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Sensors, motion tracking, and data science: the quest to train MD’s like elite athletes

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Air date: Wednesday, March 8, 2017, 3:00:00 PM
Time displayed is Eastern Time, Washington DC Local
Views: Total views: 287, (95 Live, 192 On-demand)
Category: WALS - Wednesday Afternoon Lectures
Runtime: 01:03:42
Description: NIH Director’s Wednesday Afternoon Lecture Series

The current gold standard for evaluating physician competency for hands-on clinical skills involves the use of observer-based checklists. However, a known weakness in this approach is that certain skills, important to overall performance, cannot be reliably tracked by a human observer. This fault allows the possibility of rating clinicians as competent despite having critical performance deficits. What if sensors and motion tracking could be used to quantify physician performance? This WALS presentation will explore new research demonstrating the relationship between movement metrics, data science, and physician excellence.

For more information go to https://oir.nih.gov/wals
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NLM Title: Sensors, motion tracking, and data science : the quest to train MD's like elite athletes / Carla M. Pugh.
Author: Pugh, Carla M.
National Institutes of Health (U.S.),
Publisher:
Abstract: (CIT): The current gold standard for evaluating physician competency for hands-on clinical skills involves the use of observer-based checklists. However, a known weakness in this approach is that certain skills, important to overall performance, cannot be reliably tracked by a human observer. This fault allows the possibility of rating clinicians as competent despite having critical performance deficits. What if sensors and motion tracking could be used to quantify physician performance? This WALS presentation will explore new research demonstrating the relationship between movement metrics, data science, and physician excellence.
Subjects: Clinical Competence--standards
Data Mining
Employee Performance Appraisal--methods
Medical Informatics Applications
Peer Review, Health Care--methods
Physicians
Publication Types: Lecture
Webcast
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Caption Text: Download Caption File
NLM Classification: W 21
NLM ID: 101703916
CIT Live ID: 21911
Permanent link: https://videocast.nih.gov/watch=21911