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Opportunities and Applications of Educational Technologies in Surgical Education and Assessment.
Fried, Gerald M; Varas, Julián; Telem, Dana A; Greenberg, Caprice C; Hashimoto, Daniel A; Paige, John T; Pugh, Carla.
Afiliación
  • Fried GM; Professor of Surgery, McGill University.
  • Varas J; Associate Professor of Surgery, Pontifica Universidad Católica de Chile.
  • Telem DA; Professor of Surgery, University of Michigan.
  • Greenberg CC; Professor of Surgery, University of North Carolina.
  • Hashimoto DA; Assistant Professor of Surgery, University of Pennsylvania.
  • Paige JT; Professor of Surgery, Louisiana State University.
  • Pugh C; Professor of Surgery, Stanford University.
Ann Surg ; 2024 May 29.
Article en En | MEDLINE | ID: mdl-38810267
ABSTRACT

BACKGROUND:

Surgical education is challenged by continuously increasing clinical content, greater subspecialization, and public scrutiny of access to high quality surgical care. Since the last Blue Ribbon Committee on surgical education, novel technologies have been developed including artificial intelligence and telecommunication. OBJECTIVES AND

METHODS:

The goals of this Blue Ribbon Sub-Committee were to describe the latest technological advances and construct a framework for applying these technologies to improve the effectiveness and efficiency of surgical education and assessment. An additional goal was to identify implementation frameworks and strategies for centers with different resources and access. All sub-committee recommendations were included in a Delphi consensus process with the entire Blue Ribbon Committee (N=67).

RESULTS:

Our sub-committee found several new technologies and opportunities that are well poised to improve the effectiveness and efficiency of surgical education and assessment (see Tables 1-3). Our top recommendation was that a Multidisciplinary Surgical Educational Council be established to serve as an oversight body to develop consensus, facilitate implementation, and establish best practices for technology implementation and assessment. This recommendation achieved 93% consensus during the first round of the Delphi process.

CONCLUSION:

Advances in technology-based assessment, data analytics, and behavioral analysis now allow us to create personalized educational programs based on individual preferences and learning styles. If implemented properly, education technology has the promise of improving the quality and efficiency of surgical education and decreasing the demands on clinical faculty.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Ann Surg Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Ann Surg Año: 2024 Tipo del documento: Article