Evidence map›Paper›PMID 42840994›Full record

ArticleFrontiers in veterinary science2026

Work outside of work: after-hours use of the electronic medical record among residents at an academic veterinary teaching hospital.

Sanchit Shah, Kim Love, Donnie Jenkins, Katherine E McCool

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sanchit ShahDepartment of Computer Science, College of Engineering, North Carolina State University, Raleigh, NC, United States.
Kim LoveConsultant, Athens, GA, United States.
Donnie JenkinsNC State Veterinary Hospital, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, United States.
Katherine E McCoolDepartment of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The electronic medical record (EMR) is a major contributor to clinician workload, with substantial documentation often occurring outside scheduled patient care hours. In human medicine, after-hours EMR use has been associated with clinician burnout, yet it has not been objectively quantified among veterinary residents. The purpose of this study was to quantify after-hours EMR use among veterinary residents, to compare this across specialties and years of training, and to establish baseline metrics for future studies evaluating documentation efficiency and workflow interventions. EMR login metadata were extracted for 39 residents representing seven specialties at a single academic veterinary teaching hospital between July 2023 and July 2024. Rule-based algorithms quantified weekday after-hours use (pajama time; PJT) and weekend time (WT; weekend EMR use). Repeated-measures hurdle models were used to evaluate associations between specialty, residency year, and after-hours EMR use. Specialty was significantly associated with both the likelihood and duration of after-hours EMR use (

Indexed as

clinical workloaddocumentationelectronic medical recordhouse officerhouse officer wellnessveterinary teaching hospital

Identifiers

PMID42840994
PMCPMC13640946

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.