Evidence map›Paper›PMID 36037835›Full record

ArticleApplied clinical informatics2022

Just-in-Time Electronic Health Record Retraining to Support Clinician Redeployment during the COVID-19 Surge.

Da P Jin, Sunil Samuel, Kristin Bowden, Vishnu Mohan, Jeffrey A Gold

Abstract readCase Reports
In one paragraph

Article in Applied clinical informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Survey of clinical informatics fellows graduating 2016-2024: experiences before and during fellowship.Journal of the American Medical Informatics Association : JAMIA · 2023
    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

5 authors.

Da P JinDepartment of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon, United States.
Sunil SamuelDepartment of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon, United States.
Kristin BowdenDepartment of Anesthesiology and Perioperative Medicine, Oregon Health & Science University, Portland, Oregon, United States.
Vishnu MohanDepartment of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon, United States.
Jeffrey A GoldDepartment of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon, United States.

Funding

TRAINING PROGRAM IN HEALTH INFORMATICST15LM007088 · NLM · OREGON HEALTH & SCIENCE UNIVERSITY · PI WILLIAM R HERSH, Vishnu Mohan · 1992 to 2026
$23.4M
EHR solutions for accurate reporting of data on interprofessional ICU roundsR01HS023793 · AHRQ · OREGON HEALTH & SCIENCE UNIVERSITY · PI GOLD, JEFFREY A. · 2015 to 2019
$2.4M
SATED: A Cultural Pre-Treatment for Disordered Eating Prevention ProgramsR36HS023731 · AHRQ · VIRGINIA COMMONWEALTH UNIVERSITY · PI JAVIER, SARAH JANE · 2015 to 2015
$43k
AHRQ HHS R01 HS023793AHRQ HHS R36 HS023731NLM NIH HHS T15 LM007088
6 · The paper itself

Abstract

backgroundIn response to surges in demand for intensive care unit (ICU) care related to the COVID-19 pandemic, health care systems have had to increase hospital capacity. One institution redeployed certified registered nurse anesthetists (CRNAs) as ICU clinicians, which necessitated training in ICU-specific electronic health record (EHR) workflows prior to redeployment. Under time- and resource-constrained settings, clinical informatics (CI) fellows could effectively be lead instructors for such training.

objectiveThis study aimed to deploy CI fellows as lead EHR instructional trainers for clinician redeployment as part of an organization's response to disaster management.

methodsCI fellows led a multidisciplinary team alongside subject matter experts to develop and deploy a tailored EHR curriculum comprising in-person classes and online video modules, leveraging high-fidelity simulated patient cases. The participants completed surveys immediately after the in-person training session and after deployment.

resultsEighteen CRNAs participated, with 15 completing the postactivity survey (83%). All felt the training was useful and improved their EHR skills with a Net Promoter score of +87. Most (93%) respondents indicated the pace of the session was "just right," and 100% felt the clarity of instruction was "just right" or "extremely easy" to understand. Twelve participants (67%) completed the postdeployment survey. The training increased comfort in the ICU for all respondents, and 91% felt the training prepared them to work in the ICU with minimal guidance. All stated that the concepts learned would be useful in their anesthesia role. Fifty-eight percent viewed the online video library.

conclusionThis case report demonstrates that CI fellows with dual domain expertise in their clinical specialty and informatics are uniquely poised to deliver clinician redeployment EHR training in response to operational crises. Such opportunities can achieve fellowship educational goals while conserving physician resources which can be a strategic option as organizations plan for disaster management.

Indexed as

COVID-19CurriculumElectronic Health RecordsFellowships and ScholarshipsHumansPandemics

Identifiers

PMID36037835
PMCPMC9534598

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.