DIGITAL APPLICATIONS IN ACTIVITIES FACILITY OF HEALTH CARE
The paper considers the problem of researching the effectiveness of using digital applications in the activities of the institution care of health. At the same time, modern development requires constant communication and active use of the internal medical information system, which necessitates the use of digital mobile medical applications by both clients and doctors. And, if the recommended MIS are fully adapted to work with eHealth, the mobile application market is quite diverse, which creates certain difficulties for scientists and practitioners of the economic direction. Medical information system of the institution must provide the ability to work with digital mobile applications of clients, doctors and other interested parties, the diversity of which can cause complications in the functioning of the system. The way out of this situation is to use a "family" of IT products, i.e. the MIS and mobile applications were developed by one developer and all digital applications are by default oriented to work with this information system. An example of such a "family" is the MIS Helsi, whose application has been downloaded to their smartphones by more than 8,300,000 users and has even more comfortable access to their own medical data. Medical mobile applications are a digital application and go through a standard life cycle for all IT products. Evaluating the effectiveness of a digital application should characterize user activity and satisfaction, respectively, effective indicators should take into account the structure of users by connection type, age, geography, traffic usage, etc. Analyze dynamics, structure, and volume of web traffic for the needs of basic segmentation and RFM analysis allow you to specialized applications (Serpstat, SimilarWeb, Sensor Tower, AppMagic, data.ai, and others). The paper demonstrates the possibilities of collecting data on the performance of the Helsi.me application (an online medical service that helps you find the right doctor and to enroll in it or to enroll your relatives, store medical data in your personal account, and set reminders for taking medication) using SimilarWeb (tool for analyzing the market, dynamics, structure and volume of web traffic).
Authors
- Hennadii Karimov (ORCID: https://orcid.org/0000-0002-0208-2607)
- Svitlana Nuzhna (ORCID: https://orcid.org/0000-0002-6850-4016)
- Іван Карімов (ORCID: https://orcid.org/0000-0003-4145-9726)
- Andriy Lysenko
Publication Details
- Journal
- ECONOMIC BULLETIN OF THE DNIPROVSK STATE TECHNICAL UNIVERSITY
- Published
- 2025-06-16
- DOI
- https://doi.org/10.31319/2709-2879.2025iss1(10).332490pp75-81
- Primary Topic
- IoT and Edge/Fog Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00