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ResearchMatch on FHIR: Development and evaluation of a recruitment registry and electronic health record system interface for volunteer profile completion
BACKGROUND: Obtaining complete and accurate information in recruitment registries is essential for matching potential participants to research studies for which they qualify. Since electronic health record (EHR) systems are required to make patient data available to external systems, an interface be...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10643912/ https://www.ncbi.nlm.nih.gov/pubmed/38028340 http://dx.doi.org/10.1017/cts.2023.654 |
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author | Cheng, Alex C. Dunkel, Leah Byrne, Loretta M. Tischbein, Maeve Burts, Delicia Hamilton, Jahi Phillips, Kaysi Embry, Bryce Tan, Jason Olson, Erik Harris, Paul A. |
author_facet | Cheng, Alex C. Dunkel, Leah Byrne, Loretta M. Tischbein, Maeve Burts, Delicia Hamilton, Jahi Phillips, Kaysi Embry, Bryce Tan, Jason Olson, Erik Harris, Paul A. |
author_sort | Cheng, Alex C. |
collection | PubMed |
description | BACKGROUND: Obtaining complete and accurate information in recruitment registries is essential for matching potential participants to research studies for which they qualify. Since electronic health record (EHR) systems are required to make patient data available to external systems, an interface between EHRs and recruitment registries may improve accuracy and completeness of volunteers’ profiles. We tested this hypothesis on ResearchMatch (RM), a disease- and institution-neutral recruitment registry with 1357 studies across 255 institutions. METHODS: We developed an interface where volunteers signing up for RM can authorize transfer of demographic data, medical conditions, and medications from the EHR into a registration form. We obtained feedback from a panel of community members to determine acceptability of the planned integration. We then developed the EHR interface and performed an evaluation study of 100 patients to determine whether RM profiles generated with EHR-assisted adjudication included more conditions and medications than those without the EHR connection. RESULTS: Community member feedback revealed that members of the public were willing to authenticate into the EHR from RM with proper messaging about choice and privacy. The evaluation study showed that out of 100 participants, 75 included more conditions and 69 included more medications in RM profiles completed with the EHR connection than those without. Participants also completed the EHR-connected profiles in 16 fewer seconds than non-EHR-connected profiles. CONCLUSIONS: The EHR to RM integration could lead to more complete profiles, less participant burden, and better study matches for many of the over 148,000 volunteers who participate in ResearchMatch. |
format | Online Article Text |
id | pubmed-10643912 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-106439122023-10-13 ResearchMatch on FHIR: Development and evaluation of a recruitment registry and electronic health record system interface for volunteer profile completion Cheng, Alex C. Dunkel, Leah Byrne, Loretta M. Tischbein, Maeve Burts, Delicia Hamilton, Jahi Phillips, Kaysi Embry, Bryce Tan, Jason Olson, Erik Harris, Paul A. J Clin Transl Sci Research Article BACKGROUND: Obtaining complete and accurate information in recruitment registries is essential for matching potential participants to research studies for which they qualify. Since electronic health record (EHR) systems are required to make patient data available to external systems, an interface between EHRs and recruitment registries may improve accuracy and completeness of volunteers’ profiles. We tested this hypothesis on ResearchMatch (RM), a disease- and institution-neutral recruitment registry with 1357 studies across 255 institutions. METHODS: We developed an interface where volunteers signing up for RM can authorize transfer of demographic data, medical conditions, and medications from the EHR into a registration form. We obtained feedback from a panel of community members to determine acceptability of the planned integration. We then developed the EHR interface and performed an evaluation study of 100 patients to determine whether RM profiles generated with EHR-assisted adjudication included more conditions and medications than those without the EHR connection. RESULTS: Community member feedback revealed that members of the public were willing to authenticate into the EHR from RM with proper messaging about choice and privacy. The evaluation study showed that out of 100 participants, 75 included more conditions and 69 included more medications in RM profiles completed with the EHR connection than those without. Participants also completed the EHR-connected profiles in 16 fewer seconds than non-EHR-connected profiles. CONCLUSIONS: The EHR to RM integration could lead to more complete profiles, less participant burden, and better study matches for many of the over 148,000 volunteers who participate in ResearchMatch. Cambridge University Press 2023-10-13 /pmc/articles/PMC10643912/ /pubmed/38028340 http://dx.doi.org/10.1017/cts.2023.654 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided that no alterations are made and the original article is properly cited. The written permission of Cambridge University Press must be obtained prior to any commercial use and/or adaptation of the article. |
spellingShingle | Research Article Cheng, Alex C. Dunkel, Leah Byrne, Loretta M. Tischbein, Maeve Burts, Delicia Hamilton, Jahi Phillips, Kaysi Embry, Bryce Tan, Jason Olson, Erik Harris, Paul A. ResearchMatch on FHIR: Development and evaluation of a recruitment registry and electronic health record system interface for volunteer profile completion |
title | ResearchMatch on FHIR: Development and evaluation of a recruitment registry and electronic health record system interface for volunteer profile completion |
title_full | ResearchMatch on FHIR: Development and evaluation of a recruitment registry and electronic health record system interface for volunteer profile completion |
title_fullStr | ResearchMatch on FHIR: Development and evaluation of a recruitment registry and electronic health record system interface for volunteer profile completion |
title_full_unstemmed | ResearchMatch on FHIR: Development and evaluation of a recruitment registry and electronic health record system interface for volunteer profile completion |
title_short | ResearchMatch on FHIR: Development and evaluation of a recruitment registry and electronic health record system interface for volunteer profile completion |
title_sort | researchmatch on fhir: development and evaluation of a recruitment registry and electronic health record system interface for volunteer profile completion |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10643912/ https://www.ncbi.nlm.nih.gov/pubmed/38028340 http://dx.doi.org/10.1017/cts.2023.654 |
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