Department of Biomedical Informatics, Intermountain Healthcare, Murray, Utah, United States.
Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, United States.
Appl Clin Inform. 2019 Jan;10(1):87-95. doi: 10.1055/s-0038-1677527. Epub 2019 Feb 6.
This article describes lessons learned from the collaborative creation of logical models and standard Health Level Seven (HL7) Fast Healthcare Interoperability Resources (FHIR) profiles for family planning and reproductive health. The National Health Service delivery program will use the FHIR profiles to improve federal reporting, program monitoring, and quality improvement efforts.
Organizational frameworks, work processes, and artifact testing to create FHIR profiles are described.
Logical models and FHIR profiles for the Family Planning Annual Report 2.0 dataset have been created and validated.
Using clinical element models and FHIR to meet the needs of a real-world use case has been accomplished but has also demonstrated the need for additional tooling, terminology services, and application sandbox development.
FHIR profiles may reduce the administrative burden for the reporting of federally mandated program data.
本文描述了在协作创建计划生育和生殖健康的逻辑模型和标准健康水平 7 (HL7)快速医疗互操作性资源(FHIR)配置文件方面的经验教训。国家卫生服务提供计划将使用 FHIR 配置文件来改进联邦报告、计划监测和质量改进工作。
描述了创建 FHIR 配置文件的组织框架、工作流程和人工制品测试。
创建和验证了计划生育年度报告 2.0 数据集的逻辑模型和 FHIR 配置文件。
使用临床元素模型和 FHIR 满足实际用例的需求已经完成,但也表明需要额外的工具、术语服务和应用程序沙盒开发。
FHIR 配置文件可能会减轻联邦授权计划数据报告的行政负担。