A Standardized Clinical Data Harmonization Pipeline for Scalable AI Application Deployment (FHIR-DHP): Validation and Usability Study.

ABSTRACT:

Background

Increasing digitalization in the medical domain gives rise to large amounts of health care data, which has the potential to expand clinical knowledge and transform patient care if leveraged through artificial intelligence (AI). Yet, big data and AI oftentimes cannot unlock their full potential at scale, owing to nonstandardized data formats, lack of technical and semantic data interoperability, and limited cooperation between stakeholders in the health care system. Despite the existence of standardized data formats for the medical domain, such as Fast Healthcare Interoperability Resources (FHIR), their prevalence and usability for AI remain limited.

Objective

In this paper, we developed a data harmonization pipeline (DHP) for clinical data sets relying on the comm

SUBMITTER: Williams E 

PROVIDER: S-EPMC10131740 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature