Literature DB >> 28375649

Objective Assessment of Surgical Technical Skill and Competency in the Operating Room.

S Swaroop Vedula1, Masaru Ishii2, Gregory D Hager1.   

Abstract

Training skillful and competent surgeons is critical to ensure high quality of care and to minimize disparities in access to effective care. Traditional models to train surgeons are being challenged by rapid advances in technology, an intensified patient-safety culture, and a need for value-driven health systems. Simultaneously, technological developments are enabling capture and analysis of large amounts of complex surgical data. These developments are motivating a "surgical data science" approach to objective computer-aided technical skill evaluation (OCASE-T) for scalable, accurate assessment; individualized feedback; and automated coaching. We define the problem space for OCASE-T and summarize 45 publications representing recent research in this domain. We find that most studies on OCASE-T are simulation based; very few are in the operating room. The algorithms and validation methodologies used for OCASE-T are highly varied; there is no uniform consensus. Future research should emphasize competency assessment in the operating room, validation against patient outcomes, and effectiveness for surgical training.

Entities:  

Keywords:  OCASE; objective computer-aided surgical skill evaluation; objective skill assessment; surgical data science; surgical technical competence; surgical technical skill

Mesh:

Year:  2017        PMID: 28375649      PMCID: PMC5555216          DOI: 10.1146/annurev-bioeng-071516-044435

Source DB:  PubMed          Journal:  Annu Rev Biomed Eng        ISSN: 1523-9829            Impact factor:   9.590


  84 in total

1.  Surgical competence and surgical proficiency: definitions, taxonomy, and metrics.

Authors:  Richard M Satava; Anthony G Gallagher; Carlos A Pellegrini
Journal:  J Am Coll Surg       Date:  2003-06       Impact factor: 6.113

2.  An objective and automated method for assessing surgical skill in endoscopic sinus surgery using eye-tracking and tool-motion data.

Authors:  Narges Ahmidi; Masaru Ishii; Gabor Fichtinger; Gary L Gallia; Gregory D Hager
Journal:  Int Forum Allergy Rhinol       Date:  2012-06-13       Impact factor: 3.858

3.  What do surgeons see: capturing and synchronizing eye gaze for surgery applications.

Authors:  M Stella Atkins; Geoffrey Tien; Rana S A Khan; Adam Meneghetti; Bin Zheng
Journal:  Surg Innov       Date:  2012-06-13       Impact factor: 2.058

4.  Competency in surgical residency training: defining and raising the bar.

Authors:  Nasir I Bhatti; Charles W Cummings
Journal:  Acad Med       Date:  2007-06       Impact factor: 6.893

Review 5.  The impact of stress on surgical performance: a systematic review of the literature.

Authors:  Sonal Arora; Nick Sevdalis; Debra Nestel; Maria Woloshynowych; Ara Darzi; Roger Kneebone
Journal:  Surgery       Date:  2009-12-14       Impact factor: 3.982

6.  Objective assessment of robotic surgical skill using instrument contact vibrations.

Authors:  Ernest D Gomez; Rajesh Aggarwal; William McMahan; Karlin Bark; Katherine J Kuchenbecker
Journal:  Surg Endosc       Date:  2015-07-23       Impact factor: 4.584

7.  Assessing Arthroscopic Skills Using Wireless Elbow-Worn Motion Sensors.

Authors:  Georgina S J Kirby; Paul Guyver; Louise Strickland; Abtin Alvand; Guang-Zhong Yang; Caroline Hargrove; Benny P L Lo; Jonathan L Rees
Journal:  J Bone Joint Surg Am       Date:  2015-07-01       Impact factor: 5.284

8.  Differences in gaze behaviour of expert and junior surgeons performing open inguinal hernia repair.

Authors:  Tony Tien; Philip H Pucher; Mikael H Sodergren; Kumuthan Sriskandarajah; Guang-Zhong Yang; Ara Darzi
Journal:  Surg Endosc       Date:  2014-08-15       Impact factor: 4.584

9.  Objective measures for longitudinal assessment of robotic surgery training.

Authors:  Rajesh Kumar; Amod Jog; Balazs Vagvolgyi; Hiep Nguyen; Gregory Hager; Chi Chiung Grace Chen; David Yuh
Journal:  J Thorac Cardiovasc Surg       Date:  2011-12-14       Impact factor: 5.209

10.  Size and distribution of the global volume of surgery in 2012.

Authors:  Thomas G Weiser; Alex B Haynes; George Molina; Stuart R Lipsitz; Micaela M Esquivel; Tarsicio Uribe-Leitz; Rui Fu; Tej Azad; Tiffany E Chao; William R Berry; Atul A Gawande
Journal:  Bull World Health Organ       Date:  2016-03-01       Impact factor: 9.408

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  15 in total

1.  Machine learning methods for automated technical skills assessment with instructional feedback in ultrasound-guided interventions.

Authors:  Matthew S Holden; Sean Xia; Hillary Lia; Zsuzsanna Keri; Colin Bell; Lindsey Patterson; Tamas Ungi; Gabor Fichtinger
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-04-20       Impact factor: 2.924

2.  Segmenting and classifying activities in robot-assisted surgery with recurrent neural networks.

Authors:  Robert DiPietro; Narges Ahmidi; Anand Malpani; Madeleine Waldram; Gyusung I Lee; Mija R Lee; S Swaroop Vedula; Gregory D Hager
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-04-29       Impact factor: 2.924

Review 3.  Deep learning with convolutional neural network for objective skill evaluation in robot-assisted surgery.

Authors:  Ziheng Wang; Ann Majewicz Fey
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-09-25       Impact factor: 2.924

4.  Anatomical Region Segmentation for Objective Surgical Skill Assessment with Operating Room Motion Data.

Authors:  Yangming Li; Randall A Bly; R Alex Harbison; Ian M Humphreys; Mark E Whipple; Blake Hannaford; Kris S Moe
Journal:  J Neurol Surg B Skull Base       Date:  2017-07-31

5.  Surgomics: personalized prediction of morbidity, mortality and long-term outcome in surgery using machine learning on multimodal data.

Authors:  Martin Wagner; Johanna M Brandenburg; Sebastian Bodenstedt; André Schulze; Alexander C Jenke; Antonia Stern; Marie T J Daum; Lars Mündermann; Fiona R Kolbinger; Nithya Bhasker; Gerd Schneider; Grit Krause-Jüttler; Hisham Alwanni; Fleur Fritz-Kebede; Oliver Burgert; Dirk Wilhelm; Johannes Fallert; Felix Nickel; Lena Maier-Hein; Martin Dugas; Marius Distler; Jürgen Weitz; Beat-Peter Müller-Stich; Stefanie Speidel
Journal:  Surg Endosc       Date:  2022-09-28       Impact factor: 3.453

6.  Clearness of operating field: a surrogate for surgical skills on in vivo clinical data.

Authors:  Daochang Liu; Tingting Jiang; Yizhou Wang; Rulin Miao; Fei Shan; Ziyu Li
Journal:  Int J Comput Assist Radiol Surg       Date:  2020-10-12       Impact factor: 2.924

7.  Computer Vision in the Operating Room: Opportunities and Caveats.

Authors:  Lauren R Kennedy-Metz; Pietro Mascagni; Antonio Torralba; Roger D Dias; Pietro Perona; Julie A Shah; Nicolas Padoy; Marco A Zenati
Journal:  IEEE Trans Med Robot Bionics       Date:  2020-11-24

8.  How to Bring Surgery to the Next Level: Interpretable Skills Assessment in Robotic-Assisted Surgery.

Authors:  Kristen C Brown; Kiran D Bhattacharyya; Sue Kulason; Aneeq Zia; Anthony Jarc
Journal:  Visc Med       Date:  2020-10-28

Review 9.  Computer Vision in the Surgical Operating Room.

Authors:  François Chadebecq; Francisco Vasconcelos; Evangelos Mazomenos; Danail Stoyanov
Journal:  Visc Med       Date:  2020-10-15

10.  Exploring the surgical residents' experience of teaching and learning process in the operating room: A grounded theory study.

Authors:  Leila Sadati; Shahram Yazdani; Peigham Heidarpoor
Journal:  J Educ Health Promot       Date:  2021-05-31
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