The Effects of Electronic Health Records on Medical Error Reduction: Extension of the DeLone and McLean Information System Success Model.

IF 3.1 3区医学 Q2 MEDICAL INFORMATICS JMIR Medical Informatics Pub Date : 2024-10-16 DOI:10.2196/54572

Bester Chimbo, Lovemore Motsi

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Abstract

Background: Medical errors are becoming a major problem for health care providers and those who design health policies. These errors cause patients' illnesses to worsen over time and can make recovery impossible. For the benefit of patients and the welfare of health care providers, a decrease in these errors is required to maintain safe, high-quality patient care.

Objective: This study aimed to improve the ability of health care professionals to diagnose diseases and reduce medical errors.

Methods: Data collection was performed at Dr George Mukhari Academic Hospital using convenience sampling. In total, 300 health care professionals were given a self-administered questionnaire, including doctors, dentists, pharmacists, physiologists, and nurses. To test the study hypotheses, multiple linear regression was used to evaluate empirical data.

Results: In the sample of 300 health care professionals, no significant correlation was found between medical error reduction (MER) and knowledge quality (KQ) (β=.043, P=.48). A nonsignificant negative relationship existed between MER and information quality (IQ) (β=-.080, P=.19). However, a significant positive relationship was observed between MER and electronic health records (EHR; β=.125, 95% CI 0.005-0.245, P=.042).

Conclusions: Increasing patient access to medical records for health care professionals may significantly improve patient health and well-being. The effectiveness of health care organizations' operations can also be increased through better health information systems. To lower medical errors and enhance patient outcomes, policy makers should provide financing and support for EHR adoption as a top priority. Health care administrators should also concentrate on providing staff with the training they need to operate these systems efficiently. Empirical surveys in other public and private hospitals can be used to further test the validated survey instrument.

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电子健康记录对减少医疗事故的影响：DeLone 和 McLean 信息系统成功模型的扩展。

背景：医疗失误正成为医疗服务提供者和医疗政策制定者面临的一个主要问题。这些错误会导致病人的病情长期恶化，甚至无法康复。为了病人的利益和医疗服务提供者的福利，必须减少这些错误，以保持安全、高质量的病人护理：本研究旨在提高医护人员诊断疾病的能力，减少医疗失误：方法：在乔治-穆哈里博士学术医院采用便利抽样法收集数据。共向 300 名医护人员发放了自填问卷，其中包括医生、牙医、药剂师、生理学家和护士。为了验证研究假设，采用了多元线性回归法来评估经验数据：在 300 名医护人员的样本中，发现减少医疗差错（MER）与知识质量（KQ）之间没有明显的相关性（β=.043，P=.48）。减少医疗差错（MER）与信息质量（IQ）之间存在不明显的负相关关系（β=-.080，P=.19）。然而，MER 与电子健康记录（EHR；β=.125，95% CI 0.005-0.245，P=.042）之间存在明显的正相关关系：增加患者对医疗保健专业人员医疗记录的访问可能会大大改善患者的健康和福祉。通过更好的医疗信息系统还可以提高医疗机构的运营效率。为了减少医疗失误并提高病人的治疗效果，政策制定者应优先为电子病历的采用提供资金和支持。医疗管理者也应集中精力为员工提供有效操作这些系统所需的培训。在其他公立和私立医院进行的经验性调查可用于进一步检验经过验证的调查工具。

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来源期刊

JMIR Medical Informatics Medicine-Health Informatics

CiteScore

7.90

自引率

3.10%

发文量

173

审稿时长

12 weeks

期刊介绍： JMIR Medical Informatics (JMI, ISSN 2291-9694) is a top-rated, tier A journal which focuses on clinical informatics, big data in health and health care, decision support for health professionals, electronic health records, ehealth infrastructures and implementation. It has a focus on applied, translational research, with a broad readership including clinicians, CIOs, engineers, industry and health informatics professionals. Published by JMIR Publications, publisher of the Journal of Medical Internet Research (JMIR), the leading eHealth/mHealth journal (Impact Factor 2016: 5.175), JMIR Med Inform has a slightly different scope (emphasizing more on applications for clinicians and health professionals rather than consumers/citizens, which is the focus of JMIR), publishes even faster, and also allows papers which are more technical or more formative than what would be published in the Journal of Medical Internet Research.