Evidence map›Paper›PMID 30815112›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2018

Integration of Clinical Decision Support and Electronic Clinical Quality Measurement: Domain Expert Insights and Implications for Future Direction.

Polina Kukhareva, Charlene R Weir, Catherine Staes, Damian Borbolla, Stacey Slager, Kensaku Kawamoto

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. 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.

Polina KukharevaDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.
Charlene R WeirDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.
Catherine StaesDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.
Damian BorbollaDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.
Stacey SlagerDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.
Kensaku KawamotoDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.

Funding

Utah Center for Clinical and Translational ScienceUL1TR002538 · NCATS · UNIVERSITY OF UTAH · PI HESS, RACHEL, MAJERSIK, JENNIFER JUHL · 2018 to 2022
$26.0M
NCATS NIH HHS UL1 TR002538
6 · The paper itself

Abstract

The integration of clinical decision support (CDS) and electronic clinical quality measurement (eCQM) could help improve consistency, reduce redundancy, and ultimately help improve value. To guide efforts in this area, 15 leading experts in CDS and eCQM were interviewed to obtain insights on how CDS and eCQM could be better integrated. Four main themes emerged: cultural and business considerations for CDS, eCQM, and their integration trump the technical considerations; the purpose and goals of CDS and eCQM differ, and these differences must be accounted for; there is an oftentimes invisible overlap between CDS and eCQM, and with the larger domain of quality improvement; and despite the differences, synergies between CDS and eCQM should be pursued to amplify the effectiveness of each approach. A key implication of these findings is the need to bridge cultural and business differences between CDS and eCQM, with informaticists potentially playing a critical role.

Indexed as

Decision Support Systems, ClinicalQuality Indicators, Health CareAttitude of Health PersonnelHumansInterviews as TopicQualitative ResearchQuality Improvement

Identifiers

PMID30815112
PMCPMC6371250

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.