title: Clinical Predictive Modeling Development and Deployment through FHIR Web Services.
abstract: Clinical predictive modeling involves two challenging tasks: model development and model deployment. In this paper we demonstrate a software architecture for developing and deploying clinical predictive models using web services via the Health Level 7 (HL7) Fast Healthcare Interoperability Resources (FHIR) standard. The services enable model development using electronic health records (EHRs) stored in OMOP CDM databases and model deployment for scoring individual patients through FHIR resources. The MIMIC2 ICU dataset and a synthetic outpatient dataset were transformed into OMOP CDM databases for predictive model development. The resulting predictive models are deployed as FHIR resources, which receive requests of patient information, perform prediction against the deployed predictive model and respond with prediction scores. To assess the practicality of this approach we evaluated the response and prediction time of the FHIR modeling web services. We found the system to be reasonably fast with one second total response time per patient prediction.
authors.affiliation: Georgia Institute of Technology, Atlanta, Georgia.
authors.forename: Mohammed
authors.initials: M
authors.lastname: Khalilia
authors.affiliation: Georgia Institute of Technology, Atlanta, Georgia.
authors.forename: Myung
authors.initials: M
authors.lastname: Choi
authors.affiliation: Georgia Institute of Technology, Atlanta, Georgia.
authors.forename: Amelia
authors.initials: A
authors.lastname: Henderson
authors.affiliation: Georgia Institute of Technology, Atlanta, Georgia.
authors.forename: Sneha
authors.initials: S
authors.lastname: Iyengar
authors.affiliation: Georgia Institute of Technology, Atlanta, Georgia.
authors.forename: Mark
authors.initials: M
authors.lastname: Braunstein
authors.affiliation: Georgia Institute of Technology, Atlanta, Georgia.
authors.forename: Jimeng
authors.initials: J
authors.lastname: Sun
mesh_terms: D000465:Algorithms; D066264:Datasets as Topic; D057286:Electronic Health Records / Q000458:organization & administration* / Q000592:standards; D066275:Health Information Exchange / Q000592:standards*; D000073892:Health Information Interoperability / Q000592:standards; D057208:Health Level Seven; D006801:Humans; D020407:Internet; D010865:Pilot Projects; D012984:Software