OpenMRS Analytics Engine: A FHIR Based Approach
Date
2022
Language
American English
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IOS Press
Abstract
As the Electronic Health Record (EHR) data keeps growing in volume at an unprecedented rate, there is an increasing need for a more collaborative and scalable approach for designing and engineering clinical data pipelines. To address these two critical needs, we present a scalable analytics pipeline architecture, designed from the bottom-up to harness the power of FHIR (Fast Healthcare Interoperability Resources) for improving collaborative efforts in health data analytics and indicator reporting.
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Kimaina, A., Dick, J., & Sadjad, B. (2022). OpenMRS Analytics Engine: A FHIR Based Approach. Studies in Health Technology and Informatics, 290, 314–315. https://doi.org/10.3233/SHTI220086
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Studies in Health Technology and Informatics
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Article
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Final published version