The technical landscape for patient-centered CDS: progress, gaps, and challenges.

clinical decision support patient-centered care, patient-generated health data

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:
11 05 2022
Historique:
received: 29 11 2021
revised: 31 01 2022
accepted: 23 02 2022
pubmed: 10 3 2022
medline: 18 5 2022
entrez: 9 3 2022
Statut: ppublish

Résumé

Supporting healthcare decision-making that is patient-centered and evidence-based requires investments in the development of tools and techniques for dissemination of patient-centered outcomes research findings via methods such as clinical decision support (CDS). This article explores the technical landscape for patient-centered CDS (PC CDS) and the gaps in making PC CDS more shareable, standards-based, and publicly available, with the goal of improving patient care and clinical outcomes. This landscape assessment used: (1) a technical expert panel; (2) a literature review; and (3) interviews with 18 CDS stakeholders. We identified 7 salient technical considerations that span 5 phases of PC CDS development. While progress has been made in the technical landscape, the field must advance standards for translating clinical guidelines into PC CDS, the standardization of CDS insertion points into the clinical workflow, and processes to capture, standardize, and integrate patient-generated health data.

Identifiants

pubmed: 35263437
pii: 6545920
doi: 10.1093/jamia/ocac029
pmc: PMC9093031
doi:

Types de publication

Journal Article Research Support, U.S. Gov't, P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

1101-1105

Subventions

Organisme : Agency for Healthcare Research and Quality (AHRQ), Rockville
ID : HHSP233201500023I

Informations de copyright

© The Author(s) 2022. Published by Oxford University Press on behalf of the American Medical Informatics Association.

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Auteurs

Prashila Dullabh (P)

NORC at the University of Chicago, Bethesda, Maryland, USA.

Krysta Heaney-Huls (K)

NORC at the University of Chicago, Bethesda, Maryland, USA.

David F Lobach (DF)

Elimu Informatics, El Cerrito, California, USA.

Lauren S Hovey (LS)

NORC at the University of Chicago, Bethesda, Maryland, USA.

Shana F Sandberg (SF)

NORC at the University of Chicago, Bethesda, Maryland, USA.

Priyanka J Desai (PJ)

NORC at the University of Chicago, Bethesda, Maryland, USA.

Edwin Lomotan (E)

Center for Evidence and Practice Improvement, Agency for Healthcare Research and Quality, Rockville, Maryland, USA.

James Swiger (J)

Center for Evidence and Practice Improvement, Agency for Healthcare Research and Quality, Rockville, Maryland, USA.

Michael I Harrison (MI)

Center for Evidence and Practice Improvement, Agency for Healthcare Research and Quality, Rockville, Maryland, USA.

Chris Dymek (C)

Center for Evidence and Practice Improvement, Agency for Healthcare Research and Quality, Rockville, Maryland, USA.

Dean F Sittig (DF)

School of Biomedical Informatics, University of Texas Health Science Center, Houston, Texas, USA.

Aziz Boxwala (A)

Elimu Informatics, El Cerrito, California, USA.

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Classifications MeSH