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	Implementation of a clinical decision support system to improve the medical data quality for hypertensive patients</div>

Mikhail V. Ionov, Ekaterina V. Bolgova , Zvartau Nadezhda E., Natalia G. Avdonina, Marina A. Balakhontceva, Kovalchuk Sergey V., Konradi Alexandra O.

2022 , VOLUME 22, NUMBER 1 ( january-february )

ISSN 2226-1494 (print), ISSN 2500-0373 (online)

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Nikiforov
Vladimir O.
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doi: 10.17586/2226-1494-2022-22-1-217-222

Implementation of a clinical decision support system to improve the medical data quality for hypertensive patients

M. V. Ionov, E. V. Bolgova, N. E. Zvartau, N. G. Avdonina, M. A. Balakhontceva, S. V. Kovalchuk, A. O. Konradi

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Ionov M.V., Bolgova E.V., Zvartau N.E., Avdonina N.G., Balakhontceva M.A., Kovalchuk S.V., Konradi A.O. Implementation of a clinical decision support system to improve the medical data quality for hypertensive patients. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2022, vol. 22, no. 1, pp. 217–222 (in Russian). doi: 10.17586/2226-1494-2022-22-1-217-222

Abstract

The digitalization of healthcare relies heavily on data analytics from medical information systems. Such systems aggregate information from heterogeneous sources, including electronic medical records. Improving the quality of data from electronic medical records is a modern challenge for developers of medical information systems. The authors have designed a decision support system with an expanded set of auxiliary functions to solve the problems of human-computer interaction, increasing the completeness and reliability of medical information. In this paper, the applicability of the existing decision-making system is investigated on the example of medical data of patients with arterial hypertension. The testing of the decision support system among medical specialists was carried out. The impact of the implementation of the system on the number of errors when filling out an electronic medical record was assessed. A software module was created integrated into the working version of the medical information system in the Almazov National Medical Research Centre. Test implementation of the system made it possible to reduce the number of errors and increase satisfaction with the information presented in patients with arterial hypertension.

Keywords: decision support systems, value-based medicine, human-computer interaction, digitalization of healthcare

Acknowledgements. The research was supported by the Russian Science Foundation (project No. 17-15-01177).

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