Jones James R, Gottlieb Daniel, McMurry Andrew J, Atreja Ashish, Desai Pankaja M, Dixon Brian E, Payne Philip R O, Saldanha Anil J, Shankar Prabhu, Solad Yauheni, Wilcox Adam B, Ali Momeena S, Kang Eugene, Martin Andrew M, Sprouse Elizabeth, Taylor David, Terry Michael, Ignatov Vladimir, Mandl Kenneth D
Computational Health Informatics Program, Boston Children's Hospital, Boston, MA.
Department of Biomedical Informatics, Harvard Medical School, Boston, MA.
medRxiv. 2023 Oct 6:2023.10.05.23296560. doi: 10.1101/2023.10.05.23296560.
To evaluate the real-world performance in delivering patient data on populations, of the SMART/HL7 Bulk FHIR Access API, required in Electronic Health Records (EHRs) under the 21st Century Cures Act Rule.
We used an open-source Bulk FHIR Testing Suite at five healthcare sites from April to September 2023, including four hospitals using EHRs certified for interoperability, and one Health Information Exchange (HIE) using a custom, standards-compliant API build. We measured export speeds, data sizes, and completeness across six types of FHIR resources.
Among the certified platforms, Oracle Cerner led in speed, managing 5-16 million resources at over 8,000 resources/min. Three Epic sites exported a FHIR data subset, achieving 1-12 million resources at 1,555-2,500 resources/min. Notably, the HIE's custom API outperformed, generating over 141 million resources at 12,000 resources/min.
The HIE's custom API showcased superior performance, endorsing the effectiveness of SMART/HL7 Bulk FHIR in enabling large-scale data exchange while underlining the need for optimization in existing EHR platforms. Agility and scalability are essential for diverse health, research, and public health use cases.
To fully realize the interoperability goals of the 21st Century Cures Act, addressing the performance limitations of Bulk FHIR API is critical. It would be beneficial to include performance metrics in both certification and reporting processes.
评估《21世纪治愈法案》规则下电子健康记录(EHR)中所需的SMART/HL7批量FHIR访问应用程序编程接口(API)在提供人群患者数据方面的实际性能。
2023年4月至9月,我们在五个医疗保健站点使用了一个开源批量FHIR测试套件,其中包括四家使用经认证可实现互操作性的电子健康记录的医院,以及一家使用符合标准的自定义API构建的健康信息交换(HIE)机构。我们测量了六种FHIR资源类型的导出速度、数据大小和完整性。
在经过认证的平台中,甲骨文Cerner的速度领先,以每分钟超过8000个资源的速度管理500万至1600万个资源。三个Epic站点导出了一个FHIR数据子集,以每分钟1555至2500个资源的速度实现了100万至1200万个资源。值得注意的是,HIE的自定义API表现出色,以每分钟12000个资源的速度生成了超过1.41亿个资源。
HIE的自定义API展示了卓越的性能,证明了SMART/HL7批量FHIR在实现大规模数据交换方面的有效性,同时强调了现有电子健康记录平台进行优化的必要性。敏捷性和可扩展性对于各种健康、研究和公共卫生用例至关重要。
为了全面实现《21世纪治愈法案》的互操作性目标,解决批量FHIR API的性能限制至关重要。在认证和报告过程中纳入性能指标将是有益的。