Evidence map›Paper›PMID 41835949›Full record

ReviewHealth affairs scholar2026

Standardized clinical assessment and management plans revisited: lessons learned from a decade of implementation.

Michael Farias, Peta Alexander, Jeffrey Geppert, Paige Glavin, Jessily Ramirez-Mendoza, Paul Casale, Kathy Jenkins

Abstract readReview
In one paragraph

Review in Health affairs scholar, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Michael FariasDepartment of Cardiology, Boston Children's Hospital and Department of Pediatrics, Harvard Medical School, Boston, MA 02115, United States.ORCID https://orcid.org/0000-0002-4770-8116
Peta AlexanderDepartment of Cardiology, Boston Children's Hospital and Department of Pediatrics, Harvard Medical School, Boston, MA 02115, United States.ORCID https://orcid.org/0000-0003-4837-7598
Jeffrey GeppertHealth Business Unit, Battelle Memorial Institute, Columbus, OH 43201, United States.ORCID https://orcid.org/0009-0002-6988-2403
Paige GlavinHealth Affairs, Boston Children's Hospital, Boston, MA 02115, United States.
Jessily Ramirez-MendozaHealth Affairs, Boston Children's Hospital, Boston, MA 02115, United States.ORCID https://orcid.org/0000-0003-3215-5771
Paul CasaleDepartments of Medicine and Population Health Sciences, Weill Cornell Medical College, New York, NY 10065, United States.ORCID https://orcid.org/0009-0007-4382-2732
Kathy JenkinsDepartment of Cardiology, Boston Children's Hospital and Department of Pediatrics, Harvard Medical School, Boston, MA 02115, United States.ORCID https://orcid.org/0000-0002-8702-988X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Originally introduced in Methods: We conducted a structured historical review of more than 40 peer-reviewed publications describing SCAMPs development, implementation, evaluation, and iterative refinement. The review synthesizes reported experiences across clinical domains, settings, and study designs, and is intended as a descriptive, perspective-oriented assessment rather than a formal systematic review. Results: Published SCAMPs reports describe broad deployment across diverse conditions and institutions, with recurrent findings of reduced practice variation, changes in resource utilization, iterative pathway refinement, and high reported adherence among participating clinicians. The literature also reflects important limitations, including heterogeneity of study designs, limited evaluation of harms, equity, patient-reported outcomes, and implementation burden, and likely underrepresentation of unsuccessful implementations. Early reliance on paper-based workflows constrained scalability and consistency of use. Conclusion: This perspective synthesizes the published SCAMPs experience, highlighting reported benefits alongside implementation conditions, risks, and limitations. SCAMPs are best understood as a clinician-led methodology whose value is conditional on governance, analytic capacity, patient safety oversight, and attention to equity. Emerging informatics standards and artificial intelligence tools may enhance scalability and learning, but require careful governance to avoid amplifying bias or harm.

Indexed as

artificial intelligence in health carecare standardizationclinical decision supporthealth information technologylearning health systemsstandardized clinical assessment and management plans (SCAMPs)value-based care

Identifiers

PMID41835949
PMCPMC12982919

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.