Evidence map›Paper›PMID 21541691›Full record

ArticleJournal of medical systems2011

Extracting insights from electronic health records: case studies, a visual analytics process model, and design recommendations.

Taowei David Wang, Krist Wongsuphasawat, Catherine Plaisant, Ben Shneiderman

Abstract read
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In one paragraph

Article in Journal of medical systems, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Personalized skincare: from molecular basis to clinical and commercial applications.Clinical, cosmetic and investigational dermatology · 2018
    Review
  7. Collaborative Visual Analytics: A Health Analytics Approach to Injury Prevention.International journal of environmental research and public health · 2017
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Visualizing the data - using lifelines2 to gain insights from data drawn from a clinical data repository.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2013
    Article
  14. Sim•TwentyFive: an interactive visualization system for data-driven decision support.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2012
    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

4 authors.

Taowei David WangDepartment of Computer Science, University of Maryland, College Park, MD 20742, USA. taowei@gmail.com
Krist Wongsuphasawat
Catherine Plaisant
Ben Shneiderman

Funding

Interactive Exploration of Temporal Patterns in Electronic Health RecordsRC1CA147489 · NCI · UNIV OF MARYLAND, COLLEGE PARK · PI PLAISANT-SCHWENN, CATHERINE, SHNEIDERMAN, BEN A · 2009 to 2010
$683k
NCI NIH HHS RC1CA147489-02
6 · The paper itself

Abstract

Current electronic health record (EHR) systems facilitate the storage, retrieval, persistence, and sharing of patient data. However, the way physicians interact with EHRs has not changed much. More specifically, support for temporal analysis of a large number of EHRs has been lacking. A number of information visualization techniques have been proposed to alleviate this problem. Unfortunately, due to their limited application to a single case study, the results are often difficult to generalize across medical scenarios. We present the usage data of Lifelines2 (Wang et al. 2008), our information visualization system, and user comments, both collected over eight different medical case studies. We generalize our experience into a visual analytics process model for multiple EHRs. Based on our analysis, we make seven design recommendations to information visualization tools to explore EHR systems.

Indexed as

Data DisplayElectronic Health RecordsUser-Computer InterfaceElectronic Data ProcessingHumansPhysiciansSoftware Design

Identifiers

What OpenQuestion holds

Textmetadata
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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.