Evidence map›Paper›PMID 42766840›Full record

ArticleJMIR formative research2026

Implementation of the Personalized Automated Reading Delivery System as a Component of Precision Medical Education: Prospective Crossover Study.

William Gatenby, Sumeet R Gopwani, Glenn E Woodworth, McKenzie Hollon, Stacey Kaltman

Abstract read
In one paragraph

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

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0citing papers in PubMed
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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

5 authors.

William GatenbyDepartment of Anesthesiology, MedStar Georgetown University Hospital, 3800 Reservoir Rd NW, Washington, DC, 20007, United States, 1 202-444-2000, 1 (202) 444-8854.ORCID 0000-0003-0916-9550
Sumeet R GopwaniDepartment of Anesthesiology, MedStar Georgetown University Hospital, 3800 Reservoir Rd NW, Washington, DC, 20007, United States, 1 202-444-2000, 1 (202) 444-8854.ORCID 0000-0002-3468-1639
Glenn E WoodworthDepartment of Anesthesiology and Perioperative Medicine, Oregon Health and Science University, Portland, OR, United States.ORCID 0000-0002-1924-801X
McKenzie HollonDepartment of Anesthesiology, Emory University School of Medicine, Atlanta, GA, United States.ORCID 0000-0003-3517-4396
Stacey KaltmanDepartment of Psychiatry, Georgetown University School of Medicine, Washington, DC, United States.ORCID 0000-0002-5805-5536

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Precision medical education (PME) is an emerging concept that aims to improve physician education by tailoring curricula specifically to each learner. The basic framework behind PME requires collecting data on each individual learner, identifying gaps in knowledge, and then applying direct educational interventions. However, logistical difficulties in the delivery of such interventions hinder the implementation of PME in existing academic programs. Objective: We developed the Personalized Automated Reading Delivery System (PARDS) software application to support a potential PME intervention, aiming to increase the volume of relevant scientific literature read by resident physicians. The PARDS analyzes surgical case lists for the following day, selects relevant scientific articles according to predetermined keywords, and delivers each article via email to an anesthesiology resident physician. This technology may assist in the application of personalized educational interventions, and we evaluated the feasibility of implementing the PARDS in a population of medical learners. Methods: From July 2018 to December 2018, a pilot prospective crossover study was performed with N=10 postgraduate year 2 (PGY2) anesthesiology residents in an academic medical center (response rate 10/10, 100%). Residents were randomly assigned to the PARDS intervention group for 2 of the 4 months of the study period. The primary outcomes were organizational viability (evaluated by successful delivery of selected articles by the PARDS, required faculty hours, and total expenses) and acceptability in the study population (assessed by the number of reported weekly reading hours). An analysis using a linear mixed model for repeating measures was performed to compare weekly reading hours between intervention and nonintervention conditions. Results: Total reported faculty time involvement for the study period was 24 hours. The cost estimate for implementation ranged from US $2360 to US $8360. The mean difference of recorded reading hours by residents while using the PARDS vs not using the PARDS for months 1, 2, 3, and 4 of the study was 2.56 (95% CI -0.03 to 5.15; Conclusions: The PARDS was successfully implemented in an academic medical center. Calculated costs indicate that the PARDS is an inexpensive intervention compared to contemporary alternatives. The effect on resident reading requires further research.

Indexed as

Education, MedicalPrecision MedicineReadingAnesthesiologyCross-Over StudiesCurriculumHumansInternship and ResidencyPilot ProjectsProspective Studiesanesthesia educationeducational curriculaprecision medical educationteaching and learning approaches and toolstechnology in education

Identifiers

PMID42766840
PMCPMC13592747

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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.