Factors influencing on the interaction of participants in the treatment and diagnostic process and efficiency in the healthcare system (literature review)

Abstract

Improving efficiency is one of the important aspects in the health care system. One of the key issues today is the improving the quality of management institution of medical care to the population. The study of the satisfaction of all participants in the diagnostic and treatment process and their interaction during medical care process is very important aim. The satisfaction of patients and employees of a medical institution during the treatment and diagnostic process is influenced by many factors. Achieving the maximum level of satisfaction of patients and employees of a medical institution and the quality of the management of medical care is possible with appropriate indicators of the structure, process and result, but it depends strongly on the effective interaction between all elements both within one medical institution and at the level of the healthcare system. A search of literature was performed with databases Scopus, Web of Science, MedLine, The Cochrane Library, EMBASE, Global Health, CyberLeninka, RSCI. This review provides information on the factors affecting the satisfaction of participants in the diagnostic and treatment process and their interaction during providing the medical care. Both the satisfaction of employees and patients, and the successful interaction of all participants of the diagnostic and treatment process positively affect the efficiency in the healthcare system. The purpose of the presented work is to analyze experience regarding the factors affecting social efficiency, satisfaction and interaction of participants in the treatment and diagnostic process. According to the results of this analysis, the factors influencing the interaction of the parties of the treatment and diagnostic process, improving the quality of the management of medical care and efficiency in the healthcare system as a whole,were noted to be correlated to each other and could be managed by the development of special algorithms and strategies.