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
Year: 2024
Type: review
Abstract: Objective: 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). Materials and Methods: 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. Results: 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. Discussion and Conclusion: Innovative approaches are needed to ensure patients' and caregivers' voices are meaningfully included to advance PC CDS.
Source: JAMIA Open
Authors: Prashila Dullabh, Rina Dhopeshwarkar, Elizabeth Cope, Nicole Gauthreaux, Courtney Zott, Caroline Peterson, Desirae Leaphart, Sarah Hoyt, Amy Hammer, Sofia Ryan, James Swiger, Edwin A Lomotan, Priyanka Desai, Lauren Adams, Marley Catlett, Kiran Correa, Rachel Dungan, Janna Gordon, Krysta Heaney-Huls, Frances Jiménez, Troi Jones, Sarah Weinberg
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,950
Awards: G5501066824, G5607980668
OpenAlex ID: W4403713386
