Teaching in the robotic environment: Use of alternative approaches to guide operative instruction

Simulation training in urology

PURPOSE OF REVIEW

This review outlines recent innovations in simulation technology as it applies to urology. It is essential for the next generation of urologists to attain a solid foundation of technical and nontechnical skills, and simulation technology provides a variety of safe, controlled environments to acquire this baseline knowledge.

RECENT FINDINGS

With a focus on urology, this review first outlines the evidence to support surgical simulation, then discusses the strides being made in the development of 3D-printed models for surgical skill training and preoperative planning, virtual reality models for different urologic procedures, surgical skill assessment for simulation, and integration of simulation into urology residency curricula.

SUMMARY

Simulation continues to be an integral part of the journey towards the mastery of skills necessary for becoming an expert urologist. Clinicians and researchers should consider how to further incorporate simulation technology into residency training and help future generations of urologists throughout their career.

Common Components of General Surgery Robotic Educational Programs

OBJECTIVE

Robotically assisted surgery has become more common in general surgery, but there is limited guidance from the Accreditation Council for Graduate Medical Education (ACGME) regarding this type of training. We sought to determine common elements and differences in the robotic educational curricula developed by general surgery residency programs.

DESIGN

Robotic educational curricula were obtained from the 7 individuals who presented at the workshop, "Robotic Education in General Surgery" at the 2023 Association of Program Directors in Surgery annual meeting.

RESULTS

All 7 general surgery programs had training beginning intern year, required online robotic modules, had at least 1 dedicated simulation training console not used for clinical purposes, and ran dry and wet (tissue) robotic labs at least annually. All programs had bedside and console surgeon case minimums and had administrative support to run the educational programs. Differences existed regarding how training intern year was executed, the simulations required, clinical practice minimum requirements, how progress was monitored over time, and how case numbers were tracked. Some programs had salary support for a director of robotic education.

CONCLUSIONS

There are several common elements to robotic educational curricula in general surgery, however significant variation does exist between programs. Given the frequency of robotic use in general surgery and current lack of standardization, formal guidance from the ACGME specifically regarding robotic education in general surgery residency is warranted.

Telestration with augmented reality improves the performance of the first ten ex vivo porcine laparoscopic cholecystectomies: a randomized controlled study

INTRODUCTION

The learning curve in minimally invasive surgery (MIS) is steep compared to open surgery. One of the reasons is that training in the operating room in MIS is mainly limited to verbal instructions. The iSurgeon telestration device with augmented reality (AR) enables visual instructions, guidance, and feedback during MIS. This study aims to compare the effects of the iSurgeon on the training of novices performing repeated laparoscopic cholecystectomy (LC) on a porcine liver compared to traditional verbal instruction methods.

METHODS

Forty medical students were randomized into the iSurgeon and the control group. The iSurgeon group performed 10 LCs receiving interactive visual guidance. The control group performed 10 LCs receiving conventional verbal guidance. The performance assessment using Objective Structured Assessments of Technical Skills (OSATS) and Global Operative Assessment of Laparoscopic Skills (GOALS) scores, the total operating time, and complications were compared between the two groups.

RESULTS

The iSurgeon group performed LCs significantly better (global GOALS 17.3 ± 2.6 vs. 16 ± 2.6, p ≤ 0.001, LC specific GOALS 7 ± 2 vs. 5.9 ± 2.1, p ≤ 0.001, global OSATS 25.3 ± 4.3 vs. 23.5 ± 3.9, p ≤ 0.001, LC specific OSATS scores 50.8 ± 11.1 vs. 41.2 ± 9.4, p ≤ 0.001) compared to the control group. The iSurgeon group had significantly fewer intraoperative complications in total (2.7 ± 2.0 vs. 3.6 ± 2.0, p ≤ 0.001) than the control group. There was no difference in operating time (79.6 ± 25.7 vs. 84.5 ± 33.2 min, p = 0.087).

CONCLUSION

Visual guidance using the telestration device with AR, iSurgeon, improves performance and lowers the complication rates in LCs in novices compared to conventional verbal expert guidance.

How I Do It: Structured Narration for Cognitive Simulation-based Training in Robotic Surgery

Video in robotic surgical education is an important and effective training tool. The educational benefit of video training tools can be enhanced by incorporating cognitive simulation using mental imagery. Narration of robotic surgical training video is an under-explored aspect of video design. Narration can be structured to stimulate visualization and procedural mental mapping. To achieve this, narration should be constructed to follow operative phases and steps and include the procedural, technical and cognitive components. This approach provides a foundation for building an understanding of the key concepts required to safely complete a procedure.

Enhancing robotic efficiency through the eyes of robotic surgeons: sub-analysis of the expertise in perception during robotic surgery (ExPeRtS) study

BACKGROUND

Robotic technology affords surgeons many novel and useful features, but two stereotypes continue to prevail: robotic surgery is expensive and inefficient. To identify educational opportunities and improve operative efficiency, we analyzed expert commentary on videos of robotic surgery.

METHODS

Expert robotic surgeons, identified through high case volumes and contributions to the surgical literature, reviewed eight anonymous video clips portraying key portions of two robotic general surgery procedures. While watching, surgeons commented on what they saw on the screen. All interactions with participants were in person, recorded, transcribed, and subsequently analyzed. Using content analysis, researchers double-coded each transcript applying a consensus developed codebook.

RESULTS

Seventeen surgeons participated. The average participant was male (82.4%), 47 (SD = 6.6) years old, had 13.2 (SD = 8.23) years of teaching experience, worked in urban academic hospitals (64.7%) and had performed 643 (SD = 467) robotic operations at the time of interviews. Emphasis on efficiency (or lack thereof) surfaced across three main themes: overall case progression, robotic capabilities, and instrumentation. Experts verbally rewarded purposeful and "ergonomically sound" movements while language reflecting impatience with repetitive and indecisive movements was attributed to presumed inexperience. Efficient robotic capabilities included enhanced visualization, additional robotic arms to improve exposure, and wristed instruments. Finally, experts discussed instrument selection with regards to energy modality, safety features, cost, and versatility.

CONCLUSION

This study highlights three areas for improved efficiency: case progression, robotic capabilities, and instrumentation. Development of education materials within these themes could help surgical educators overcome one of robotic technology's persistent challenges.

A Multi-Institutional Needs Assessment in the Development of a Robotic Surgery Curriculum: Perceptions From Resident and Faculty Surgeons

BACKGROUND

The growing adoption of robotic-assisted surgery mandates residents must acquire robotic skills. No standardized curriculum for robotic surgery exists. Therefore, programs have developed their own curricula, which are often unstructured and based on resource availability. With this strategy programs may not adhere to scholarly approaches in curriculum development. We aimed to obtain a multi-institutional needs assessment to address training needs and identify integral components of a formalized robotic surgery curriculum.

METHODS

A 10-question survey was distributed to general surgery residents. A separate 7-question survey was sent to robotic faculty surgeons at 3 institutions. Survey questions queried demographics, opinions regarding robotic training, proficiency definitions, and identification of procedures and instructional strategies for a curriculum. Mann- Whitney U test and Fisher's exact test were performed to compare responses amongst residents and faculty. Spearman's correlation was used to identify relationships between experience or post-graduate year (PGY) with response selection.

RESULTS

Both residents and faculty believed robotic training should start in the PGY1 (55.1% vs 52%; p = 0.58). Faculty recognized robotic training to be more important compared to residents (84% vs 58.1%; p < 0.05). Both groups considered a minimum of 21 to 40 robotic cases to be sufficient exposure during training (p = 0.30). Cholecystectomy (82.4% vs 72%; p = 0.261), ventral hernia repair (89.2% vs 88%; p = 1.0), inguinal hernia repair (91.9% vs 92%; p = 1.0), and right colectomy (83.8% vs 80%; p = 0.7) were considered to be the most appropriate robotic procedures during training. Both groups concurred that bedside (91.9% vs 100%; p = 0.33) and console skills training (97.3% vs 100%; p = 1.0), small group simulation (94.6% vs 72% p = 0.005), and independent practice (87.8% vs 92% p = 0.73), were instructional strategies vital to a curriculum. Faculty considered online didactic modules (96% vs 59.5%; p < 0.05) to be more important, whereas residents favored small group experiences for fundamental skills (94.6% vs. 72%; p < 0.05) and procedure-based simulation (96% vs 64%; p < 0.05).

CONCLUSIONS

Our targeted needs assessment identified requisite components of a robotics curriculum, which are feasible and accepted by both residents and faculty. Medical educators can use this as a resource to develop a formal robotics training curriculum.

Transforming Surgical Education through a Resident Robotic Curriculum

Objective

Here, we describe a systematic approach to design, implement, and assess a robotic surgery curriculum for surgical residents. By describing our process, including identifying and addressing institutional challenges, we illustrate successful development of a robust curriculum.

Summary Background Data

As robotic-assisted surgeries increase, educational challenges have emerged and illustrate an alarming impact on medical training. Robotic curricula are frequently grounded in the industry's educational materials resulting in a variety of existing resident curricula that lack cognitive components and critical evaluation. As such, surgical educators struggle to identify the curricular restructuring needs that likely accompany emerging technologies. It is essential to develop a curricular framework for the surgical education community to approach the ongoing and inevitable integration of new technologies.

Methods

Our process parallels the widely accepted approach to curricular development in medical education described by Kern et al. Using this 6-step model, we describe derivation of a curriculum that was data driven, features multimodal educational strategies, and provides documentation methods that allow for continued evaluation and assessment at the individual and departmental level.

Results

This study highlights the systematic process of design, implementation and assessment of a robotic surgery curriculum for surgical residents. Built on a robust national and local needs assessment, and further strengthened by preemptive identification of institutional challenges, this curricular model includes a structured documentation system that allows for ongoing evaluation, assessment, and monitoring of curricular progress.

Conclusions

We illustrate a robustly built curricular structure that can be adopted, adapted, and successfully implemented at other training institutions around the world.

Robotic radical prostatectomy: difficult to start, fast to improve? Influence of surgical experience in robotic and open radical prostatectomy

Purpose

The assistance of robotic systems raises the concern of whether there is an improved learning in robotic-assisted radical prostatectomy (RARP) compared to open retropubic radical prostatectomy (ORP).

Methods

We retrospectively analyzed data from 1438 patients who underwent ORP (n = 735) or RARP (n = 703). For each procedure, the level of experience of three different surgeons was summarized. Perioperative and pathological parameters reflecting surgical performance were compared between both learning curves. RARP data were influenced by new introduction of the robotic system.

Results

The median patient age at surgery was 66 years (IQR 42–80). Patients in the RARP group were younger (p < 0.001) and had a lower oncological risk (p < 0.001). Inexperienced RARP surgeons had a higher pT2-PSM rate and lower lymph node yield (13.8 ± 4.7 vs. 14.7 ± 4.8; p = 0.03) than inexperienced ORP surgeons. After 100 procedures, RARP and ORP surgeons had the same pT2-PSM rate (8% vs. 8%; p = 0.8) and lymph node yield (15.4 ± 5.4 vs. 15.4 ± 5.1; p = 1.0). In multivariate analysis for ORP, surgical inexperience (≤ 100 cases) was an independent predictor of a longer operating time (OR 9.0; p < 0.001) and higher amount of blood loss (OR 2.9; p < 0.001). For RARP, surgical inexperience (≤ 100 cases) was a predictor of a longer operating time (OR 3.9; p < 0.001), higher amount of blood loss (OR 1.9; p = 0.004), higher pT2-PSM rate (OR 1.6; p = 0.03), and lower lymph node yield (OR 0.6; p = 0.001).

Conclusions

Surgical experience has a relevant impact on perioperative and pathological parameters RARP has a higher initial pT2-PSM rate and lower lymph node yield than ORP. This is relevant for patient selection for novice teaching in RARP.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00345-021-03763-w.

An interdisciplinary team-training protocol for robotic gynecologic surgery improves operating time and costs: analysis of a 4-year experience in a university hospital setting

Main aim of this study is to assess the effect of a structured, interdisciplinary, surgical, team-training protocol in robotic gynecologic surgery, with the gradual integration of an advanced nurse practitioner. Data from all robotic surgical procedures were prospectively acquired. The surgical team consisted of one experienced surgeon and two surgical fellows and the scrub nurse team from three advance nurse practitioners, specialized in robotic surgery. The training was performed in a four-phase manner over 4 years and included theoretical training, hands-on training and team-communication skills enhancement. Scrub nurses increasingly adopted an active role during surgery. For a period of 4 years, 175 patients could be included in the analysis. All of them underwent a robotic gynecologic procedure. Mean docking time decreased from 45.3 to 27.3 min (p < 0.001), mean operating time from 235 to 179 min (p = 0.0071) and costs per case from 17,891 to 14,731 Swiss Francs (p = 0.035). There were no statistically significant changes in perioperative complications and conversions to laparotomy. An interdisciplinary long-term training protocol for high specialized robotic surgery within a “fixed” team with the gradually addition of an advanced study nurse improves the efficacy of the procedure in terms of time and costs. Although the surgery is performed quicker, the same performance and quality of surgical care could be reached.