电子病历系统中观察性医疗结局伙伴关系模型的实施：使用因子分析和决策试验与评价实验室最适最差法的评估研究。
Implementation of the Observational Medical Outcomes Partnership Model in Electronic Medical Record Systems: Evaluation Study Using Factor Analysis and Decision-Making Trial and Evaluation Laboratory-Best-Worst Methods.
机构信息
Meizhou People's Hospital, Meizhou, China.
Shenzhen Luohu District People's Hospital, Shenzhen, China.
出版信息
JMIR Med Inform. 2024 Sep 27;12:e58498. doi: 10.2196/58498.
BACKGROUND
Electronic medical record (EMR) systems are essential in health care for collecting and storing patient medical data. They provide critical information to doctors and caregivers, facilitating improved decision-making and patient care. Despite their significance, optimizing EMR systems is crucial for enhancing health care quality. Implementing the Observational Medical Outcomes Partnership (OMOP) shared data model represents a promising approach to improve EMR performance and overall health care outcomes.
OBJECTIVE
This study aims to evaluate the effects of implementing the OMOP shared data model in EMR systems and to assess its impact on enhancing health care quality.
METHODS
In this study, 3 distinct methodologies are used to explore various aspects of health care information systems. First, factor analysis is utilized to investigate the correlations between EMR systems and attitudes toward OMOP. Second, the best-worst method (BWM) is applied to determine the weights of criteria and subcriteria. Lastly, the decision-making trial and evaluation laboratory technique is used to illustrate the interactions and interdependencies among the identified criteria.
RESULTS
In this research, we evaluated the AliHealth EMR system by surveying 98 users and practitioners to assess its effectiveness and user satisfaction. The study reveals that among all components, "EMR resolution" holds the highest importance with a weight of 0.31007783, highlighting its significant role in the evaluation. Conversely, "EMR ease of use" has the lowest weight of 0.1860467, indicating that stakeholders prioritize the resolution aspect over ease of use in their assessment of EMR systems.
CONCLUSIONS
The findings highlight that stakeholders prioritize certain aspects of EMR systems, with "EMR resolution" being the most valued component.
背景
电子病历（EMR）系统对于收集和存储患者医疗数据在医疗保健中至关重要。它们为医生和护理人员提供关键信息，有助于做出更好的决策和提供更好的患者护理。尽管它们意义重大，但优化 EMR 系统对于提高医疗保健质量至关重要。实施观察性医疗结局伙伴关系（OMOP）共享数据模型是一种改善 EMR 性能和整体医疗保健结果的有前途的方法。
目的
本研究旨在评估在 EMR 系统中实施 OMOP 共享数据模型的效果，并评估其对提高医疗保健质量的影响。
方法
在这项研究中，使用了 3 种不同的方法来探索医疗保健信息系统的各个方面。首先，使用因子分析来研究 EMR 系统与对 OMOP 的态度之间的相关性。其次，使用最佳最差法（BWM）来确定标准和子标准的权重。最后，使用决策试验和评估实验室技术来说明确定的标准之间的相互作用和相互依存关系。
结果
在这项研究中，我们通过调查 98 名用户和从业者来评估阿里健康 EMR 系统的有效性和用户满意度。研究表明，在所有组件中，“EMR 分辨率”具有最高的重要性，权重为 0.31007783，突出了其在评估中的重要作用。相比之下，“EMR 使用方便性”的权重最低，为 0.1860467，表明利益相关者在评估 EMR 系统时优先考虑 EMR 分辨率而不是易用性。
结论
研究结果表明，利益相关者优先考虑 EMR 系统的某些方面，其中“EMR 分辨率”是最有价值的组件。
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