Evidence map›Paper›PMID 42317830›Full record

ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2026

The Maturity of Maturity Models in Health Care and Informatics.

Adam Wilcox, David A Dorr, Boyd Knosp, Robin Champieux, William Barnett, Nick Anderson, Justin Starren, Jodyn Platt, Ashish Vaidyanathan, Peter J Embí

Abstract read
In one paragraph

Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 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

10 authors.

Adam WilcoxWashington University in St Louis.
David A DorrOregon Heath & Sciences University.
Boyd KnospUniversity of Iowa.
Robin ChampieuxOregon Heath & Sciences University.
William BarnettHarvard University.
Nick AndersonUniversity of California - Davis.
Justin StarrenUniversity of Arizona Health Sciences.
Jodyn PlattUniversity of Michigan Medical School.
Ashish VaidyanathanWashington University in St Louis.
Peter J EmbíVanderbilt University Medical Center.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maturity models can be used to assess organizational capability in specific areas. Over the past decade, maturity model use has increased along with the development of maturity models for many specific areas related to health care informatics. A challenge in the use and development of maturity models is understanding what makes a model functional, which can be considered the "maturity" of the model. We developed a meta-maturity model for assessing models, and evaluated it by applying it to models that have been developed and used in areas related to health care and informatics. The distribution of models across this meta-maturity model shows that there is wide variation of model effectiveness. The application of this meta-maturity model can help individuals and organizations choose the most appropriate models, and can also assist those who are developing models to consider how models can be improved.

Identifiers

PMID42317830
PMCPMC13274278

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.