OpenMRS Analytics Engine: A FHIR Based Approach
| dc.contributor.author | Kimaina, Allan | |
| dc.contributor.author | Dick, Jonathan | |
| dc.contributor.author | Sadjad, Bashir | |
| dc.contributor.department | Medicine, School of Medicine | |
| dc.date.accessioned | 2024-06-12T16:56:18Z | |
| dc.date.available | 2024-06-12T16:56:18Z | |
| dc.date.issued | 2022 | |
| dc.description.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. | |
| dc.eprint.version | Final published version | |
| dc.identifier.citation | 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 | |
| dc.identifier.uri | https://hdl.handle.net/1805/41477 | |
| dc.language.iso | en_US | |
| dc.publisher | IOS Press | |
| dc.relation.isversionof | 10.3233/SHTI220086 | |
| dc.relation.journal | Studies in Health Technology and Informatics | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | |
| dc.source | Publisher | |
| dc.subject | Analytics-pipeline | |
| dc.subject | FHIR | |
| dc.subject | Health data science | |
| dc.title | OpenMRS Analytics Engine: A FHIR Based Approach | |
| dc.type | Article |