Human-Computer Interaction in Electronic Medical Records: From the Perspectives of Physicians and Data Scientists
Autor: | Sergey V. Kovalchuk, Alexey V. Krikunov, Nadezhda Zvartau, Diana I. Prokusheva, Ekaterina V. Bologva |
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Rok vydání: | 2016 |
Předmět: |
Computer science
media_common.quotation_subject Medical record clinical disicion support systems human-coumputer interaction 02 engineering and technology Medical research healthcare quality Clinical decision support system medical data analysis 03 medical and health sciences electronic health records 0302 clinical medicine Human–computer interaction 0202 electrical engineering electronic engineering information engineering General Earth and Planetary Sciences 020201 artificial intelligence & image processing Quality (business) 030212 general & internal medicine General Environmental Science media_common |
Zdroj: | Procedia Computer Science. 100:915-920 |
ISSN: | 1877-0509 |
Popis: | This study investigated the most common challenges of human computer interaction (HCI) while using electronic medical records (EMR) based on the experience of a large Russian medical research center. Inadequate HCI may have a dramatic effect on the quality of data stored in the electronic medical system. We identified the most common classes of mistakes that emerge because of poor HCI design in EMR. Possible consequences of such mistakes are discussed from clinical and data science perspectives. Integration of specially designed clinical decision support system (СDSS) is considered as a possible way to improve HCI with subsequent increase of the EMR quality. This study is a part of a larger project to develop complex CDSS on cardiovascular disorders for medical research centers. |
Databáze: | OpenAIRE |
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