Evidence map›Paper›PMID 32476474›Full record

Observational studyHealth information management : journal of the Health Information Management Association of Australia2021

Analysing EHR navigation patterns and digital workflows among physicians during ICU pre-rounds.

Cameron Coleman, David Gotz, Samantha Eaker, Elaine James, Thomas Bice, Shannon Carson, Saif Khairat

Abstract readObservational Study
In one paragraph

Observational study in Health information management : journal of the Health Information Management Association of Australia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Patient Experiences with Virtual Nursing: A Qualitative Survey.Studies in health technology and informatics · 2025
    Article
  3. Review
  4. Article
  5. Review
  6. Inferring EHR Utilization Workflows through Audit Logs.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2022
    Article
  7. Article
  8. Article
  9. EMR Precharting Efficiency in Internal Medicine: A Scoping Review.Journal of medical education and curricular development
    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

7 authors.

Cameron ColemanUniversity of North Carolina at Chapel Hill, USA.
David GotzUniversity of North Carolina at Chapel Hill, USA.
Samantha EakerUniversity of North Carolina at Chapel Hill, USA.
Elaine JamesUniversity of North Carolina at Chapel Hill, USA.
Thomas BiceUniversity of North Carolina at Chapel Hill, USA.
Shannon CarsonUniversity of North Carolina at Chapel Hill, USA.
Saif KhairatUniversity of North Carolina at Chapel Hill, USA.ORCID https://orcid.org/0000-0002-8992-2946

Funding

An Interdisciplinary Program for Advanced Training in Health Data AnalyticsT15LM012500 · NLM · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MOSTAFA, JAVED · 2017 to 2021
$2.9M
NLM NIH HHS T15 LM012500
6 · The paper itself

Abstract

backgroundSome physicians in intensive care units (ICUs) report that electronic health records (EHRs) can be cumbersome and disruptive to workflow. There are significant gaps in our understanding of the physician-EHR interaction.

objectiveTo better understand how clinicians use the EHR for chart review during ICU pre-rounds through the characterisation and description of screen navigation pathways and workflow patterns.

methodWe conducted a live, direct observational study of six physician trainees performing electronic chart review during daily pre-rounds in the 30-bed medical ICU at a large academic medical centre in the Southeastern United States. A tailored checklist was used by observers for data collection.

resultsWe observed 52 distinct live patient chart review encounters, capturing a total of 2.7 hours of pre-rounding chart review activity by six individual physicians. Physicians reviewed an average of 8.7 patients (range = 5-12), spending a mean of 3:05 minutes per patient (range = 1:34-5:18). On average, physicians visited 6.3 (±3.1) total EHR screens per patient (range = 1-16). Four unique screens were viewed most commonly, accounting for over half (52.7%) of all screen visits: results review (17.9%), summary/overview (13.0%), flowsheet (12.7%), and the chart review tab (9.1%). Navigation pathways were highly variable, but several common screen transition patterns emerged across users. Average interrater reliability for the paired EHR observation was 80.0%.

conclusionWe observed the physician-EHR interaction during ICU pre-rounds to be brief and highly focused. Although we observed a high degree of "information sprawl" in physicians' digital navigation, we also identified common launch points for electronic chart review, key high-traffic screens and common screen transition patterns. IMPLICATIONS: From the study findings, we suggest recommendations towards improved EHR design.

Indexed as

PhysiciansElectronic Health RecordsHumansIntensive Care UnitsReproducibility of ResultsWorkflowclinical workelectronic health records (EHR)health information managementICUworkflow

Identifiers

PMID32476474
PMCPMC8435833

What OpenQuestion holds

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LicenceCC BY-NC
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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.