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Human Computer Interaction During Clinical Decision Support With Electronic Health Records Improvement

Human Computer Interaction During Clinical Decision Support With Electronic Health Records Improvement

Katerina V. Bolgova, Sergey V. Kovalchuk, Marina A. Balakhontceva, Nadezhda E. Zvartau, Oleg G. Metsker
ISBN13: 9781799890232|ISBN10: 1799890236|EISBN13: 9781799890249
DOI: 10.4018/978-1-7998-9023-2.ch062
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MLA

Bolgova, Katerina V., et al. "Human Computer Interaction During Clinical Decision Support With Electronic Health Records Improvement." Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering, edited by Information Resources Management Association, IGI Global, 2021, pp. 1316-1330. https://doi.org/10.4018/978-1-7998-9023-2.ch062

APA

Bolgova, K. V., Kovalchuk, S. V., Balakhontceva, M. A., Zvartau, N. E., & Metsker, O. G. (2021). Human Computer Interaction During Clinical Decision Support With Electronic Health Records Improvement. In I. Management Association (Ed.), Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering (pp. 1316-1330). IGI Global. https://doi.org/10.4018/978-1-7998-9023-2.ch062

Chicago

Bolgova, Katerina V., et al. "Human Computer Interaction During Clinical Decision Support With Electronic Health Records Improvement." In Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering, edited by Information Resources Management Association, 1316-1330. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-9023-2.ch062

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Abstract

This study investigated the most common challenges of human-computer interaction (HCI) while using electronic health records (EHR) based on the experience of a large Russian medical research center. The article presents the results of testing DSS implemented in the mode of an additional interface with the EHR. The percentage of erroneous data for two groups of users (with and without notifications) is presented for the entire period of the experiment and the weekly dynamics of changes. The implementation of CDSS in the supplemented interface mode of the main medical information system (MIS) has had a positive effect in reducing user errors in the data. The results of users' survey are presented, showing a satisfactory evaluation of the implemented system. This study is part of a larger project to develop complex CDSS on cardiovascular disorders for medical research centers.

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