Evidence map›Paper›PMID 32181803›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2020

Identified themes of interactive visualizations overlayed onto EHR data: an example of improving birth center operating room efficiency.

Andrew Stirling, Tracy Tubb, Emily S Reiff, Chad A Grotegut, Jennifer Gagnon, Weiyi Li, Gail Bradley, Eric G Poon, Benjamin A Goldstein

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In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2020. 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. 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

9 authors.

Andrew StirlingDuke Health Technology Solutions, Duke University Health System, Durham, North Carolina, USA.
Tracy TubbDuke Health Technology Solutions, Duke University Health System, Durham, North Carolina, USA.
Emily S ReiffDepartment of Obstetrics and Gynecology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Chad A GrotegutDepartment of Obstetrics and Gynecology, Duke University School of Medicine, Durham, North Carolina, USA.
Jennifer GagnonDuke Health Technology Solutions, Duke University Health System, Durham, North Carolina, USA.
Weiyi LiDuke Health Technology Solutions, Duke University Health System, Durham, North Carolina, USA.
Gail BradleyDuke Health Technology Solutions, Duke University Health System, Durham, North Carolina, USA.
Eric G PoonDuke Health Technology Solutions, Duke University Health System, Durham, North Carolina, USA.
Benjamin A GoldsteinDepartment of Biostatistics & Bioinformatics, Duke University School of Medicine, Durham, North Carolina, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWhile electronic health record (EHR) systems store copious amounts of patient data, aggregating those data across patients can be challenging. Visual analytic tools that integrate with EHR systems allow clinicians to gain better insight and understanding into clinical care and management. We report on our experience building Tableau-based visualizations and integrating them into our EHR system. MATERIALS AND

methodsVisual analytic tools were created as part of 12 clinician-initiated quality improvement projects. We built the visual analytic tools in Tableau and linked it within our EPIC environment. We identified 5 visual themes that spanned the various projects. To illustrate these themes, we choose 1 exemplary project which aimed to improve obstetric operating room efficiency.

resultsAcross our 12 projects, we identified 5 visual themes that are integral to project success: scheduling & optimization (in 11/12 projects); provider assessment (10/12); executive assessment (8/12); patient outcomes (7/12); and control and goal charts (2/12). DISCUSSION: Many visualizations share common themes. Identification of these themes has allowed our internal team to be more efficient and directed in developing visualizations for future projects.

conclusionOrganizing visual analytics into themes can allow informatics teams to more efficiently provide visual products to clinical collaborators.

Indexed as

Computer GraphicsElectronic Health RecordsBirthing CentersFemaleHumansMedical Records Systems, ComputerizedNorth CarolinaObstetricsOperating RoomsPregnancyQuality ImprovementUser-Computer Interfaceelectronic health recordsquality improvement, Obstetrics, birth outcomesvisualization

Identifiers

PMID32181803
PMCPMC7647303

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Registered trials

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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.