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

IF 1.5 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Journal of Integrative Bioinformatics Pub Date : 2023-12-12 eCollection Date: 2023-09-01 DOI:10.1515/jib-2023-0014
Grigory A Oborotov, Konstantin A Koshechkin, Yuriy L Orlov
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引用次数: 0

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.

在药物治疗风险管理的风险分担协议中应用人工智能或机器学习。
人工智能在医疗信息解决方案中的应用具有风险分担的社会价值。在为公民提供药品的成本不断增加的今天,有必要抑制医疗成本的增长。寻求计算机技术来阻止或减缓成本的增长就有了新的重要意义。我们讨论了药物疗法中的两种信息技术以及将其结合和共享的可能性,即风险分担协议与机器学习的结合,人工智能(AI)的发展使机器学习成为可能。神经网络可用于预测结果,以减少治疗的风险因素。基于人工智能的数据处理自动化技术也可用于风险分担协议自动化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Integrative Bioinformatics
Journal of Integrative Bioinformatics Medicine-Medicine (all)
CiteScore
3.10
自引率
5.30%
发文量
27
审稿时长
12 weeks
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