the condition by means of artificial intelligence according to the evaluated data,• sending notifications to the user via the server according to the conditions,• creating self-care recommendations that users in normal or controllable conditions can continue at home by means of artificial intelligence and displaying these via the interface,• increasing levels by means of artificial intelligence for users who regularly perform health monitoring and displaying rewards via the interface,• displaying motivational messages to users who regularly perform health monitoring via the interface, and• evaluating feedback created by the user through the interface by the developer and making adjustments according to the feedback.

3. The operating method of a patient decision support system based on self-care algorithms that evaluate patient activity for patients diagnosed with liver cirrhosis according to Claim 2, wherein the process step of recording the user’s personal information and health history in the database via the server by entering them through the interface comprises name, surname, age, gender, and chronic diseases as the personal information, and current health condition and medication use as the health history.

4. The operating method of a patient decision support system based on self-care algorithms that evaluate patient activity for patients diagnosed with liver cirrhosis according to Claim 2, wherein the process step of displaying daily patient activity tracking that the user is required to perform every day via the interface comprises medication use, weight monitoring, oedema monitoring, intake / output tracking, and defecation (toilet) tracking as the daily patient activity tracking.

5. The operating method of a patient decision support system based on self-care algorithms that evaluate patient activity for patients diagnosed with liver cirrhosis according to Claim 2, wherein the process step of displaying weekly activity tracking that the user is required to perform every week via the interface comprises measurements of fever, blood pressure, and pulse as the weekly activity tracking.

6. The operating method of a patient decision support system based on self-care algorithms that evaluate patient activity for patients diagnosed with liver cirrhosis according to Claim 2, wherein the process step of the user determining timeintervals via the interface and reminders sending alerts via the server at the determined time intervals comprises morning medication time and lunchtime meal tracking as the determined time intervals.

7. The operating method of a patient decision support system based on self-care algorithms that evaluate patient activity for patients diagnosed with liver cirrhosis according to Claim 2, wherein the process step of the user customising reminders according to personal needs comprises adding a reminder for drinking water between meals as the personal needs.

8. The operating method of a patient decision support system based on self-care algorithms that evaluate patient activity for patients diagnosed with liver cirrhosis according to Claim 2, wherein the process step of creating, by means of artificial intelligence, self-care recommendations that users in “Normal” or “Controllable” conditions can continue at home and displaying them via the interface comprises exercises, diet recommendations, and stress management as the self-care recommendations.

9. The operating method of a patient decision support system based on self-care algorithms that evaluate patient activity for patients diagnosed with liver cirrhosis according to Claim 2, comprising, in the process step of making a decision regarding the condition by means of artificial intelligence according to the evaluated data, determining a normal condition if the data are within a predetermined healthy range; determining a controllable condition if the data are within a predetermined risky range and indicate a disease risk but there is no urgent situation; and determining an urgent condition if the data are within a predetermined emergency intervention range and indicate a condition requiring emergency intervention.

10. The operating method of a patient decision support system based on self-care algorithms that evaluate patient activity for patients diagnosed with liver cirrhosis according to Claim 2, wherein, in the process step of sending notifications to the user via the server according to the conditions, the notifications comprise sending “Normal” (green) to the user if the data are within a predetermined healthy range; sending “Controllable” (yellow) to the user if the data are within a predeterminedrisky range; and sending “Urgent” (red) to the user if the data are within a predetermined emergency intervention range.

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