A research agenda to support the development and implementation of genomics-based clinical informatics tools and resources.
clinical decision support systems
clinical informatics
genomics
Journal
Journal of the American Medical Informatics Association : JAMIA
ISSN: 1527-974X
Titre abrégé: J Am Med Inform Assoc
Pays: England
ID NLM: 9430800
Informations de publication
Date de publication:
12 07 2022
12 07 2022
Historique:
received:
17
12
2021
revised:
22
02
2022
accepted:
08
04
2022
pubmed:
30
4
2022
medline:
15
7
2022
entrez:
29
4
2022
Statut:
ppublish
Résumé
The Genomic Medicine Working Group of the National Advisory Council for Human Genome Research virtually hosted its 13th genomic medicine meeting titled "Developing a Clinical Genomic Informatics Research Agenda". The meeting's goal was to articulate a research strategy to develop Genomics-based Clinical Informatics Tools and Resources (GCIT) to improve the detection, treatment, and reporting of genetic disorders in clinical settings. Experts from government agencies, the private sector, and academia in genomic medicine and clinical informatics were invited to address the meeting's goals. Invitees were also asked to complete a survey to assess important considerations needed to develop a genomic-based clinical informatics research strategy. Outcomes from the meeting included identifying short-term research needs, such as designing and implementing standards-based interfaces between laboratory information systems and electronic health records, as well as long-term projects, such as identifying and addressing barriers related to the establishment and implementation of genomic data exchange systems that, in turn, the research community could help address. Discussions centered on identifying gaps and barriers that impede the use of GCIT in genomic medicine. Emergent themes from the meeting included developing an implementation science framework, defining a value proposition for all stakeholders, fostering engagement with patients and partners to develop applications under patient control, promoting the use of relevant clinical workflows in research, and lowering related barriers to regulatory processes. Another key theme was recognizing pervasive biases in data and information systems, algorithms, access, value, and knowledge repositories and identifying ways to resolve them.
Identifiants
pubmed: 35485600
pii: 6575869
doi: 10.1093/jamia/ocac057
pmc: PMC9277642
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
1342-1349Subventions
Organisme : NHGRI NIH HHS
ID : U01 HG010225
Pays : United States
Informations de copyright
Published by Oxford University Press on behalf of the American Medical Informatics Association 2022. This work is written by US Government employees and is in the public domain in the US.
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