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Personal decision support system for heart failure management

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Artificial Intelligence (AI)
Computer Software
Applications for Health
Artificial intelligence related software
Computer-aided diagnosis and therapy
Patient rehabilitation & training
Other research and experimental development on natural sciences and engineering


Slovenian researchers have developed and clinically tested a mobile personal health application that provides accurate personalized advice for patients with congestive heart failure. They are seeking industry and academic institutions to create new or enhance existing hearth disease treatment solutions, leveraging their technology under technical cooperation and research cooperation agreements.



Congestive heart failure (CHF) is a serious disease that requires complex management involving multiple medications, exercise, and lifestyle changes. It mainly affects older patients, many of whom also have depression and anxiety, so they find disease management difficult. Existing mobile apps supporting the self-management of CHF have limited features and are inadequately validated. For example, there is no existing solution which is taking into account the psychological state of the CHF patient and offering accurate advice on disease management adapted to each patient.

The Slovenian research institute with partners have developed a state-of-the-art personal health system that helps patients manage CHF. It consists of a mobile application that coaches the patient; a wristband connected to the application that measures the heart rate, physical activity and respiration rate, as well as estimates the blood pressure; a backend that manages the patients’ data and performs some of the reasoning about patient’s condition; and a web application for medical professionals.
The application recognizes five important topics concerning self-management for these patients: physical activity, medication, nutrition, monitoring of symptoms and physiological parameters, and environment management. The application has access to patient’s health records, it is connected to a monitoring wristband, and keeps a record of the user’s past actions. Provided guidance is thus personalized and based on the patient’s data. For example, the exercise programme depends on the patient’s physical capacity and current heart rate, while the nutrition education is adapted to the patient’s comorbidities (diabetes etc.) and focuses on topics the patient has difficulties with. Healthcare professionals have a key role in the CHF. Therefore, the solution includes also a web portal designed specifically for professionals. The portal provides fast access to patient data from multiple sources, and simplifies the interpretation of patient information to improve disease management.
The authors of the system are computer science researchers, with many successfully applied and won machine learning challenges in the health, Covid 19 response and industrial domains, such as Xprize competition.

The research institute is seeking academic institutions, hospitals and industry who would use the system to support their research (under a research cooperation agreement). The institute is also keen to cooperate with an industrial partner for the commercialization of the technology (under a technical cooperation agreement).

Advantages & innovations

Cooperation plus value: 
Several mobile applications for congestive heart failure management have been developed in last couple of years, but their main functionality is to track the information relevant for the patient’s health, while their guidance is general and usually relatively simple. Most of them focus only on one or two problems (e.g. medication adherence, physical activity, etc.). The proposed system has numerous advantages and innovations as opposed to congestive heart failure systems which are available on the market: - it provides comprehensive guidance to all relevant self-management topics identified through the literature review (physical activity, medication, nutrition, monitoring of symptoms and physiological parameters, and environment management) - it offers a significant degree of personalisation - it raises the patient’s awareness of their health through monitoring and providing advice - it has a high degree of adjustability for adding new functionalities or changing the (visual) design of the application - as a complete solution reduces mortality risks and hospital admission.

Stage of development

Cooperation stage dev stage: 
Field tested/evaluated

Partner sought

Cooperation area: 
Type: For research cooperation agreements: Academic institutions, hospitals and companies with experience in participation in international research projects and other bilateral or in-house research projects. Partners with experience in project coordination is surplus. Companies with core expertise in e-health, wellbeing, wearable and other health related technologies are specifically sought. For technology cooperation agreements: Companies which develop, produce, sell wearable, wireless, medical, personal health monitoring and other health related and medical devices, solutions for remote patient monitoring, on-site professional healthcare monitoring and home/office/work environment monitoring are sought. Role: For research cooperation agreements: Ideally, partners should prepare (in-house research) or be part of wider (typically international) consortia for new project proposals. Partners with experience in participation in international research projects and coordination of (bigger) research projects is surplus (e.g. Horizon Europe Programme). For technology cooperation agreements: Companies should develop and test e-health solutions with good established cooperation with hospitals and patients for establishment of extensive trials of the proposed system.

Type and size

Cooperation task: 
SME 11-50,University,R&D Institution,SME <10,>500 MNE,251-500,SME 51-250,>500