Title |
Feasibility of eye-tracking technology to quantify expertise in ultrasound-guided regional anesthesia
|
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Published in |
Journal of Anesthesia, March 2016
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DOI | 10.1007/s00540-016-2157-6 |
Pubmed ID | |
Authors |
T. Kyle Harrison, T. Edward Kim, Alex Kou, Cynthia Shum, Edward R. Mariano, Steven K. Howard, The ADAPT (Anesthesiology-Directed Advanced Procedural Training) Research Group |
Abstract |
Ultrasound-guided regional anesthesia (UGRA) requires an advanced procedural skill set that incorporates both sonographic knowledge of relevant anatomy as well as technical proficiency in needle manipulation in order to achieve a successful outcome. Understanding how to differentiate a novice from an expert in UGRA using a quantifiable tool may be useful for comparing educational interventions that could improve the rate at which one develops expertise. Exploring the gaze pattern of individuals performing a task has been used to evaluate expertise in many different disciplines, including medicine. However, the use of eye-tracking technology has not been previously applied to UGRA. The purpose of this preliminary study is to establish the feasibility of applying such technology as a measurement tool for comparing procedural expertise in UGRA. eye-tracking data were collected from one expert and one novice utilizing Tobii Glasses 2 while performing a simulated ultrasound-guided thoracic paravertebral block in a gel phantom model. Area of interest fixations were recorded and heat maps of gaze fixations were created. Results suggest a potential application of eye-tracking technology in the assessment of UGRA learning and performance. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 7 | 37% |
Canada | 2 | 11% |
United Kingdom | 2 | 11% |
Spain | 1 | 5% |
Ukraine | 1 | 5% |
India | 1 | 5% |
Unknown | 5 | 26% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 8 | 42% |
Practitioners (doctors, other healthcare professionals) | 5 | 26% |
Scientists | 4 | 21% |
Science communicators (journalists, bloggers, editors) | 2 | 11% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 73 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 12 | 16% |
Student > Postgraduate | 8 | 11% |
Researcher | 7 | 10% |
Student > Master | 6 | 8% |
Student > Doctoral Student | 6 | 8% |
Other | 16 | 22% |
Unknown | 18 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 25 | 34% |
Engineering | 8 | 11% |
Decision Sciences | 3 | 4% |
Psychology | 3 | 4% |
Neuroscience | 3 | 4% |
Other | 8 | 11% |
Unknown | 23 | 32% |