Evidence map›Paper›PMID 33749793›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2021

Meeting the challenge: Health information technology's essential role in achieving precision medicine.

Teresa Zayas-Cabán, Kevin J Chaney, Courtney C Rogers, Joshua C Denny, P Jon White

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Digital health in chronic obstructive pulmonary disease.Chronic diseases and translational medicine · 2023
    Review
  6. Article
  7. Priorities to accelerate workflow automation in health care.Journal of the American Medical Informatics Association : JAMIA · 2022
    Review
  8. Article
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.

Teresa Zayas-CabánOffice of the National Coordinator for Health Information Technology, U.S. Department of Health and Human Services, Washington, DC, USA.
Kevin J ChaneyOffice of the National Coordinator for Health Information Technology, U.S. Department of Health and Human Services, Washington, DC, USA.
Courtney C RogersDepartment of Engineering Systems and Environment, University of Virginia, Charlottesville, Virginia, USA.
Joshua C DennyAll of Us Research Program, National Institutes of Health, Bethesda, Maryland, USA.
P Jon WhiteVeterans Affairs Salt Lake City Health Care System, Salt Lake City, Utah, USA.

Funding

Improving precision health approaches through large-scale EHRs and biobanksZIAHG200417 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI DENNY, JOSHUA · 2022 to 2024
$4.2M
6 · The paper itself

Abstract

Precision medicine can revolutionize health care by tailoring treatments to individual patient needs. Advancing precision medicine requires evidence development through research that combines needed data, including clinical data, at an unprecedented scale. Widespread adoption of health information technology (IT) has made digital clinical data broadly available. These data and information systems must evolve to support precision medicine research and delivery. Specifically, relevant health IT data, infrastructure, clinical integration, and policy needs must be addressed. This article outlines those needs and describes work the Office of the National Coordinator for Health Information Technology is leading to improve health IT through pilot projects and standards and policy development. The Office of the National Coordinator for Health Information Technology will build on these efforts and continue to coordinate with other key stakeholders to achieve the vision of precision medicine. Advancement of precision medicine will require ongoing, collaborative health IT policy and technical initiatives that advance discovery and transform healthcare delivery.

Indexed as

Medical InformaticsPrecision MedicineDelivery of Health CareHumansdatahealth information technologypolicyprecision medicinestandards

Identifiers

PMID33749793
PMCPMC8263078

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.