A Framework for Criteria-Based Selection and Processing of Fast Healthcare Interoperability Resources (FHIR) Data for Statistical Analysis: Design and Implementation Study.

ABSTRACT:

Background

The harmonization and standardization of digital medical information for research purposes is a challenging and ongoing collaborative effort. Current research data repositories typically require extensive efforts in harmonizing and transforming original clinical data. The Fast Healthcare Interoperability Resources (FHIR) format was designed primarily to represent clinical processes; therefore, it closely resembles the clinical data model and is more widely available across modern electronic health records. However, no common standardized data format is directly suitable for statistical analyses, and data need to be preprocessed before statistical analysis.

Objective

This study aimed to elucidate how FHIR data can be queried directly with a preprocessing service an

SUBMITTER: Gruendner J 

PROVIDER: S-EPMC8050750 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature