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

Author:

Bolgova Katerina V.1,Kovalchuk Sergey V.1ORCID,Balakhontceva Marina A.1,Zvartau Nadezhda E.2,Metsker Oleg G.1

Affiliation:

1. ITMO University, Saint Petersburg, Russia

2. National Almazov Medical Research Centre, Saint Petersburg, Russia

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.

Publisher

IGI Global

Reference29 articles.

1. Value-based medicine: concepts and application

2. Belden, J. L., Grayson, R., & Barnes, J. (2009). Defining and Testing EMR Usability: Principles and Proposed Methods of EMR Usability Evaluation and Rating. UM System. Retrieved from https://mospace.umsystem.edu/xmlui/handle/10355/3719

3. Human-Computer Interaction in Electronic Medical Records: From the Perspectives of Physicians and Data Scientists

4. Effect of Clinical Decision-Support Systems

5. Review of computerized clinical decision support in community pharmacy

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Cognitive Medical Decision Support System for IoT-Based Human-Computer Interface in Pervasive Computing Environment;Cognitive Computation;2024-01-22

2. PC-LSTM: Ontology-based Long Short-Term Memory State Model for Data Incompleteness Prediction;2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2022-07-11

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3