Fast Healthcare Interoperability Resources (FHIR) as a Meta Model to Integrate Common Data Models: Development of a Tool and Quantitative Validation Study
BackgroundIn a multisite clinical research collaboration, institutions may or may not use the same common data model (CDM) to store clinical data. To overcome this challenge, we proposed to use Health Level 7’s Fast Healthcare Interoperability Resources (FHIR) as a meta-CDM—a single standard to repr...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2019-10-01
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| Series: | JMIR Medical Informatics |
| Online Access: | https://medinform.jmir.org/2019/4/e15199 |
| _version_ | 1818382396343451648 |
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| author | Pfaff, Emily Rose Champion, James Bradford, Robert Louis Clark, Marshall Xu, Hao Fecho, Karamarie Krishnamurthy, Ashok Cox, Steven Chute, Christopher G Overby Taylor, Casey Ahalt, Stan |
| author_facet | Pfaff, Emily Rose Champion, James Bradford, Robert Louis Clark, Marshall Xu, Hao Fecho, Karamarie Krishnamurthy, Ashok Cox, Steven Chute, Christopher G Overby Taylor, Casey Ahalt, Stan |
| author_sort | Pfaff, Emily Rose |
| collection | DOAJ |
| description | BackgroundIn a multisite clinical research collaboration, institutions may or may not use the same common data model (CDM) to store clinical data. To overcome this challenge, we proposed to use Health Level 7’s Fast Healthcare Interoperability Resources (FHIR) as a meta-CDM—a single standard to represent clinical data.
ObjectiveIn this study, we aimed to create an open-source application termed the Clinical Asset Mapping Program for FHIR (CAMP FHIR) to efficiently transform clinical data to FHIR for supporting source-agnostic CDM-to-FHIR mapping.
MethodsMapping with CAMP FHIR involves (1) mapping each source variable to its corresponding FHIR element and (2) mapping each item in the source data’s value sets to the corresponding FHIR value set item for variables with strict value sets. To date, CAMP FHIR has been used to transform 108 variables from the Informatics for Integrating Biology & the Bedside (i2b2) and Patient-Centered Outcomes Research Network data models to fields across 7 FHIR resources. It is designed to allow input from any source data model and will support additional FHIR resources in the future.
ResultsWe have used CAMP FHIR to transform data on approximately 23,000 patients with asthma from our institution’s i2b2 database. Data quality and integrity were validated against the origin point of the data, our enterprise clinical data warehouse.
ConclusionsWe believe that CAMP FHIR can serve as an alternative to implementing new CDMs on a project-by-project basis. Moreover, the use of FHIR as a CDM could support rare data sharing opportunities, such as collaborations between academic medical centers and community hospitals. We anticipate adoption and use of CAMP FHIR to foster sharing of clinical data across institutions for downstream applications in translational research. |
| first_indexed | 2024-12-14T02:49:48Z |
| format | Article |
| id | doaj.art-3fc04befb8cd4413a94c51591256ff3a |
| institution | Directory Open Access Journal |
| issn | 2291-9694 |
| language | English |
| last_indexed | 2024-12-14T02:49:48Z |
| publishDate | 2019-10-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | JMIR Medical Informatics |
| spelling | doaj.art-3fc04befb8cd4413a94c51591256ff3a2022-12-21T23:19:47ZengJMIR PublicationsJMIR Medical Informatics2291-96942019-10-0174e1519910.2196/15199Fast Healthcare Interoperability Resources (FHIR) as a Meta Model to Integrate Common Data Models: Development of a Tool and Quantitative Validation StudyPfaff, Emily RoseChampion, JamesBradford, Robert LouisClark, MarshallXu, HaoFecho, KaramarieKrishnamurthy, AshokCox, StevenChute, Christopher GOverby Taylor, CaseyAhalt, StanBackgroundIn a multisite clinical research collaboration, institutions may or may not use the same common data model (CDM) to store clinical data. To overcome this challenge, we proposed to use Health Level 7’s Fast Healthcare Interoperability Resources (FHIR) as a meta-CDM—a single standard to represent clinical data. ObjectiveIn this study, we aimed to create an open-source application termed the Clinical Asset Mapping Program for FHIR (CAMP FHIR) to efficiently transform clinical data to FHIR for supporting source-agnostic CDM-to-FHIR mapping. MethodsMapping with CAMP FHIR involves (1) mapping each source variable to its corresponding FHIR element and (2) mapping each item in the source data’s value sets to the corresponding FHIR value set item for variables with strict value sets. To date, CAMP FHIR has been used to transform 108 variables from the Informatics for Integrating Biology & the Bedside (i2b2) and Patient-Centered Outcomes Research Network data models to fields across 7 FHIR resources. It is designed to allow input from any source data model and will support additional FHIR resources in the future. ResultsWe have used CAMP FHIR to transform data on approximately 23,000 patients with asthma from our institution’s i2b2 database. Data quality and integrity were validated against the origin point of the data, our enterprise clinical data warehouse. ConclusionsWe believe that CAMP FHIR can serve as an alternative to implementing new CDMs on a project-by-project basis. Moreover, the use of FHIR as a CDM could support rare data sharing opportunities, such as collaborations between academic medical centers and community hospitals. We anticipate adoption and use of CAMP FHIR to foster sharing of clinical data across institutions for downstream applications in translational research.https://medinform.jmir.org/2019/4/e15199 |
| spellingShingle | Pfaff, Emily Rose Champion, James Bradford, Robert Louis Clark, Marshall Xu, Hao Fecho, Karamarie Krishnamurthy, Ashok Cox, Steven Chute, Christopher G Overby Taylor, Casey Ahalt, Stan Fast Healthcare Interoperability Resources (FHIR) as a Meta Model to Integrate Common Data Models: Development of a Tool and Quantitative Validation Study JMIR Medical Informatics |
| title | Fast Healthcare Interoperability Resources (FHIR) as a Meta Model to Integrate Common Data Models: Development of a Tool and Quantitative Validation Study |
| title_full | Fast Healthcare Interoperability Resources (FHIR) as a Meta Model to Integrate Common Data Models: Development of a Tool and Quantitative Validation Study |
| title_fullStr | Fast Healthcare Interoperability Resources (FHIR) as a Meta Model to Integrate Common Data Models: Development of a Tool and Quantitative Validation Study |
| title_full_unstemmed | Fast Healthcare Interoperability Resources (FHIR) as a Meta Model to Integrate Common Data Models: Development of a Tool and Quantitative Validation Study |
| title_short | Fast Healthcare Interoperability Resources (FHIR) as a Meta Model to Integrate Common Data Models: Development of a Tool and Quantitative Validation Study |
| title_sort | fast healthcare interoperability resources fhir as a meta model to integrate common data models development of a tool and quantitative validation study |
| url | https://medinform.jmir.org/2019/4/e15199 |
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