Abstract
A conceptual approach to the use of information collected in medical social media for decision-making is proposed. The formation of e-medicine has turned the medical social media environment into an important source of information for improving the medical decision-making process, taking into account public opinion. Referring to this source, the information collected to obtain the data essential for medical decision-making is classified, and the medical social media environment is segmented for user relations. The information collected in the physician-patient segment is taken as a research object, and the inquiries of e-patients in a number of national medical resources are statistically analyzed. Referring to the results and demographic data of e-patients, the activity of the stakeholders in medical social media is assessed, and the informative indicators for medical decisions are defined. The process of medical decision-making is formally described. The results of the study represent an innovative approach to the use of the results of statistical analysis of information collected in the national medical social media to improve medical decision-making. This approach constitutes the conceptual framework for a decision support system to improve the quality of health care, taking into account public opinion.
Highlights
At present, information technology and the Internet have created a basis for e-medicine which has penetrated all areas, including healthcare
Formation of professional human resources in the professional medical social media space created a steady increase in the number of stakeholders where the forms of activities in this environment are diverse
An important aspect of the proposed approach is the use of the indicators of media activity of stakeholders and the informative indicators necessary for decision-making, based on the results of statistical analysis of the requests collected in the medical social media environment, rather than the content analysis
Summary
Information technology and the Internet have created a basis for e-medicine which has penetrated all areas, including healthcare. There are many social media tools (Efimenko & Horoshevskij, 2016): network platforms, blogs, micro blogs, wikis, data exchange sites, virtual reality, etc. These tools serve to improve professional networks, to develop public health programs, and to educate patients. E-patients are supported by the experts and recovered patients. They post complaints and symptoms in a social network, and e-patients get the opportunity to check the validity of the diagnosis and treatment methods assigned to them (Mammadova & Jabrayilova, 2019).
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