Conceptual Approach to the Use of Information Acquired in Social Media for Medial Decisions

Abstract

A conceptual approach to the use of information collected in medical social media for decisionmaking is proposed. The formation of e-medicine has turned the medical social media environment into an important source of information for improving the medical decisionmaking 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.

Development of decision-making technique based on sentiment analysis of crowdsourcing data in medical social media resources

“…The methodological base in the sources [16,22,23, 28] about the information contained in medical social media resources as a valuable resource has been extended, its use This article is to define the criteria for evaluating the clinics' activity in the context of medical media.…”

“…Based on crowdsourcing in medical social media resources, for making decisions to improve the quality of medical care, [15] uses statistical and content analysis of the information collected from medical social media tools and describes scenarios for improving the qua lity of medical services. [16] conceptually describes solution of several issues as the most frequently requested medical problem by the population, taking into account age and gender, determination of the disease, medicine, etc. referring to the statistical analysis of the surveys collected in the doctor-patient segment of medical social media and the demographic (location, gender, age) indicators of e-patients.…”

Lexicon-based sentiment analysis of medical data

“…In Azerbaijan, social societies such as "Həkim.tap", "həkimsənaz.az", "sağlamolun.az", "doctormap.az", "Tibb.az" bring together the doctors specializing in various fields of medicine on one portal [3,4,7]. Patients may get detailed information about doctors by using the "doctor-search" section in these networks, they can contact those doctors and ask them questions.…”

“…The expansion of medical social media, the activity of medical specialists, doctors, patients, and medical clinics on social media has led to the formation of various stakeholders and the emergence of virtual medical relations between them. In [3,4], user relationships shaped in the medical social media environment are divided into the following segments:…”

“…In [2,3], the authors propose a conceptual approach for solving a number of medical decision-making issues based on the statistical analysis of information collected in medical social media, and in [4] they presented a methodology for evaluating the media activity of users. One of the important points here is the content analysis of the information related to the physicians-patient-medical institution, which are media subjects, and determining the opinion about media subjects in applications.…”