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Item OpenMRS Analytics Engine: A FHIR Based Approach(IOS Press, 2022) Kimaina, Allan; Dick, Jonathan; Sadjad, Bashir; Medicine, School of MedicineAs 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.