Accelerating Multi-site Health Informatics with Streamlined Data Infrastructure using OMOP-on-FHIR.

Area of Science:

• Health Informatics
• Pediatric Research
• Data Standards

Background:

• Healthcare data access is crucial for clinical research but often faces significant barriers.
• Shriners Children's (SHC) possesses extensive clinical data, highlighting the need for improved data accessibility.
• Existing data standards can limit interoperability and research collaboration.

Purpose of the Study:

• To reduce barriers to clinical data access for research at Shriners Children's.
• To implement a standardized data access method using Fast Healthcare Interoperability Resources (FHIR).
• To facilitate patient cohort curation for pediatric musculoskeletal disease research.

Main Methods:

• Converted existing data from the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) to FHIR data elements.
• Utilized the OMOP-on-FHIR technology for data standardization.
• Developed applications to leverage FHIR data for patient cohort identification.

Main Results:

• Successfully implemented OMOP-on-FHIR within a large pediatric hospital system.
• Enabled access to clinical data through the standardized FHIR format.
• Created tools that facilitate patient cohort curation for research.

Conclusions:

• The OMOP-on-FHIR implementation significantly decreases data access burdens for clinical research.
• This approach empowers clinicians and researchers by enabling the use of numerous open-source FHIR applications.
• Accelerated advancements in pediatric disease treatment and research are expected due to improved data accessibility.