A New Computer Enhanced Visual Learning Method to Train Urology Residents in Pediatric Orchiopexy: A Prototype for Accreditation Council for Graduate Medical Education Documentation

Maizels, Max; Yerkes, Elizabeth B.; Macejko, Amanda M.; Hagerty, Jennifer A.; Chaviano, Antonio H.; Cheng, Earl Y.; Liu, Dennis; Sarwark, John; Corcoran, Julia; Meyer, Theresa; Kaplan, William E.

doi:10.1016/j.juro.2008.04.077

Cited by 28 publications

(22 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Initial results show that 96% of residents improve their CEVL scores. 2 The average results improved by at least 50% from entry to best rating (P , .0001). Further research is needed to validate the CEVL scoring system and to compare it with global assessment ratings.…”

Section: Cevl Scriptmentioning

confidence: 93%

“…The module is offered to a limited number of other participating PDs for beta testing. 2 Our institutional experience shows that residents and attending physicians have found the CEVL method to be a practical way to teach and learn surgery. Residents are especially pleased with the reduced uncertainty about how to perform procedures and express increased confidence during surgery.…”

Section: Common Perceptions Of Residentsmentioning

confidence: 95%

“…Initial reliability investigations show that there were no substantial differences (by 1-way ANOVA) in rating skills performance using the CEVL method among 7 raters. 2 …”

Section: Limitations Of Data Analysismentioning

confidence: 99%

“…We developed CEVL as a tool to enable residents to obtain feedback on their surgical performance in an era of significant changes in medical education and practice. 2 CEVL is an alternative to the traditional process of learning procedural skills simply by performing more cases, frequently without a defined strategy to improve performance. We believe that teaching surgery using the CEVL method uses time in the operating room more efficiently, allowing residents to finish their rotations with better skills and more confidence than before.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Computer-Enhanced Visual Learning Method: A Paradigm to Teach and Document Surgical Skills

Maizels¹,

Mickelson²,

Yerkes³

et al. 2009

Journal of Graduate Medical Education

Self Cite

View full text Add to dashboard Cite

Changes in the environment for surgical residents' training are prompting residency programs to rethink and restructure how to teach surgical skills to residents.1 Among many changes causing concern, the reduction in duty hours is the one most frequently cited. Limits on residents' hours are a logical predicament because of the assumption that they result in reduced operative volume and fewer opportunities to teach residents in the operating room, with the potential to contribute to decreased surgical competency in residency graduates. We describe Computer-Enhanced Visual Learning (CEVL) as a pragmatic approach to improve residents' learning and participation in operative practice. We developed CEVL as a tool to enable residents to obtain feedback on their surgical performance in an era of significant changes in medical education and practice. 2CEVL is an alternative to the traditional process of learning procedural skills simply by performing more cases, frequently without a defined strategy to improve performance. We believe that teaching surgery using the CEVL method uses time in the operating room more efficiently, allowing residents to finish their rotations with better skills and more confidence than before. The objective of CEVL is to provide a method for learning surgery inside and outside of the operating room.CEVL is an Internet-based program that teaches pediatric urologic surgical procedures in 3 steps. First, residents use Internet access to study the procedure. Procedures are presented as components that incorporate intraoperative video and images, explanatory text, and computer animations. Second, residents perform the procedure with supervision. Third, residents study remediation strategies using online computerized learning resources. The residents build their skill sets using the deliberate practice-and case-focused feedback that CEVL provides. We believe that the method is widely applicable to teach residents to perform routine health care procedures. Background of Building CEVL

show abstract

Section: Cevl Scriptmentioning

confidence: 93%

Section: Common Perceptions Of Residentsmentioning

confidence: 95%

“…Initial reliability investigations show that there were no substantial differences (by 1-way ANOVA) in rating skills performance using the CEVL method among 7 raters. 2 …”

Section: Limitations Of Data Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Computer-Enhanced Visual Learning Method: A Paradigm to Teach and Document Surgical Skills

Maizels¹,

Mickelson²,

Yerkes³

et al. 2009

Journal of Graduate Medical Education

Self Cite

View full text Add to dashboard Cite

show abstract

“…Computer-assisted surgery (CAS) has been used successfully as a training tool in several studies: The use of CAS improved accuracy and shortened the learning curve for experienced surgeons performing hip resurfacing surgery [11,12]; CAS training improved early acquisition of simple orthopaedic skills with no long-term compromise [13]; and a computer-enhanced visual model improved trainee learning for urologic procedures [14].…”

Section: Introductionmentioning

confidence: 99%

Computer-assisted surgery simulations and directed practice of total knee arthroplasty: Educational benefits to the trainee

Myden

Anglin

Kopp

et al. 2012

Computer Aided Surgery

View full text Add to dashboard Cite

Orthopaedic residents typically learn to perform total knee arthroplasty (TKA) through an apprenticeship-type model, which is a necessarily slow process. Surgical skills courses, using artificial bones, have been shown to improve technical and cognitive skills significantly within a couple of days. The addition of computer-assisted surgery (CAS) simulations challenges the participants to consider the same task in a different context, promoting cognitive flexibility. We designed a hands-on educational intervention for junior residents with a conventional tibiofemoral TKA station, two different tibiofemoral CAS stations, and a CAS and conventional patellar resection station, including both qualitative and quantitative analyses. Qualitatively, structured interviews before and after the course were analyzed for recurring themes. Quantitatively, subjects were evaluated on their technical skills before and after the course, and on a multiple-choice knowledge test and error detection test after the course, in comparison to senior residents who performed only the testing. Four themes emerged: confidence, awareness, deepening knowledge and changed perspectives. The residents' attitudes to CAS changed from negative before the course to neutral or positive afterwards. The junior resident group completed 23% of tasks in the pre-course skills test and 75% of tasks on the post-test ( p < 0.01), compared to 45% of tasks completed by the senior resident group. High-impact educational interventions, promoting cognitive flexibility, would benefit trainees, attending surgeons, the healthcare system and patients.

show abstract

Automatic Detection and Scoring of Kidney Stones on Noncontrast CT Images Using S.T.O.N.E. Nephrolithometry: Combined Deep Learning and Thresholding Methods

Cui

Sun

et al. 2020

Mol Imaging Biol

View full text Add to dashboard Cite

A New Computer Enhanced Visual Learning Method to Train Urology Residents in Pediatric Orchiopexy: A Prototype for Accreditation Council for Graduate Medical Education Documentation

Cited by 28 publications

References 7 publications

Computer-Enhanced Visual Learning Method: A Paradigm to Teach and Document Surgical Skills

Computer-Enhanced Visual Learning Method: A Paradigm to Teach and Document Surgical Skills

Computer-assisted surgery simulations and directed practice of total knee arthroplasty: Educational benefits to the trainee

Automatic Detection and Scoring of Kidney Stones on Noncontrast CT Images Using S.T.O.N.E. Nephrolithometry: Combined Deep Learning and Thresholding Methods

Contact Info

Product

Resources

About