Metrics for Success in a Surgical Innovation Fellowship.

innovation fellowship residency surgical innovation training

Journal

Surgical innovation
ISSN: 1553-3514
Titre abrégé: Surg Innov
Pays: United States
ID NLM: 101233809

Informations de publication

Date de publication:
19 Jul 2024
Historique:
medline: 19 7 2024
pubmed: 19 7 2024
entrez: 19 7 2024
Statut: aheadofprint

Résumé

The nature of a dedicated research time during surgical residency has evolved from a traditional basic science laboratory experience to include translational and outcomes research, investigations in improving surgical education, secondary degrees, and other clinical fellowships as trainees have sought an increasingly wide range of experiences. Moreover, many surgical specialties have seen a burst of innovation with new devices, implants, tools, and software to improve the care of surgical patients and minimize complications. This environment has led to a surge in interest in innovation, often focused on surgical device development. Despite this groundswell of interest in innovation at the trainee and program level, there is little structure or curriculum available which outlines a formalized pathway for innovation within a surgical residency, nor is there information on how the success of that program may be evaluated. We present the model we developed for a Surgical Innovation Fellowship and propose means for evaluation of the success of that fellowship.

Identifiants

pubmed: 39027980
doi: 10.1177/15533506241265160
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

15533506241265160

Déclaration de conflit d'intérêts

Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Auteurs

Gardner Yost (G)

Section of Thoracic Surgery, University of Michigan, Ann Arbor, MI, USA.
Department of Cardiac Surgery, University of Michigan, Ann Arbor, MI, USA.

Jaes Jones (J)

Department of Neurosurgery, University of Michigan, Ann Arbor, MI, USA.

Taylor Kantor (T)

Section of Thoracic Surgery, University of Michigan, Ann Arbor, MI, USA.
Department of Cardiac Surgery, University of Michigan, Ann Arbor, MI, USA.

Candice Stegink (C)

Department of Surgery, University of Michigan, Ann Arbor, MI, USA.

Gorav Ailawadi (G)

Department of Cardiac Surgery, University of Michigan, Ann Arbor, MI, USA.

Rishindra Reddy (R)

Section of Thoracic Surgery, University of Michigan, Ann Arbor, MI, USA.

Classifications MeSH