Copy-and-Paste in Medical Student Notes: Extent, Temporal Trends, and Relationship to Scholastic Performance.


Journal

Applied clinical informatics
ISSN: 1869-0327
Titre abrégé: Appl Clin Inform
Pays: Germany
ID NLM: 101537732

Informations de publication

Date de publication:
05 2019
Historique:
entrez: 4 7 2019
pubmed: 4 7 2019
medline: 22 4 2020
Statut: ppublish

Résumé

Medical students may observe and subsequently perpetuate redundancy in clinical documentation, but the degree of redundancy in student notes and whether there is an association with scholastic performance are unknown. This study sought to quantify redundancy, defined generally as the proportion of similar text between two strings, in medical student notes and evaluate the relationship between note redundancy and objective indicators of student performance. Notes generated by medical students rotating through their medicine clerkship during a single academic year at our institution were analyzed. A student-patient interaction (SPI) was defined as a history and physical and at least two contiguous progress notes authored by the same student during a single patient's hospitalization. For some students, SPI pairs were available from early and late in the clerkship. Redundancy between analogous sections of consecutive notes was calculated on a 0 to 100% scale and was derived from edit distance, the number of changes needed to transform one text string into another. Indicators of student performance included United States Medical Licensing Exam (USMLE) scores. Ninety-four single SPIs and 58 SPI pairs were analyzed. Redundancy in the assessment/plan section was high (40%) and increased within individual SPIs (to 60%; During the medicine clerkship, the assessment/plan section of medical student notes became more redundant over a patient's hospital course and as students gained clinical experience. These trends may be indicative of deficiencies in clinical knowledge or reasoning, as evidenced by performance on some standardized evaluations.

Sections du résumé

BACKGROUND
Medical students may observe and subsequently perpetuate redundancy in clinical documentation, but the degree of redundancy in student notes and whether there is an association with scholastic performance are unknown.
OBJECTIVES
This study sought to quantify redundancy, defined generally as the proportion of similar text between two strings, in medical student notes and evaluate the relationship between note redundancy and objective indicators of student performance.
METHODS
Notes generated by medical students rotating through their medicine clerkship during a single academic year at our institution were analyzed. A student-patient interaction (SPI) was defined as a history and physical and at least two contiguous progress notes authored by the same student during a single patient's hospitalization. For some students, SPI pairs were available from early and late in the clerkship. Redundancy between analogous sections of consecutive notes was calculated on a 0 to 100% scale and was derived from edit distance, the number of changes needed to transform one text string into another. Indicators of student performance included United States Medical Licensing Exam (USMLE) scores.
RESULTS
Ninety-four single SPIs and 58 SPI pairs were analyzed. Redundancy in the assessment/plan section was high (40%) and increased within individual SPIs (to 60%;
CONCLUSION
During the medicine clerkship, the assessment/plan section of medical student notes became more redundant over a patient's hospital course and as students gained clinical experience. These trends may be indicative of deficiencies in clinical knowledge or reasoning, as evidenced by performance on some standardized evaluations.

Identifiants

pubmed: 31269530
doi: 10.1055/s-0039-1692402
pmc: PMC6609271
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

479-486

Informations de copyright

Georg Thieme Verlag KG Stuttgart · New York.

Déclaration de conflit d'intérêts

None declared.

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Auteurs

Ken Monahan (K)

Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States.

Cheng Ye (C)

Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States.

Edward Gould (E)

Division of Nephrology, Vanderbilt University Medical Center, Nashville, Tennessee, United States.

Meng Xu (M)

Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, United States.

Shi Huang (S)

Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, United States.

Anderson Spickard (A)

Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Division of General Internal Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States.

S Trent Rosenbloom (ST)

Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Division of General Internal Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, United States.

Joseph Coco (J)

Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States.

Daniel Fabbri (D)

Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States.

Bonnie Miller (B)

Office of Health Sciences Education-School of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States.

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