评估10个开源病历系统与印度标准的匹配度，发现OpenEMR最契合。
A Quantitative Approach to Evaluating Open-Source EHR Systems for Indian Healthcare
- 用语法语义匹配法量化对比EHRMDS与10个开源病历系统的元数据一致性。
- OpenEMR覆盖EHRMDS 73.81%元数据元素，是兼容性最高的系统。
- 发现47个系统有而标准无的元数据，建议扩展标准以提升互操作性。
电子健康记录（EHR）的广泛应用凸显了医疗数据管理标准化与互操作性的需求。印度卫生与家庭福利部推出了电子健康记录最小数据集（EHRMDS），以统一临床文档。然而，开源电子健康记录系统（OS-EHRS）与EHRMDS的兼容性仍不明朗。本研究对10个常用OS-EHRS进行了系统评估，通过基于语法和语义相似性的交叉映射方法，量化分析其与EHRMDS的元数据一致性。结果显示，OpenEMR与EHRMDS的匹配度最高，覆盖73.81%的元数据元素；而OpenClinic匹配度最低，仅33.33%。此外，研究识别出47个在OS-EHRS中存在但未包含在EHRMDS中的元数据元素，表明需扩展元数据架构。该研究为提升印度医疗EHR系统的互操作性提供了实证依据，有助于政策制定者与机构选择符合国家标准的开源系统。
原文摘要 · Abstract (English)
The increasing use of Electronic Health Records (EHR) has emphasized the need for standardization and interoperability in healthcare data management. The Ministry of Health and Family Welfare, Government of India, has introduced the Electronic Health Record Minimum Data Set (EHRMDS) to facilitate uniformity in clinical documentation. However, the compatibility of Open-Source Electronic Health Record Systems (OS-EHRS) with EHRMDS remains largely unexplored. This study conducts a systematic assessment of the alignment between EHRMDS and commonly utilized OS-EHRS to determine the most appropriate system for healthcare environments in India. A quantitative closeness analysis was performed by comparing the metadata elements of EHRMDS with those of 10 selected OS-EHRS. Using crosswalk methodologies based on syntactic and semantic similarity, the study measured the extent of metadata alignment. Results indicate that OpenEMR exhibits the highest compatibility with EHRMDS, covering 73.81% of its metadata elements, while OpenClinic shows the least alignment at 33.33%. Additionally, the analysis identified 47 metadata elements present in OS-EHRS but absent in EHRMDS, suggesting the need for an extended metadata schema. By bridging gaps in clinical metadata, this study contributes to enhancing the interoperability of EHR systems in India. The findings provide valuable insights for healthcare policymakers and organizations seeking to adopt OS-EHRS aligned with national standards. Keywords. EHR metadata, electronic health record systems, EHRMDS, meta data, structured vocabularies, metadata crosswalk, methodologies and tools, SNOMED-CT, UMLS terms.
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