Evidence map›Paper›PMID 39402538›Full record

ArticleBMC proceedings2024

Ethical use of big data for healthy communities and a strong nation: unique challenges for the Military Health System.

Tracey Perez Koehlmoos, Jessica Korona-Bailey, Jared Elzey, Brandeis Marshall, Lea A Shanley

Abstract read
In one paragraph

Article in BMC proceedings, 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

5 authors.

Tracey Perez KoehlmoosUniformed Services University of the Health Sciences, 4301 Jones Bridge Road, Bethesda, MD, 20814, USA.
Jessica Korona-BaileyUniformed Services University of the Health Sciences, 4301 Jones Bridge Road, Bethesda, MD, 20814, USA. Jessica.korona.ctr@usuhs.edu.
Jared ElzeyNurture the Next, 600 Hill Ave, Suite 202, Nashville, TN, 37210, USA.
Brandeis MarshallDataedX Group, Smyrna, GA, USA.
Lea A ShanleyInternational Computer Science Institute, 2150 Shattuck Ave Suite 250, Berkley, CA, 94704, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advances in artificial intelligence (AI) created powerful tools for research, particularly for extracting meaningful insights from extremely large data sets. These developments increase research benefits of big data and risks posed to individual privacy, forcing a re-examination of ethics in research which is of particular importance to the Military Health System. To advance discussion of research ethics in this context, the Forum on Health and National Security: Ethical Use of Big Data for Healthy Communities and a Strong Nation was held in December 2018. The workshop was designed to identify ethical questions relevant to population and health research studies using difficult to access, health-related data in the Department of Defense (DoD). Discussions explored researchers' ethical obligations to research subjects, particularly in the areas of privacy, trust, and consent, as well as potential methods to improve researchers' ability to collect, access, and share data while protecting privacy and potential risks to national security. These include creating risk management frameworks and data governance policies, improving education and workplace training, and increasing community involvement in research design and practice. While the workshop was conducted in 2018, the discussion of data ethics is still relevant today. The research agenda of the nation is best served by building ethics into the research ecosystem. There are substantial challenges to fully realizing this goal including commitments of time and funding to address the ethical complexities, train others to understand them, and create appropriate ethical frameworks before research begins.

Indexed as

Big DataEthicsMilitary Health System

Identifiers

PMID39402538
PMCPMC11475531

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.