Evidence map›Paper›PMID 42465626›Full record

ArticleFrontiers in public health2026

Preparing a technologically savvy public health workforce: an academic-industry partnership.

Michelle Y Ke, Kai Zheng, Tim Bruckner, Margaret Schneider

Abstract read
In one paragraph

Article in Frontiers in public health, 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

4 authors.

Michelle Y KeInstitute for Clinical & Translational Science, University of California, Irvine, Irvine, CA, United States.
Kai ZhengDonald Bren School of Information and Computer Sciences, University of California, Irvine, Irvine, CA, United States.
Tim BrucknerJoe C. Wen School of Population & Public Health, University of California, Irvine, Irvine, CA, United States.
Margaret SchneiderInstitute for Clinical & Translational Science, University of California, Irvine, Irvine, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To realize the potential of using information technology (IT) and data to inform public health, it is critical that the US dedicates resources to preparing a robust workforce skilled in leveraging IT, informatics, and data science towards the advancement of public health. In the wake of the COVID-19 pandemic, several innovative educational partnerships have emerged to fulfill this mission. In this paper, we present indicators of the successful implementation of an academic-industry partnership. Methods: Students enrolled in the Public Health Informatics & Technology (PHIT) program completed surveys and interviews during and immediately following participation in a paid Health Informatics internship embedded within the program. Data were summarized annually and used to refine implementation of the PHIT internship. Results: PHIT internships were hosted primarily by non-profit (53%) and health IT (22%) organizations. Over 4 years, 149 students completed the summer internship program (79% female, 21% Hispanic, 57% first-generation college students). Satisfaction with the program was high, and students' satisfaction with positive aspects of the internship remained stable over time and concerns about negative aspects of the internship decreased over time ( Discussion: The PHIT program successfully integrated training efforts across two academic disciplines (Informatics and Public Health) and industry partnerships. The program has yielded several cohorts of trained professionals ready to enter the public health workforce proficient at applying analytic methods to large health datasets. Improvements over time in students' evaluations of the internship demonstrated the value of ongoing program evaluation with timely feedback provided to program managers.

Indexed as

Education, Public Health ProfessionalPublic HealthPublic Health InformaticsCOVID-19FemaleHumansMaleSARS-CoV-2Surveys and QuestionnairesUnited Statesdigital public healthhealth informatics competenciesinformatics workforceprogram evaluationpublic health educationpublic health workforce developmentworkforce development and training

Identifiers

PMID42465626
PMCPMC13372960

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.