Review of methods for objective surgical skill evaluation

Carol E. Reiley, Henry C. Lin, David D. Yuh, Gregory Hager

Research output: Contribution to journalArticle

Abstract

Background: Rising health and financial costs associated with iatrogenic errors have drawn increasing attention to the dexterity of surgeons. With the advent of new technologies, such as robotic surgical systems and medical simulators, researchers now have the tools to analyze surgical motion with the goal of differentiating the level of technical skill in surgeons. Methods: The review for this paper is obtained from a Google Scholar and PubMed search of the key words "objective surgical skill evaluation." Only studies that included motion analysis were used. Results: In this paper, we provide a clinical motivation for the importance of surgical skill evaluation. We review the current methods of tracking surgical motion and the available data-collection systems. We also survey current methods of surgical skill evaluation and show that most approaches fall into one of three methods: (1) structured human grading; (2) descriptive statistics; or (3) statistical language models of surgical motion. We discuss the need for an encompassing approach to model human skill through statistical models to allow for objective skill evaluation.

Original languageEnglish (US)
Pages (from-to)356-366
Number of pages11
JournalSurgical Endoscopy and Other Interventional Techniques
Volume25
Issue number2
DOIs
StatePublished - Feb 2011

Fingerprint

Statistical Models
Robotics
PubMed
Information Systems
Health Care Costs
Motivation
Language
Research Personnel
Technology
Surgeons
Surveys and Questionnaires

Keywords

  • Human robotic training
  • Surgical training courses

ASJC Scopus subject areas

  • Surgery

Cite this

Review of methods for objective surgical skill evaluation. / Reiley, Carol E.; Lin, Henry C.; Yuh, David D.; Hager, Gregory.

In: Surgical Endoscopy and Other Interventional Techniques, Vol. 25, No. 2, 02.2011, p. 356-366.

Research output: Contribution to journalArticle

Reiley, Carol E. ; Lin, Henry C. ; Yuh, David D. ; Hager, Gregory. / Review of methods for objective surgical skill evaluation. In: Surgical Endoscopy and Other Interventional Techniques. 2011 ; Vol. 25, No. 2. pp. 356-366.
@article{fa9be32cecf940e8b27a2defcdb61f6d,
title = "Review of methods for objective surgical skill evaluation",
abstract = "Background: Rising health and financial costs associated with iatrogenic errors have drawn increasing attention to the dexterity of surgeons. With the advent of new technologies, such as robotic surgical systems and medical simulators, researchers now have the tools to analyze surgical motion with the goal of differentiating the level of technical skill in surgeons. Methods: The review for this paper is obtained from a Google Scholar and PubMed search of the key words {"}objective surgical skill evaluation.{"} Only studies that included motion analysis were used. Results: In this paper, we provide a clinical motivation for the importance of surgical skill evaluation. We review the current methods of tracking surgical motion and the available data-collection systems. We also survey current methods of surgical skill evaluation and show that most approaches fall into one of three methods: (1) structured human grading; (2) descriptive statistics; or (3) statistical language models of surgical motion. We discuss the need for an encompassing approach to model human skill through statistical models to allow for objective skill evaluation.",
keywords = "Human robotic training, Surgical training courses",
author = "Reiley, {Carol E.} and Lin, {Henry C.} and Yuh, {David D.} and Gregory Hager",
year = "2011",
month = "2",
doi = "10.1007/s00464-010-1190-z",
language = "English (US)",
volume = "25",
pages = "356--366",
journal = "Surgical Endoscopy",
issn = "0930-2794",
publisher = "Springer New York",
number = "2",

}

TY - JOUR

T1 - Review of methods for objective surgical skill evaluation

AU - Reiley, Carol E.

AU - Lin, Henry C.

AU - Yuh, David D.

AU - Hager, Gregory

PY - 2011/2

Y1 - 2011/2

N2 - Background: Rising health and financial costs associated with iatrogenic errors have drawn increasing attention to the dexterity of surgeons. With the advent of new technologies, such as robotic surgical systems and medical simulators, researchers now have the tools to analyze surgical motion with the goal of differentiating the level of technical skill in surgeons. Methods: The review for this paper is obtained from a Google Scholar and PubMed search of the key words "objective surgical skill evaluation." Only studies that included motion analysis were used. Results: In this paper, we provide a clinical motivation for the importance of surgical skill evaluation. We review the current methods of tracking surgical motion and the available data-collection systems. We also survey current methods of surgical skill evaluation and show that most approaches fall into one of three methods: (1) structured human grading; (2) descriptive statistics; or (3) statistical language models of surgical motion. We discuss the need for an encompassing approach to model human skill through statistical models to allow for objective skill evaluation.

AB - Background: Rising health and financial costs associated with iatrogenic errors have drawn increasing attention to the dexterity of surgeons. With the advent of new technologies, such as robotic surgical systems and medical simulators, researchers now have the tools to analyze surgical motion with the goal of differentiating the level of technical skill in surgeons. Methods: The review for this paper is obtained from a Google Scholar and PubMed search of the key words "objective surgical skill evaluation." Only studies that included motion analysis were used. Results: In this paper, we provide a clinical motivation for the importance of surgical skill evaluation. We review the current methods of tracking surgical motion and the available data-collection systems. We also survey current methods of surgical skill evaluation and show that most approaches fall into one of three methods: (1) structured human grading; (2) descriptive statistics; or (3) statistical language models of surgical motion. We discuss the need for an encompassing approach to model human skill through statistical models to allow for objective skill evaluation.

KW - Human robotic training

KW - Surgical training courses

UR - http://www.scopus.com/inward/record.url?scp=79954589813&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79954589813&partnerID=8YFLogxK

U2 - 10.1007/s00464-010-1190-z

DO - 10.1007/s00464-010-1190-z

M3 - Article

C2 - 20607563

AN - SCOPUS:79954589813

VL - 25

SP - 356

EP - 366

JO - Surgical Endoscopy

JF - Surgical Endoscopy

SN - 0930-2794

IS - 2

ER -