Legal regulation of the use of artificial intelligence in medical procurement

Abstract

The use of artificial intelligence in medical procurement has become commonplace, as techno­logies help make decisions quickly and accurately; automate routine tasks; process large amounts of data and reduce human errors, reduce corruption risks; transparently assess the most operations thanks to open access; save money and to some extent human resources. Back in 2021, the WHO issued guidelines on the ethics and management of artifi­cial intelligence in healthcare, which identified the advantages and disadvantages of artificial intelli­gence. The hypothesis of the study is to prove the effectiveness of using AI in public procurement, identify gaps and shortcomings, study the experience of foreign countries in order to borrow best practices and provide proposals for legal regulation of the use of AI. The purpose of this study is a comprehensive analysis of legal acts on the use of AI in medical procurement. The artificial intelligence technologies that can be used in medical procu­rement are analysed: machine learning (Machine Learning, ML), natural language processing (Natural Language Processing, NLP), AI checklist for submit­ting a tender proposal, robotic process automation (Robotic Process Automation, RPA), fraud and anomaly detection, supplier selection system, chatbots in the field of public procurement, electronic system for accounting and management of stocks of medicines and medical devices "e-Stock". It was noted that this list is not exhaustive. A comparative analysis of the legislation of different countries and Ukraine on the regulation of artificial intelligence and medical procurement was conducted. It was emphasized that countries should be cautious when adopting such acts, because no one can fully predict the limits of progress of artificial intelligence and, accordingly, the consequences that may occur if a person loses control over artificial intelligence.