Pathling: analytics on FHIR.

ABSTRACT:

Background

Health data analytics is an area that is facing rapid change due to the acceleration of digitization of the health sector, and the changing landscape of health data and clinical terminology standards. Our research has identified a need for improved tooling to support analytics users in the task of analyzing Fast Healthcare Interoperability Resources (FHIR^®) data and associated clinical terminology.

Results

A server implementation was developed, featuring a FHIR API with new operations designed to support exploratory data analysis (EDA), advanced patient cohort selection and data preparation tasks. Integration with a FHIR Terminology Service is also supported, allowing users to incorporate knowledge from rich terminologies such as SNOMED CT within their

SUBMITTER: Grimes J 

PROVIDER: S-EPMC9455941 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature