Evaluation of the impact of Clinical Decision Support Systems: Descriptive Analytics

2020 2nd International Conference on Computer and Information Sciences (ICCIS) Pub Date : 2020-10-13 DOI:10.1109/ICCIS49240.2020.9257686

Mohammed Suliman Albahly, M. Seliaman

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引用次数: 4

Abstract

Due to the importance and criticality of the healthcare sector and the huge increase in the number of patients and hospitals, it becomes essential to implement Clinical Decision Support Systems. The integration between Clinical Decision Support Systems and Electronic Medical Records facilitates health practitioners' job and minimizes their clinical mistakes to enhance patients' outcomes. The increase of electronic systems adoption in Saudi Arabia, a high number of clinical mistakes, the utilization of health practitioners' tacit knowledge, and enhancing the overall performance of the medication prescribing process are the main motivators to conduct this research. This research aims to evaluate the currently implemented CDSS as a part of HIS BESTCare 2.0 at the Saudi Ministry of National Guard Health Affairs. The extracted data from DW show that more than 5% of medication prescriptions contain harm's errors, and the override rate was 21.46%. The level of experience positively affected the physicians' performance since consultants had the lowest error rate.

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评估临床决策支持系统的影响:描述性分析

由于医疗保健部门的重要性和关键性以及患者和医院数量的巨大增加，实施临床决策支持系统变得至关重要。临床决策支持系统和电子病历之间的集成促进了医疗从业者的工作，并最大限度地减少了他们的临床错误，以提高患者的治疗效果。沙特阿拉伯电子系统采用的增加，临床错误数量的增加，卫生从业人员隐性知识的利用，以及提高药物处方过程的整体绩效是开展本研究的主要动机。本研究旨在评估沙特国民警卫队卫生事务部目前实施的CDSS作为HIS BESTCare 2.0的一部分。DW提取的数据显示，超过5%的用药处方存在伤害错误，覆盖率为21.46%。经验水平对医生的表现有积极影响，因为咨询师的错误率最低。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2020 2nd International Conference on Computer and Information Sciences (ICCIS)

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