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| Name | Class |
|---|---|
| National Institute on Deafness and Other Communication Disorders (NIDCD) | NIH |
| Ohio State University | OTHER |
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The goal of this project is to improve the efficiency of training and assessment of technical skill in surgical treatment of otologic disease. Through previous funding, we have developed an intuitive virtual simulation environment to be used as an adjuvant for teaching temporal bone surgery. Using direct-volume visualization techniques with integrated stereoscopic display, haptic (force) feedback, and aural simulation, we have achieved a straightforward, low-cost learning environment ready for translation into a practical training and assessment tool. This application challenges and seeks to shift current practice in clinical training by translating the simulation environment into a vehicle for curriculum development, technical skills assessment, and dissemination. The intent is to provide more accessible, inexpensive, safe, and deliberate practice with objective and continuous quantitative, objective assessment in the early stages of training.
The aims of this research include: 1) definition of standardized metrics for otological surgical techniques, 2) the translation of those standards into objective criteria for use in a computer synthesized surgical environment, and 3) the correlation between expert evaluation and computer automated assessment of resident proficiency.
The interactions will be computer-based and include:
Experts will learn to use the system so that they can evaluate the quality of translation of metrics to the simulation environment.
Evaluations will be in the form of anonymous web-based surveys. Experts serve as a focus group.
Residents will use the simulation environment to perform surgical procedures on virtual specimens. Residents will then evaluate the quality of the simulation environment via anonymous web-based surveys.
Experts will use the simulation environment to evaluate and rate the residents performance.
The computer environment will be used to automatically assess and rate the residents performance.
Expert and computer assessment will be compared.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Benchmarking | All resident study subjects will drill virtual temporal bones within the computer based system. The performance data will be used to validate the rating metrics and computer scoring process. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Simulator training with expert scoring | Other | Residents will be trained using surgical simulation |
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| Measure | Description | Time Frame |
|---|---|---|
| Performance on a set of validated metrics for temporal bone surgery. | A collection of metrics designed to measure technical performance during a mastoidectomy will be validated by expert survey. These metrics will be translated to an automated system within the surgical simulation system. Resident subjects will be asked to perform the surgical procedure (mastoidectomy) within the simulation. Experts will then rate the playback of the performances using the validated metrics. These results will be compared to the automated scoring system. A conclusion will be drawn about the accuracy of the automated process compared to the expert rated process. | one year |
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Inclusion Criteria:
Exclusion Criteria:
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Novice otology surgeons
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| UC Irvine | Irvine | California | 92868 | United States | ||
| Stanford |
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| Palo Alto |
| California |
| 94305 |
| United States |
| Iowa | Iowa City | Iowa | 52242 | United States |
| Henry Ford | Detroit | Michigan | 28322 | United States |
| Mississippi | Jackson | Mississippi | 39216 | United States |
| Albert Einstein | The Bronx | New York | 10467 | United States |
| Duke | Durham | North Carolina | 27710 | United States |
| The Ohio State University | Columbus | Ohio | 43210 | United States |
| UT Southwestern | Dallas | Texas | 75390 | United States |
| Baylor | Houston | Texas | 77030 | United States |