2017 № 3 Prospects for neural networks and deep machine learning in creating health solutions
The paper gives an overview of the prospects of using neural networks and deep machine learning in the creation of artificial intelligence systems for healthcare. The definition and explanations on the technologies of machine learning and neural networks are given. The review of already implemented artificial intelligence projects is presented, as well as the forecast of the most promising directions of development in the near future
2017 № 2 Clinical Decisions Support in medical information systems of a medical organization.
In the article the review of various possibilities of support of acceptance of medical decisions in medical information systems of the medical organizations is presented. The description of functional requirements and prospects in terms of increasing the effectiveness of medical information systems in the informatization of clinical work of doctors.
2018 № 2 Prospects for the further development of the medical statistics service through the transition to management based on data
In the article the problems of the system of collection of state statistical reporting existing in Russia and the consequences to which they result are analyzed. A review of literature and publications in the media and the blogosphere is provided, which reveal the existing shortcomings of medical statistics.
The gradual development of health management based on data with the refusal to use statistical reports is proposed. The key idea is a gradual refusal to apply the existing forms of state statistical reporting. Instead, it is necessary to create and consistently develop a system of support for management decisionmaking in the health sector, presented as one of the federal components of the EGIS. Ultimately, such a system should completely replace state statistical reporting approved by the orders of Rosstat, Ministry of Health, FFOMS and other executive authorities, including regional government bodies, as well as numerous disparate “monitoring”, “registers” and other federal management systems available in present time. The established single federal service EGISP should accumulate in itself all the formalized primary data, primarily depersonalized, from other components of the EGISP, such as medical information systems of medical organizations (MIS MO), regional services and EHISM systems, information systems of the TFOMS and etc.