Haddad Nekoula (Postgraduate student, Bauman Moscow State Technical University)
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Decision support systems (DSS) in medicine are technological tools designed to optimize clinical practice by analyzing patient data and generating recommendations. However, their effectiveness is limited by the difficulties of integration with electronic medical records (EMRs), which remain a key source of information. The article examines the technical, organizational, and legal barriers to such integration, including incompatibility of data formats, fragmentation of systems, and privacy issues. Based on the analysis of modern research, solutions are proposed: standardization of interfaces, improvement of the algorithms used, and staff training.
Keywords:Decision Support System, Artificial Intelligence, Machine Learning, Information Systems Integration, data standardization, NLP.
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Citation link: Haddad N. DECISION SUPPORT SYSTEMS IN MEDICINE: LIMITATIONS AND POSSIBLE SOLUTIONS // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2025. -№04/2. -С. 130-134 DOI 10.37882/2223-2966.2025.04-2.31 |
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