Evidence map›Paper›PMID 40267988›Full record

ArticleApplied clinical informatics2025

Engaging Stakeholders Using the Competency Matrix Model: A Framework for Current and Future Health Informaticists.

Elham Rastegari, Joy Doll, Jake Siedlik

Abstract read
In one paragraph

Article in Applied clinical informatics, 2025. 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

3 authors.

Elham RastegariBusiness Intelligence and Analytics, College of Business, Creighton University, Omaha, Nebraska, United States.
Joy DollHealth Informatics, Department of Mathematics, College of Arts and Sciences, Creighton University, Omaha, Nebraska, United States.
Jake SiedlikFlorida Institute for Human and Machine Cognition, University of West Florida, Pensacola, Florida, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aims to explore how health informaticists collaborate with multiple stakeholder groups, each possessing varying levels of comfort and competence with health technology and data. stakeholder engagement is highlighted as a crucial skill for health informaticists, necessitated by the differing competency levels among stakeholders.

methodsThe Competency Matrix Model was identified as a strategic tool to address the challenges faced by health informaticists in navigating the complexities of health information technology utilization. This framework was used to evaluate and enhance the technological competencies of various stakeholders within the health care domain.

resultsThe application of the Competency Matrix Model provides health informaticists with a structured approach to improving stakeholders' technological competencies. This approach facilitates a better understanding and utilization of health information technologies, contributing to improved health care outcomes and operational efficiency.

conclusionThis work demonstrates the applicability of the Competency Matrix Model in the health care domain by health informaticists to enhance the technological competencies of various stakeholders. Through strategic stakeholder engagement and competency development, health informaticists can effectively address the challenges of technology utilization in health care, ensuring a positive impact on health care delivery.

Indexed as

Medical InformaticsModels, TheoreticalProfessional CompetenceStakeholder ParticipationHumans

Identifiers

PMID40267988
PMCPMC12020485

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.