Evidence map›Paper›PMID 30184241›Full record

ArticleApplied clinical informatics2018

Efficiency of Emergency Physicians: Insights from an Observational Study using EHR Log Files.

Thomas G Kannampallil, Courtney A Denton, Jason S Shapiro, Vimla L Patel

Abstract read
In one paragraph

Article in Applied clinical informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 4 pooled it
–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

20 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Measuring Documentation Burden in Healthcare.Journal of general internal medicine · 2024
    Pooled it
  2. The role of information systems in emergency department decision-making-a literature review.Journal of the American Medical Informatics Association : JAMIA · 2024
    Pooled it
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  8. Team is brain: leveraging EHR audit log data for new insights into acute care processes.Journal of the American Medical Informatics Association : JAMIA · 2022
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  16. Conceptual considerations for using EHR-based activity logs to measure clinician burnout and its effects.Journal of the American Medical Informatics Association : JAMIA · 2021
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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

4 authors.

Thomas G Kannampallil
Courtney A Denton
Jason S Shapiro
Vimla L Patel

Funding

Impact of Meaningful Use on Clinical Workflow in Emergency DepartmentsR01HS022670 · AHRQ · NEW YORK ACADEMY OF MEDICINE · PI PATEL, VIMLA L. · 2014 to 2014
$979k
AHRQ HHS R01 HS022670
6 · The paper itself

Abstract

objectiveWith federal mandates and incentives since the turn of this decade, electronic health records (EHR) have been widely adopted and used for clinical care. Over the last several years, we have seen both positive and negative perspectives on its use. Using an analysis of log files of EHR use, we investigated the nature of EHR use and their effect on an emergency department's (ED) throughput and efficiency.

methodsEHR logs of time spent by attending physicians on EHR-based activities over a 6-week period (

resultsWe found positive correlations between physician review of patient charts, and door-to-disposition time (

conclusionThe results highlight that longer time spent on reviewing information on the EHR is potentially associated with decreased ED throughput efficiency. Balancing these competing goals is often a challenge of physicians, and its implications for patient safety is discussed.

Indexed as

Electronic Health RecordsObservational Studies as TopicPhysiciansAdultDocumentationEmergency Service, HospitalHumansLongevityTime Factors

Identifiers

PMID30184241
PMCPMC5802998

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.