Evidence map›Paper›PMID 26306247›Full record

ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2015

Characterizing Secondary Use of Clinical Data.

E Sally Lee, R Anthony Black, Robert D Harrington, Peter Tarczy-Hornoch, Facmi

Abstract read
PubMed Full text at PMC
In one paragraph

Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Characterizing Basic and Complex Usage of i2b2 at an Academic Medical Center.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2020
    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.

E Sally LeeInstitute of Translational Health Sciences, University of Washington, Seattle, WA.
R Anthony BlackInstitute of Translational Health Sciences, University of Washington, Seattle, WA.
Robert D HarringtonDepartment of Medicine, Harborview Medical Center, University of Washington, Seattle, WA.
Peter Tarczy-HornochInstitute of Translational Health Sciences, University of Washington, Seattle, WA.
FacmiInstitute of Translational Health Sciences, University of Washington, Seattle, WA ; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA ; Department of Pediatrics, University of Washington, Seattle, WA ; Department of Computer Science and Engineering, University of Washington, Seattle, WA.

Funding

Transform Dissemination and Implementation Science in CTSA ProgramsUL1TR002319 · NCATS · UNIVERSITY OF WASHINGTON · PI John K. Amory · 2017 to 2026
$100.0M
Institute of Translational Health SciencesUL1TR000423 · NCATS · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2012 to 2016
$49.4M
University of Washington Biomedical Informatics and Data Science Research Training ProgramT15LM007442 · NLM · UNIVERSITY OF WASHINGTON · PI JOHN H. GENNARI, Andrea L. Hartzler · 2002 to 2026
$19.6M
NCATS NIH HHS UL1 TR000423NCATS NIH HHS UL1 TR002319NLM NIH HHS T15 LM007442
6 · The paper itself

Abstract

The increasing reliance on electronic health data has created new opportunities for the secondary use of clinical data to impact practice. We analyzed the secondary uses of clinical data at the University of Washington (UW) to better understand the types of users and uses as well as the benefits and limitations of these electronic data. At the UW, a diverse population is utilizing different elements of clinical data to conduct a wide· variety of studies. Investigators are using clinical data to explore research questions, determine study feasibility and to reduce the burden of manual chart abstraction. Discovered limitations include difficult-to-use data formatting, researchers' lack of understanding about the data structure and organization resulting in mistrust, and difficulty generalizing data to fit needs of many specialized users.

Identifiers

PMID26306247
PMCPMC4525245

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.