“To leverage EHR data interoperability for clinical research purposes, health IT stakeholders should convert data between FHIR and CDISC data standards, according to an implementation guide from CDISC and HL7.”
“The FHIR to CDISC Joint Mapping Implementation Guide defines mappings between HL7’s FHIR standard for healthcare data exchange and three CDISC Standards: CDASH (data collection), SDTM (data tabulation) and LAB (lab data exchange).”
“The guide, available on CDISC and HL7’s websites, is set to help healthcare organizations boost data interoperability for clinical research purposes by streamlining the flow of EHR data to CDISC submission-ready datasets.”
“’This release is a significant milestone as CDISC and HL7 work together toward effectively linking healthcare and research while preserving the meaning and quality of the data,’ Rhonda Facile, CDISC vice president of partnerships and development, said in a public statement.”
“’CDISC has held a long-term vision of more efficient use of real-world data from EHRs as source data for research and augmenting clinical trial data to accelerate clinical research processes for the benefit of us all,’ Facile continued.”
“The implementation guide also supports the creation of case report forms that link to data elements defined using FHIR resources with embedded CDISC variables. This is set to cut the time it takes to collect data and reduce duplicate data-entry to improve data quality and decrease costs, representatives said…” Read the full article here.
Source: Using Health IT Data Standards to Boost Interoperability for Clinical Research – By Hannah Nelson, September 1, 2021. EHR Intelligence.
