Evidence map›Paper›PMID 34279631›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2021

Patient-led data sharing for clinical bioinformatics research: USCDI and beyond.

William J Gordon, Daniel Gottlieb, David Kreda, Joshua C Mandel, Kenneth D Mandl, Isaac S Kohane

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.

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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. 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

6 authors.

William J GordonDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
Daniel GottliebDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
David KredaDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
Joshua C MandelDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
Kenneth D MandlDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
Isaac S KohaneDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.

Funding

Technology to Empower Changes in Health (TECH) Network Participant Technologies CenterU24OD023176 · OD · SCRIPPS RESEARCH INSTITUTE, THE · PI TOPOL, ERIC JEFFREY · 2016 to 2022
$204.7M
NIH HHS U24 OD023176NIH HHS U24OD023176
6 · The paper itself

Abstract

The 21st Century Cures Act, passed in 2016, and the Final Rules it called for create a roadmap for enabling patient access to their electronic health information. The set of data to be made available, as determined by the Office of the National Coordinator for Health IT through the US Core Data for Interoperability expansion process, will impact the value creation of this improved data liquidity. In this commentary, we look at the potential for significant value creation from USCDI in the context of clinical bioinformatics research and advocate for the research community's involvement in the USCDI process to propel this value creation forward. We also describe 1 mechanism-using existing required APIs for full data export capabilities-that could pragmatically enable this value creation at minimal additional technical lift beyond the current regulatory requirements.

Indexed as

Computational BiologyInformation DisseminationElectronic Health RecordsHumanselectronic health recordsFHIRinteroperability

Identifiers

PMID34279631
PMCPMC8449625

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.