Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Classification of Illness01:17

Classification of Illness

7.6K
The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
7.6K
Nursing Clinical Information System01:27

Nursing Clinical Information System

818
Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
818
Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

297
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
297
Integrated Healthcare System01:20

Integrated Healthcare System

1.7K
An integrated healthcare system (IHS) is a set of organizations that provides for or arranges to provide coordinated and continuous service to a defined population. The IHS takes responsibility for that particular population's health status and outcome, both clinically and fiscally. An integrated healthcare system is a well-organized, well-coordinated, and collaborative network. The integrated delivery system is a network that connects different healthcare providers to deliver organized,...
1.7K
Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

491
In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
491

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Complexity of Diagnosing Volume Overload-Reply.

JAMA·2026
Same author

Does This Patient Have Volume Overload?: The Rational Clinical Examination.

JAMA·2026
Same author

Signatures of sex ratio distortion in humans.

bioRxiv : the preprint server for biology·2026
Same author

Electrocatalytic Hydrogen Oxidation by Defect-Enriched CuW Nanoalloy Featuring Hydrogen Spillover Effect.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2025
Same author

Intelligent Gene Delivery System Functionalized Metal Implants for Fracture Repair via Remodeling Mitochondrial Homeostasis.

Advanced healthcare materials·2025
Same author

MPSE identifies newborns for whole genome sequencing within 48 h of NICU admission.

NPJ genomic medicine·2025
Same journal

Associations of marital status with well-being and career intentions among medical residents: a national survey in Japan.

Academic medicine : journal of the Association of American Medical Colleges·2026
Same journal

Naming learner agency at the bedside: FPTAL (from passive reception to active learning) as a dialogic bridge.

Academic medicine : journal of the Association of American Medical Colleges·2026
Same journal

Fostering conversation and co-regulation: how medical students experience co-creating narrative feedback.

Academic medicine : journal of the Association of American Medical Colleges·2026
Same journal

Understanding accelerated 3-year MD program graduates: key considerations for residency directors.

Academic medicine : journal of the Association of American Medical Colleges·2026
Same journal

Building the foundation of clinical training: a mixed-methods study of pre-clerkship clinical preceptors and retention.

Academic medicine : journal of the Association of American Medical Colleges·2026
Same journal

Upward trend of publications with student and trainee authors appearing in Academic Medicine, 2016-2025.

Academic medicine : journal of the Association of American Medical Colleges·2026
See all related articles

Related Experiment Video

Updated: Jul 21, 2025

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

15.9K

Using Natural Language Processing and Machine Learning to Identify Internal Medicine-Pediatrics Residency Values in

Benjamin Drum1, Jianlin Shi2, Bennet Peterson3

  • 1B. Drum is assistant professor, Department of Internal Medicine, and adjunct professor, Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah.

Academic Medicine : Journal of the Association of American Medical Colleges
|July 28, 2023
PubMed
Summary
This summary is machine-generated.

A machine learning model (MLM) can help residency programs screen applicants by identifying key values from application narratives. This approach offers moderate sensitivity and high specificity, aiding in efficient and potentially less biased candidate evaluation for residency selection.

More Related Videos

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

8.7K
TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients
09:00

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

Published on: April 13, 2021

4.6K

Related Experiment Videos

Last Updated: Jul 21, 2025

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

15.9K
Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

8.7K
TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients
09:00

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

Published on: April 13, 2021

4.6K

Area of Science:

  • Medical Education
  • Computational Medicine
  • Health Informatics

Background:

  • Holistic review in residency admissions is effective but time-consuming.
  • Traditional screening relies on quantitative metrics, risking socioeconomic and racial bias.
  • Unstructured application data requires extensive resources for evaluation.

Purpose of the Study:

  • To develop and evaluate a machine learning model (MLM) for screening residency applicants.
  • To assess the MLM's ability to identify key values associated with resident success from application narratives.
  • To compare MLM performance against manual holistic review.

Main Methods:

  • Extracted text snippets from narrative sections of internal medicine-pediatrics residency applications (2015-2019).
  • Expert reviewers annotated snippets for 10 predefined values (e.g., academic strength, compassion, teamwork).
  • Prospectively applied the trained MLM to 2023 applications and compared results with manual holistic review.

Main Results:

  • The MLM demonstrated moderate sensitivity (0.64) and high specificity (0.97).
  • Key application metrics derived from the MLM significantly correlated with interview invitations (P < .001).
  • Eight of ten assessed values were significant predictors of interview status.

Conclusions:

  • An MLM can effectively identify important values for resident success in internal medicine-pediatrics programs.
  • The developed MLM offers a potentially more efficient and objective screening tool.
  • Future work includes refining the MLM through increased annotations and parameter tuning.