Evidence map›Paper›PMID 41560986›Full record

ArticleLearning health systems2026

Structuring Collaboration Between Researchers and Operational Innovators: Diffusing New Practices Across the Veteran's Administration Healthcare System.

Sudha R Raman, Jennifer M Gierisch, Miriam A Kirshner, Kristopher R Teague, Jaifred Christian F Lopez, Blake Henderson, Ryan J Vega, Beth Ripley, Amy M Kilbourne, George L Jackson

Abstract read
In one paragraph

Article in Learning health systems, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Sudha R RamanDepartment of Population Health Sciences Duke University School of Medicine Durham North Carolina USA.ORCID https://orcid.org/0000-0001-8659-189X
Jennifer M GierischDepartment of Population Health Sciences Duke University School of Medicine Durham North Carolina USA.
Miriam A KirshnerCenter of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Health Care System Durham North Carolina USA.
Kristopher R TeagueOffice of Healthcare Innovation and Learning (OHIL), Veterans Health Administration (VHA) Washington DC USA.
Jaifred Christian F LopezDepartment of Population Health Sciences Duke University School of Medicine Durham North Carolina USA.ORCID https://orcid.org/0000-0002-8273-992X
Blake HendersonOffice of Healthcare Innovation and Learning (OHIL), Veterans Health Administration (VHA) Washington DC USA.
Ryan J VegaOffice of Healthcare Innovation and Learning (OHIL), Veterans Health Administration (VHA) Washington DC USA.
Beth RipleyOffice of Healthcare Innovation and Learning (OHIL), Veterans Health Administration (VHA) Washington DC USA.
Amy M KilbourneOffice of Research and Development, Veterans Health Administration (VHA) Washington DC USA.
George L JacksonCenter of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Health Care System Durham North Carolina USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: To support a learning health system, we aimed to develop processes and tools to enable collaboration between the Veterans Health Administration (VHA) operations and research sectors in the implementation of promising healthcare innovations. Methods: The collaboration process involved: (1) holding foundational partnership meetings between operations and health research sector leadership (2) reviewing existing research-operations collaborations frameworks, (3) developing a framework with criteria for systematically categorizing innovations into defined pathways that integrate research and operational considerations, and (4) adapting known participatory approaches to collect information for productive collaboration. Clearly delineating the skills, goals, and perspectives of the innovation and research sectors during partnership meetings enabled assessment of the value and trade-offs of advancing an innovation into practice. The literature review of existing frameworks yielded heterogeneous objectives, domains, and criteria for evaluation. Across framework domains, commonalities (e.g., alignment with institutional goals), differences (e.g., attention to sustainment), and gaps (e.g., health equity focus) were noted. We developed five research-innovation partnership pathways and criteria to vet and categorize potential innovations (i.e., evidence for effectiveness and implementation, risks, equity, feasibility, and sustainability). We developed a menu of participatory processes to elicit feedback on innovations. Results: We applied this process with an innovation to refine and evaluate the process, pathways, and criteria. Surveys of diverse partners (clinicians, administrators, researchers) ranked the innovation using our developed criteria, and placed the innovation on a pathway, which then helped guide next steps for evaluating the innovations. Overall, the process was feasible. We were able to categorize and plan next steps for promising innovations. Conclusion: This theoretically grounded, iterative process may serve as a blueprint to accelerate the implementation of healthcare innovations. Through these intentional and participatory processes to engage operations innovators and health services researchers we can speed the delivery of promising innovations that impact patient care.

Indexed as

biomedicalcommunity based participatory researchdelivery of health carediffusion of innovationevidence‐based practicelearning health systemquality improvementtranslational researchveterans

Identifiers

PMID41560986
PMCPMC12812486

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.