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

You might also read

Related Articles

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

Sort by
Same author

Data-driven soliton manifold approximations for dark and bright waves: Some prototypical 1D case examples.

Chaos (Woodbury, N.Y.)·2026
Same author

Generative Artificial Intelligence for Orthognathic Planning: Patient-Specific 3-Dimensional Jaw Reference Forms Conditioned on the Cranial Base.

Journal of oral and maxillofacial surgery : official journal of the American Association of Oral and Maxillofacial Surgeons·2026
Same author

The combination of low-intensity resistance exercise and electrical muscle stimulation effectively enhances executive function in men.

Clinical physiology and functional imaging·2026
Same author

Assessing county-level high-quality development and spatial adaptation paths under the space of flows perspective: a coupling detrended fluctuation analysis approach.

Scientific reports·2026
Same author

SinusNet+: Deep Condition-Label-Free Segmentation of Maxillary Sinus Conditions in CBCT images.

Dento maxillo facial radiology·2026
Same author

Analysis of pathogen distribution and risk factors for extended antibiotic course in children with microbiological-based protracted bacterial bronchitis in southwest China.

Frontiers in pediatrics·2026
Same journal

Institutional Learning Curve in Esophagectomy: Technical Standardization of Gastric Conduit Formation and Conduit-Related Outcomes in 187 Consecutive Patients.

Journal of surgical oncology·2026
Same journal

Evaluating the Accuracy of ChatGPT-4o in Addressing Complex Clinical Questions Based on NCCN Guidelines for Rectal Adenocarcinoma.

Journal of surgical oncology·2026
Same journal

Racial Differences in Breast Cancer Treatment and Information Access.

Journal of surgical oncology·2026
Same journal

Comparative Analysis of CEM and Breast MRI: A Retrospective Study.

Journal of surgical oncology·2026
Same journal

The Treatment Efficacy for Patients Undergoing Combined Transanal-Transabdominal Endoscopic Resection of Rectal Anastomosis Stenosis.

Journal of surgical oncology·2026
Same journal

"It Depends on the Situation": Variability in How Surgical Oncologists Elicit and Integrate Patient Values.

Journal of surgical oncology·2026
See all related articles

Related Experiment Video

Updated: Oct 29, 2025

An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor
07:25

An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor

Published on: February 12, 2018

7.1K

Performance assessment using sensor technology.

Hossein Mohamadipanah1, Brett Wise1, Anna Witt1

  • 1Department of Surgery, Stanford University School of Medicine, Stanford, California, USA.

Journal of Surgical Oncology
|July 10, 2021
PubMed
Summary
This summary is machine-generated.

Sensor technology offers new ways to assess complex hands-on medical skills. This study explores performance metrics for evaluating both cognitive and technical aspects of procedural medicine, advancing clinical skills assessment.

Keywords:
performance assessmentsensorssurgical metricswearable technology

More Related Videos

A Community-based Stress Management Program: Using Wearable Devices to Assess Whole Body Physiological Responses in Non-laboratory Settings
10:45

A Community-based Stress Management Program: Using Wearable Devices to Assess Whole Body Physiological Responses in Non-laboratory Settings

Published on: January 22, 2018

7.8K
Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable
09:24

Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable

Published on: May 17, 2024

1.8K

Related Experiment Videos

Last Updated: Oct 29, 2025

An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor
07:25

An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor

Published on: February 12, 2018

7.1K
A Community-based Stress Management Program: Using Wearable Devices to Assess Whole Body Physiological Responses in Non-laboratory Settings
10:45

A Community-based Stress Management Program: Using Wearable Devices to Assess Whole Body Physiological Responses in Non-laboratory Settings

Published on: January 22, 2018

7.8K
Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable
09:24

Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable

Published on: May 17, 2024

1.8K

Area of Science:

  • Medical Education
  • Biomedical Engineering
  • Health Professions Education

Background:

  • Clinical skills assessments have advanced significantly over 30 years.
  • Current methods struggle to capture the full complexity of hands-on procedural skills.
  • There is a need for more sophisticated assessment tools in procedural medicine.

Purpose of the Study:

  • To highlight the development and implementation of sensor technology for assessing hands-on skills.
  • To present new discoveries in performance metrics derived from sensor data.
  • To evaluate both cognitive and technical components of procedural skills using novel methods.

Main Methods:

  • Development and implementation of sensor-based systems for skill assessment.
  • Utilizing sensor data to derive novel performance metrics.
  • Focusing on hands-on skills within procedural medicine.

Main Results:

  • Sensor technology enables detailed assessment of cognitive and technical skills.
  • New performance metrics provide deeper insights into skill execution.
  • The approach captures complexities missed by traditional assessment methods.

Conclusions:

  • Sensor technology represents a significant advancement in clinical skills assessment.
  • This technology allows for a more comprehensive evaluation of procedural competence.
  • Further research can refine these metrics for broader application in medical training.