Evidence map›Paper›PMID 26958287›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2015

Using High-Fidelity Simulation and Eye Tracking to Characterize EHR Workflow Patterns among Hospital Physicians.

Julie W Doberne, Ze He, Vishnu Mohan, Jeffrey A Gold, Jenna Marquard, Michael F Chiang

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  10. Eye-tracking for clinical decision support: A method to capture automatically what physicians are viewing in the EMR.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2017
    Article
  11. 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.

Julie W DoberneDepartment of Medical Informatics & Clinical Epidemiology, Oregon Health & Science University, Portland, OR.
Ze HeUniversity of Massachusetts Amherst, Amherst, MA.
Vishnu MohanDepartment of Medical Informatics & Clinical Epidemiology, Oregon Health & Science University, Portland, OR.
Jeffrey A GoldDepartment of Medical Informatics & Clinical Epidemiology, Oregon Health & Science University, Portland, OR; Department of Pulmonology & Critical Care, Oregon Health & Science University, Portland, OR.
Jenna MarquardUniversity of Massachusetts Amherst, Amherst, MA.
Michael F ChiangDepartment of Medical Informatics & Clinical Epidemiology, Oregon Health & Science University, Portland, OR; Department of Ophthalmology, Oregon Health & Science University, Portland, OR.

Funding

TRAINING PROGRAM IN HEALTH INFORMATICST15LM007088 · NLM · OREGON HEALTH & SCIENCE UNIVERSITY · PI WILLIAM R HERSH, Vishnu Mohan · 1992 to 2026
$23.4M
NLM NIH HHS T15 LM007088
6 · The paper itself

Abstract

Modern EHR systems are complex, and end-user behavior and training are highly variable. The need for clinicians to access key clinical data is a critical patient safety issue. This study used a mixed methods approach employing a high-fidelity EHR simulation environment, eye and screen tracking, surveys, and semi-structured interviews to characterize typical EHR usage by hospital physicians (hospitalists) as they encounter a new patient. The main findings were: 1) There were strong similarities across the groups in the information types the physicians looked at most frequently, 2) While there was no overall difference in case duration between the groups, we observed two distinct workflow types between the groups with respect to gathering information in the EHR and creating a note, and 3) A majority of the case time was devoted to note composition in both groups. This has implications for EHR interface design and raises further questions about what individual user workflows exist in the EHR.

Indexed as

Electronic Health RecordsHospitalistsWorkflowComputer SimulationHumans

Identifiers

PMID26958287
PMCPMC4765617

What OpenQuestion holds

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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.