Evidence map›Paper›PMID 28214562›Full record

ArticleJournal of biomedical informatics2017

Leveraging health informatics to foster a smart systems response to health disparities and health equity challenges.

Timothy Jay Carney, Amanda Y Kong

Abstract read
In one paragraph

Article in Journal of biomedical informatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Influential Usage of Big Data and Artificial Intelligence in Healthcare.Computational and mathematical methods in medicine · 2021
    Review
  5. Article
  6. Article
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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

2 authors.

Timothy Jay CarneyUniversity of North Carolina, The Gillings School of Global Public Health, 1101-C McGavran-Greenberg Bldg., CB 7411, Chapel Hill, NC 27599-7411, United States. Electronic address: tcarney@unc.edu.
Amanda Y KongUniversity of North Carolina, The Gillings School of Global Public Health, Department of Health Behavior, 302 Rosenau Hall, CB #7440, Chapel Hill, NC 27599-7411, United States. Electronic address: akong2@live.unc.edu.

Funding

Training ProgramU54CA153602 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GODLEY, PAUL A. · 2010 to 2015
$5.4M
Cancer Health Disparities Training ProgramT32CA128582 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SMITH, JENNIFER SUSAN, TATE, DEBORAH F. · 2009 to 2023
$3.4M
NCI NIH HHS T32 CA128582NCI NIH HHS U54 CA153602
6 · The paper itself

Abstract

Informaticians are challenged to design health information technology (IT) solutions for complex problems, such as health disparities, but are achieving mixed results in demonstrating a direct impact on health outcomes. This presentation of collective intelligence and the corresponding terms of smart health, knowledge ecosystem, enhanced health disparities informatics capacities, knowledge exchange, big-data, and situational awareness are a means of demonstrating the complex challenges informatics professionals face in trying to model, measure, and manage an intelligent and smart systems response to health disparities. A critical piece in our understanding of collective intelligence for public and population health rests in our understanding of public and population health as a living and evolving network of individuals, organizations, and resources. This discussion represents a step in advancing the conversation of what a smart response to health disparities should represent and how informatics can drive the design of intelligent systems to assist in eliminating health disparities and achieving health equity.

Indexed as

Health EquityMedical InformaticsHumansHealth disparitiesHealth inequitiesKnowledge exchangeLearning health systemPopulation healthSmart healthTechnology assessment

Identifiers

PMID28214562
PMCPMC11407115

What OpenQuestion holds

Textmetadata
LicenceTDM
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.