Evidence map›Paper›PMID 41726523›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2024

Data Modernization in Action: Synthesizing Pioneering Informatics Projects in Public Health and Data Modernization Stories from Public Health Agencies.

Chanhee Kim, Aasa Dahlberg Schmit, Sarah Solarz, Sripriya Rajamani

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2024. 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.

Chanhee KimSchool of Nursing, University of Minnesota, Minneapolis, MN.
Aasa Dahlberg SchmitHLN Consulting LLC, Mission Viejo, CA.
Sarah SolarzMinnesota Department of Health, St. Paul, MN.
Sripriya RajamaniSchool of Nursing, University of Minnesota, Minneapolis, MN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With data considered as the 'oxygen' of public health, the Data Modernization Initiative (DMI) to enhance the public health data and information infrastructure is critical. The DMI Stories from the Field features data modernization from public health agencies to highlight success/progress. These stories (n=241) were analyzed, with outbreak response, information systems capacity, epidemiology/laboratory capacity being some of the common topics. A total of 199 codes across DMI stories were organized into 7 themes and the top 3 codes were communication, collaboration and public health agencies. Key takeaways and next steps were identified and validated with expert input across people, product, process and partnership categories and people factor was critical along with funding/sustainability. Ongoing DMI stories and future studies for evaluating impact are recommended. DMI stories are a great option to communicate the projects and impact of DMI to a larger public audience and garner support for this vital endeavor.

Indexed as

Public HealthPublic Health InformaticsCommunicationHumansPublic Health Infrastructure

Identifiers

PMID41726523
PMCPMC12919559

What OpenQuestion 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 OpenQuestion graph.