Advancing patient-centered clinical decision support in today's health care ecosystem: key themes from the Clinical Decision Support Innovation Collaborative's 2023 Annual Meeting.

clinical decision support systems patient-centered care value-based health care

Journal

JAMIA open
ISSN: 2574-2531
Titre abrégé: JAMIA Open
Pays: United States
ID NLM: 101730643

Informations de publication

Date de publication:
Dec 2024
Historique:
received: 08 01 2024
revised: 27 08 2024
accepted: 04 10 2024
medline: 24 10 2024
pubmed: 24 10 2024
entrez: 24 10 2024
Statut: epublish

Résumé

This perspective summarizes key themes that arose from stakeholder discussions at the inaugural Clinical Decision Support Innovation Collaborative (CDSiC) 2023 Annual Meeting. The CDSiC is an Agency for Healthcare Research and Quality (AHRQ)-funded innovation hub for patient-centered clinical decision support (PC CDS). The meeting took place on May 16-17, 2023, and engaged 73 participants that represented a range of stakeholder groups including researchers, informaticians, federal representatives, clinicians, patients, and electronic health record developers. Each meeting session was recorded and had 2 notetakers. CDSiC leadership analyzed the compiled meeting notes to synthesize key themes. Participants discussed 7 key opportunities to advance PC CDS: (1) establish feedback loops between patients and clinicians; (2) develop new workflows; (3) expand the evidence base; (4) adapt the CDS Five Rights for the patient perspective; (5) advance health equity; (6) explore perceptions on the use of artificial intelligence; and (7) encourage widespread use and scalability of PC CDS. Innovative approaches are needed to ensure patients' and caregivers' voices are meaningfully included to advance PC CDS.

Identifiants

pubmed: 39445034
doi: 10.1093/jamiaopen/ooae109
pii: ooae109
pmc: PMC11498195
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

ooae109

Investigateurs

Lauren Adams (L)
Marley Catlett (M)
Kiran Correa (K)
Rachel Dungan (R)
Janna Gordon (J)
Krysta Heaney-Huls (K)
Frances Jiménez (F)
Troi Jones (T)
Sarah Weinberg (S)

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of the American Medical Informatics Association.

Déclaration de conflit d'intérêts

No authors have any competing interests to declare aside from the stated affiliation of each author with his/her employer. The perspectives expressed in this paper are those of the authors and do not necessarily represent the official position of the Agency for Healthcare Research and Quality or the U.S. Department of Health and Human Services.

Auteurs

Prashila Dullabh (P)

Health Sciences Department, NORC at the University of Chicago, Bethesda, MD 20814, United States.

Rina Dhopeshwarkar (R)

Health Sciences Department, NORC at the University of Chicago, Bethesda, MD 20814, United States.

Elizabeth Cope (E)

AcademyHealth, Washington, DC 20006, United States.

Nicole Gauthreaux (N)

Health Sciences Department, NORC at the University of Chicago, Bethesda, MD 20814, United States.

Courtney Zott (C)

Health Sciences Department, NORC at the University of Chicago, Bethesda, MD 20814, United States.

Caroline Peterson (C)

Health Sciences Department, NORC at the University of Chicago, Bethesda, MD 20814, United States.

Desirae Leaphart (D)

Health Sciences Department, NORC at the University of Chicago, Bethesda, MD 20814, United States.

Sarah Hoyt (S)

AcademyHealth, Washington, DC 20006, United States.

Amy Hammer (A)

AcademyHealth, Washington, DC 20006, United States.

Sofia Ryan (S)

Health Sciences Department, NORC at the University of Chicago, Bethesda, MD 20814, United States.

James Swiger (J)

Center for Evidence and Practice Improvement, Agency for Healthcare Research and Quality, Rockville, MD 20857, United States.

Edwin A Lomotan (EA)

Center for Evidence and Practice Improvement, Agency for Healthcare Research and Quality, Rockville, MD 20857, United States.

Priyanka Desai (P)

Health Sciences Department, NORC at the University of Chicago, Bethesda, MD 20814, United States.

Classifications MeSH