Competency



Competency refers to the ability to do something successfully or efficiently. It includes a combination of knowledge, skills, and behaviors that are necessary to perform a task or role effectively.

Types of Competencies: Technical Competency – specific knowledge or skills related to a job (e.g., programming, operating medical equipment).

Behavioral (or Soft) Competency – traits or interpersonal skills (e.g., communication, teamwork, adaptability).

Core Competency – fundamental qualities that are essential across roles in an organization or profession (e.g., integrity, problem-solving).

Leadership Competency – skills needed to lead others (e.g., strategic thinking, decision-making, conflict resolution).

Example: A nurse’s competencies may include clinical knowledge, patient communication, time management, and ethical decision-making.



In surgical education, technical competency is one of the key factors of efficacy in the curriculum, and it is an independent factor that is directly associated with postoperative patient outcomes 1) 2)


By gathering large amounts of data from surgical simulation training, machine learning, and deep learning algorithms can be used to design intelligent tutoring systems to deliver a curriculum enhanced with artificial intelligence (AI) 3) 4) 5).

An intelligent tutoring system is a pedagogical tool powered by an AI model that can provide learners with tailored performance assessment and feedback


1)
Stulberg JJ, Huang R, Kreutzer L, et al.. Association between surgeon technical skills and patient outcomes. JAMA Surg. 2020;155(10):960-968. doi: 10.1001/jamasurg.2020.3007
2)
Birkmeyer JD, Finks JF, O’Reilly A, et al.; Michigan Bariatric Surgery Collaborative . Surgical skill and complication rates after bariatric surgery. N Engl J Med. 2013;369(15):1434-1442. doi: 10.1056/NEJMsa1300625
3)
Winkler-Schwartz A, Yilmaz R, Mirchi N, et al.. Machine learning identification of surgical and operative factors associated with surgical expertise in virtual reality simulation. JAMA Netw Open. 2019;2(8):e198363. doi: 10.1001/jamanetworkopen.2019.8363
4)
Mirchi N, Bissonnette V, Yilmaz R, Ledwos N, Winkler-Schwartz A, Del Maestro RF. The virtual operative assistant: an explainable artificial intelligence tool for simulation-based training in surgery and medicine. PLoS One. 2020;15(2):e0229596. doi: 10.1371/journal.pone.0229596
5)
Yilmaz R, Winkler-Schwartz A, Mirchi N, et al.. Continuous monitoring of surgical bimanual expertise using deep neural networks in virtual reality simulation. NPJ Digit Med. 2022;5(1):54. doi: 10.1038/s41746-022-00596-8
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  • Last modified: 2025/04/29 20:25
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