Open AccessMatrix for direct-to-consumer telemedicine quality assessing
Author(s) -
A.V. Vladzymyrskyy,
Scientific,
Russia Moscow
Publication year - 2020
Publication title -
žurnal telemediciny i èlektronnogo zdravoohraneniâ
Language(s) - English
Resource type - Journals
eISSN - 2712-858X
pISSN - 2542-2413
DOI - 10.29188/2542-2413-2020-6-4-34-44
Subject(s) - telemedicine , quality (philosophy) , quality assurance , control (management) , health care , computer science , knowledge management , process management , risk analysis (engineering) , management science , engineering management , medicine , business , artificial intelligence , engineering , marketing , service (business) , philosophy , epistemology , economics , economic growth
. The growing demand for online medical services, the active inclusion of telemedicine consultations in state health insurance programs, and the general intensive development of telemedicine require a methodology for quality assurance and control. Objective is to develop a methodological basis for a comprehensive assessment of the quality and effectiveness of direct-to-consumer telemedicine consultations. Material and methods. There are sources of primary data: systematizing scientific publications (descriptions of models and methodologies for telemedicine quality assessing); own theoretical researches, accumulated practical experience with of directto-consumer telemedicine. Methods of analysis and synthesis have been use. Results and discussion. The matrix for for direct-to-consumer telemedicine quality assessing has formed. It includes four domains «Accessibility», «Efficiency», «Safety» and «Responsibility» from the standpoint of all participants of the distant interaction processes: patient and/or legal representative; medical consultant; operator of a telemedicine information system; medical organization; health care system (society). The matrix takes into account the aspects of goal-setting and the interests of each participant. There are structured metrics in frame of each domain. Conclusions. The matrix can be used as a basis for scientific research and as a methodology for internal and departmental quality control of medical care provided via telemedicine technologies.