Evidence map›Paper›PMID 41701949›Full record

ArticleCritical care explorations2026

A Framework and Method for Measuring the Implementation of Data Science in Critical Care.

Daniel Woznica, Tamara Al-Hakim, Vishakha K Kumar, J Perren Cobb, Rishikesan Kamaleswaran, Ashish K Khanna, Krzysztof Laudanski, Jerry J Zimmerman, Karin Reuter-Rice

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Article in Critical care explorations, 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

9 authors.

Daniel WoznicaSociety of Critical Care Medicine, Mount Prospect, IL.
Tamara Al-HakimSociety of Critical Care Medicine, Mount Prospect, IL.
Vishakha K KumarSociety of Critical Care Medicine, Mount Prospect, IL.
J Perren CobbDivision of Trauma, Emergency Surgery and Surgical Critical Care, Department of Surgery, University of Southern California, Los Angeles, CA.
Rishikesan KamaleswaranDepartment of Biomedical Informatics, Duke University, Durham, NC.
Ashish K KhannaDepartment of Anesthesiology, Section on Critical Care Medicine, Atrium Health Wake Forest Baptist Medical Center, Wake Forest School of Medicine, Winston-Salem, NC.
Krzysztof LaudanskiDepartment of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN.
Jerry J ZimmermanDivision of Pediatric Critical Care Medicine, Department of Pediatrics, University of Washington, Seattle, WA.
Karin Reuter-RiceDepartment of Biomedical Informatics, Duke University, Durham, NC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe implementation of data science concepts, skills, and tools in critical care research and practice faces multiple, complex barriers.

methodsWe developed an implementation science-based framework and method for measuring the adoption, implementation, and sustainment of data science concepts, skills, and tools in critical care-the Society of Critical Care Medicine (SCCM) Discovery Data Science Campaign (DSC) Implementation Research Logic Model (IRLM). Our IRLM specifies constructs for: 1) key determinants (i.e., barriers and facilitators) influencing the implementation of data science concepts, skills, and tools in critical care; 2) implementation strategies deployed by the SCCM Discovery DSC to address these determinants; 3) theorized mechanisms of action by which these strategies affect outcomes; and 4) upstream and downstream implementation outcomes influenced by implementation strategies. RESULTS AND

conclusionsWe believe that our model can facilitate more rigorous measurement of theoretically grounded, empirically assessable factors driving implementation of data science concepts, skills, and tools in critical care.

Indexed as

Critical CareData ScienceImplementation ScienceHumanscritical caredata scienceimplementation sciencemethodsmodelstheoretical

Identifiers

PMID41701949
PMCPMC12915721

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.