Maria Michaels, Nathan E Botts, Susan Hassell, Russell Mardon, Eric Chung Ren Pan, Mike Flanigan, Chirine Chehab, Sara Liu, Angelica Bocour, Mark Alexander, Angel Aponte, Nicola D Thompson
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引用次数: 0
Abstract
Objectives: This study aimed to demonstrate real-world use of the Making Electronic Data More Available for Research and Public Health (MedMorph) Reference Architecture (RA) for automated exchange of hepatitis C-related data for public health surveillance and research using Fast Healthcare Interoperability Resources (FHIR).
Methods: Pilot participants included a public health authority (PHA), research organization (RO), clinical sites, and electronic health record (EHR) vendors. The RA was tested for hepatitis C public health surveillance and research data exchange. A mixed methods evaluation used multiple data sources to assess impact of the RA compared with usual methods.
Results: After implementation of the RA components, there was no burden on clinical staff to report data for public health surveillance or research purposes. Data were successfully transferred and passed from EHR to PHA and RO, which revealed the value of receiving clinical data in addition to laboratory data via electronic laboratory reporting for the PHA and limitations in the Bulk FHIR standard.
Conclusion: Initial results indicate potential for long-term reduction of level of effort of reporting while improving the availability and completeness of clinical data for public health surveillance and research. Using a FHIR-based approach that aligns with regulatory health information technology certification requirements and existing infrastructure may reduce implementation burden. The MedMorph approach can enhance public health surveillance and research, resulting in improved data completeness and reduced reporting burden through automated data exchange using industry standards. MedMorph will continue to inform Centers for Disease Control and Prevention's Public Health Data Strategy, which provides the agency's direction for data modernization.
期刊介绍:
ACI is the third Schattauer journal dealing with biomedical and health informatics. It perfectly complements our other journals Öffnet internen Link im aktuellen FensterMethods of Information in Medicine and the Öffnet internen Link im aktuellen FensterYearbook of Medical Informatics. The Yearbook of Medical Informatics being the “Milestone” or state-of-the-art journal and Methods of Information in Medicine being the “Science and Research” journal of IMIA, ACI intends to be the “Practical” journal of IMIA.