Application of Artificial Intelligence or machine learning in risk sharing agreements for pharmacotherapy risk management

Author:

Oborotov Grigory A.1,Koshechkin Konstantin A.1,Orlov Yuriy L.23ORCID

Affiliation:

1. Chair of Information and Internet Technologies, Digital Health Institute , I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University) , Moscow , Russia

2. Institute of Cytology and Genetics SB RAS , Novosibirsk , Russia

3. Agrarian and Technological Institute , Peoples’ Friendship University of Russia , Moscow , Russia

Abstract

Abstract Applications of Artificial Intelligence in medical informatics solutions risk sharing have social value. At a time of ever-increasing cost for the provision of medicines to citizens, there is a need to restrain the growth of health care costs. The search for computer technologies to stop or slow down the growth of costs acquires a new very important and significant meaning. We discussed the two information technologies in pharmacotherapy and the possibility of combining and sharing them, namely the combination of risk-sharing agreements and Machine Learning, which was made possible by the development of Artificial Intelligence (AI). Neural networks could be used to predict the outcome to reduce the risk factors for treatment. AI-based data processing automation technologies could be also used for risk-sharing agreements automation.

Publisher

Walter de Gruyter GmbH

Subject

General Medicine

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