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.
CITATION STYLE
Kimaina, A., Dick, J., & Sadjad, B. (2022). OpenMRS Analytics Engine: A FHIR Based Approach. In Studies in Health Technology and Informatics (Vol. 290, pp. 314–315). IOS Press BV. https://doi.org/10.3233/SHTI220086
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