Preceptorship in robotic colorectal surgery: experience from the Australian private sector.

This article describes a post-fellowship preceptorship training program to train sub-specialty colorectal surgeons in gaining proficiency in robotic colorectal surgery using a dual-surgeon model in the Australian private sector. The Australian colorectal surgeon faces challenges in gaining robotic colorectal surgery proficiency with limited exposure and experience in the public setting where the majority of general and colorectal surgery training is currently conducted. This training model uses graded exposure with a range of simulation training, wet lab training, and clinical operative cases to progress through both competency and proficiency in robotic colorectal surgery which is mutually beneficial to surgeons and patients alike. Ongoing audit of practice has shown no adverse impacts.

The impact of resident training on robotic operative times: is there a July Effect?

It is unknown whether the July Effect (a theory that medical errors and organizational inefficiencies increase during the influx of new surgical residents) exists in urologic robotic-assisted surgery. The aim of this study was to investigate the impact of urology resident training on robotic operative times at the beginning of the academic year. A retrospective chart review was conducted for urologic robotic surgeries performed at a single institution between 2008 and 2019. Univariate and multivariate mix model analyses were performed to determine the association between operative time and patient age, estimated blood loss, case complexity, robotic surgical system (Si or Xi), and time of the academic year. Differences in surgery time and non-surgery time were assessed with/without resident presence. Operative time intervals were included in the analysis. Resident presence correlated with increased surgery time (38.6 min (p < 0.001)) and decreased non-surgery time (4.6 min (p < 0.001)). Surgery time involving residents decreased by 8.7 min after 4 months into the academic year (July-October), and by an additional 5.1 min after the next 4 months (p = 0.027, < 0.001). When compared across case types stratified by complexity, surgery time for cases with residents significantly varied. Cases without residents did not demonstrate such variability. Resident presence was associated with prolonged surgery time, with the largest effect occurring in the first 4 months and shortening later in the year. However, resident presence was associated with significantly reduced non-surgery time. These results help to understand how new trainees impact operating room times.

Residents underestimate their robotic performance: evaluating resident robotic console participation time.

Lack of formal national robotic curriculum results in a void of knowledge regarding appropriate progression of autonomy in robotic general surgery training. One midwestern academic surgical training program has demonstrated that residents expect to independently operate more on the robotic console than they perceive themselves to do. As such, our study sought to evaluate expectations of residents and faculty regarding resident participation versus actual console participation time (CPT) at a community general surgery training program. We surveyed residents and faculty in two phases. Initially, participants were asked to reflect on their perceptions and expectations from the previous six months. The second phase included surveys (collected over six months) after individual cases with subjective estimation of participation versus CPT calculated by the Intuitive Surgical, Inc. MyIntuitive application. Using Mann-Whitney U-Test, we compared resident perceptions of CPT to actual CPT by case complexity and post-graduate year (PGY). Faculty (n = 7) estimated they allowed residents to complete a median of 26-50% of simple and 0-25% of complex cases in the six months prior to the study. They expected senior residents (PGY-4 and PGY-5) to complete more: 51-75% of simple and 26-50% of complex cases. Residents (n = 13), PGY-2-PGY-5, estimated they completed less than faculty perceived (0-25% of simple and 0-25% of complex cases). Sixty-six post-case (after partial colectomy, abdominoperoneal resection, low anterior resection, cholecystectomy, inguinal/ventral hernia repair, and others) surveys were completed. Residents estimated after any case that they had completed 26-50% of the case. However, once examining their MyIntuitive report, they actually completed 51-75% of the case (median). Residents, especially PGY-4 and 5, completed a higher percentage than estimated of robotic cases. Our study confirms that residents can and should complete more of (and increasingly complex) robotic cases throughout training, like the transition of autonomy in open and laparoscopic surgery.

Need for formalized robotic training and curriculum in obstetrics and gynecology residency: an examination of current resident outlooks and perspectives.

The objectives of this study were to evaluate current robotic surgery training methodologies for ACGME-accredited obstetrics and gynecology (OB/GYN) residency programs, better understand current resident perspectives, and explore potential areas for improvement within resident education. A cross-sectional study was done of ACGME-accredited OB/GYN residents in the 2023-2024 academic year. The study was done on a national setting via web-based survey. 75 surveys were included. The study was conducted via a 33-question survey study using a mixture of multiple choice, multiple answer, and Likert scale questions. Participants noted that 98.7% of their institutions perform robotic surgery and 90.7% have access to robotic console trainers. Outside of the operating room, slightly more than half of participants (57.3%) have formalized robotics training curriculums. A variety of training modalities were noted to be utilized by residents with the most helpful being hands-on training (67.7%) followed by dual-assist console (45.6%). The least helpful was noted to be online modules (58.7%). Most residents either strongly agree (45.3%) or agree (36.0%) that standardized robotics curriculums should be implemented for all OB/GYN residency programs. The largest barriers to completion of this training were noted to be attending comfort with resident participation in the case (74.0%), personal time (58.9%), and availability or access to trainers (42.5%). A formalized and standardized robotic training curriculum should be considered for OB/GYN residents with a multi-modal model utilizing a combination of training modalities as well as dedicated didactic hours.

The importance of non-technical skills in robot-assisted surgery in gynaecology.

Robot-assisted surgery (RAS) in gynaecology has undergone exponential growth in recent decades, with utility in treating both benign and malignant gynaecological conditions. The technological complexities and amended theatre dynamics that RAS demands mean that effective non-technical skills (NTS) are vitally important to overcome these unique challenges. However, NTS have been neglected in RAS-training programmes with focus placed instead on the exclusive acquisition of technical skills (TS). NTS include teamwork, communication, leadership, situational awareness, decision-making and stress management. Communication is the most frequently cited NTS impacted during RAS, as the physical limitations imposed by the robotic hardware make communication exchange difficult. The full immersion that RAS enables can contribute to situational awareness deficits. However, RAS can complement communication and teamwork when multidisciplinary (MDT) surgeries (such as complex endometriosis excisions) are undertaken; dual-console capabilities facilitate the involvement of specialties such as general surgery and urology. The development of NTS in RAS cannot be achieved with in-situ experience alone, and current training is poorly standardised. RAS-training programmes and curricula for gynaecology do exist, however the integration of NTS remain limited. Simulation is a viable tool to facilitate enhanced-NTS integration, yet cost implications form a barrier to its wider implementation. However, given that RAS will continue to occupy a greater proportion of the gynaecological caseload, integration of NTS within gynaecological RAS training curricula is necessary. Patients undergoing gynaecological RAS would benefit from the improved safety standards and enhanced surgical outcomes that would result.

Optimizing laparoscopic and robotic skills through simulation in participants with limited or no prior experience: a systematic review and meta-analysis.

BACKGROUND: Simulation is an innovative tool for developing complex skills required for surgical training. The objective of this study was to determine the advancement of laparoscopic and robotic skills through simulation in participants with limited or no previous experience. METHODS: This is a systematic review and meta-analysis of randomized controlled trials (RCTs) in keeping with the Preferred Reporting Items for Systematic Reviews and Meta-analysis guidelines. We conducted searches using MEDLINE (PubMed), Web of Science, Google Scholar, and Cochrane Library. Variables analyzed were study characteristics, participant demographics, and characteristics of the learning program. Our main measures were effectiveness, surgical time, and errors. These were reported using standardized mean difference (SMD) with 95% CI (P < .05). Secondary measures included skill transfer and learning curve. RESULTS: A total of 17 RCTs were included and comprised 619 participants: 354 participants (57%) were in the simulation group and 265 (43%) in the control group. Results indicated that laparoscopic simulation effectively enhanced surgical skills (SMD, 0.59 [0.18-1]; P = .004) and was significantly associated with shorter surgical duration (SMD, -1.08 [-1.57 to -0.59]; P < .0001) and a fewer errors made (SMD, -1.91 [-3.13 to -0.70]; P = .002). In the robotic simulation, there was no difference in effectiveness (SMD, 0.17 [-0.19 to 0.52]; P = .36) or surgical time (SMD, 0.27 [-0.86 to 1.39]; P = .64). Furthermore, skills were found to be transferable from simulation to a real-life operating room (P < .05). CONCLUSION: Simulation is an effective tool for optimizing laparoscopic skills, even in participants with limited or no previous experience. This approach not only contributes to the reduction of surgical time and errors but also facilitates the transfer of skills to the surgical environment. In contrast, robotic simulation fails to maximize skill development, requiring previous experience in laparoscopy to achieve optimal levels of effectiveness.

[Experience of Introduction of Robotic-Assist Surgery at Regional Hospital].

Our hospital introduced the da Vinci Xi Surgical System in April 2022. At the same time, laparoscopic surgery was also introduced to produce endoscopic surgical skill qualification system: qualified surgeon. Open surgery for trainees was also continued as before, and young surgeons were instructed to always keep their motivation high. After the introduction of robotic surgery, conferences that were accessible to trainees were held on a regular basis. In addition, the environment was designed to allow anyone to train da Vinci Surgical System. The introduction of robotic surgery has certainly reduced the number of procedures performed by trainees, especially in rectal cancer. However, surgical outcomes were better after the introduction of robotic surgery. The trend was similar for both open and laparoscopic surgery. We report on our efforts to introduce robot-assisted surgery and the actual situation in which surgeons at various stages of their education can work together to achieve a win-win situation.

Three-arm robotic cholecystectomy: a novel, cost-effective method of delivering and learning robotic surgery in upper GI surgery.

Cholecystectomy is one of the commonest performed surgeries worldwide. With the introduction of robotic surgery, the numbers of robot-assisted cholecystectomies has risen over the past decade. Despite the proven use of this procedure as a training operation for those surgeons adopting robotics, the consumable cost of routine robotic cholecystectomy can be difficult to justify in the absence of evidence favouring or disputing this approach. Here, we describe a novel method for performing a robot-assisted cholecystectomy using a "three-arm" technique on the newer, 4th generation, da Vinci system. Whilst maintaining the ability to perform precision dissection, this method reduces the consumable cost by 46%. The initial series of 109 procedures proves this procedure to be safe, feasible, trainable and time efficient.

The development of tissue handling skills is sufficient and comparable after training in virtual reality or on a surgical robotic system: a prospective randomized trial.

BACKGROUND: Virtual reality is a frequently chosen method for learning the basics of robotic surgery. However, it is unclear whether tissue handling is adequately trained in VR training compared to training on a real robotic system. METHODS: In this randomized controlled trial, participants were split into two groups for "Fundamentals of Robotic Surgery (FRS)" training on either a DaVinci VR simulator (VR group) or a DaVinci robotic system (Robot group). All participants completed four tasks on the DaVinci robotic system before training (Baseline test), after proficiency in three FRS tasks (Midterm test), and after proficiency in all FRS tasks (Final test). Primary endpoints were forces applied across tests. RESULTS: This trial included 87 robotic novices, of which 43 and 44 participants received FRS training in VR group and Robot group, respectively. The Baseline test showed no significant differences in force application between the groups indicating a sufficient randomization. In the Midterm and Final test, the force application was not different between groups. Both groups displayed sufficient learning curves with significant improvement of force application. However, the Robot group needed significantly less repetitions in the three FRS tasks Ring tower (Robot: 2.48 vs. VR: 5.45; p < 0.001), Knot Tying (Robot: 5.34 vs. VR: 8.13; p = 0.006), and Vessel Energy Dissection (Robot: 2 vs. VR: 2.38; p = 0.001) until reaching proficiency. CONCLUSION: Robotic tissue handling skills improve significantly and comparably after both VR training and training on a real robotic system, but training on a VR simulator might be less efficient.

Laparoscopic but not open surgical skills can be transferred to robot-assisted surgery: A systematic review and meta-analysis.

BACKGROUND: With an increase in robot-assisted surgery across all specialties, adequate training and credentialing strategies need to be identified to ensure patients safety. The meta-analysis assesses the transferability of technical surgical skills between laparoscopic surgery, open surgery, and robot-assisted surgery. DESIGN: A systematic search was conducted in Medline, Cochrane Central Register of Controlled Trials, and Web of Science. Outcomes were categorized into time, process, product, and composite outcome measures and pooled separately using Hedges'g (standardized mean difference [SMD]). Subgroup analyses were performed to assess the effect of study design, virtual reality platforms and task difficulty. RESULTS: Out of 14,120 screened studies, 30 were included in the qualitative synthesis and 26 in the quantitative synthesis. Technical surgical skill transfer was demonstrated from laparoscopic to robot-assisted surgery (composite: SMD 0.40, 95%-confidence interval [CI] [0.19; 0.62], time: SMD 0.62, CI [0.33; 0.91]) and vice versa (composite: SMD 0.66, CI [0.33; 0.99], time [basic skills]: SMD 0.36, CI [0.01; 0.72]). No skill transfer was seen from open to robot-assisted surgery with limited available data. CONCLUSION: Technical surgical skills can be transferred from laparoscopic to robot-assisted surgery and vice versa. Robot-assisted and laparoscopic surgical skills training and credentialing should not be regarded separately, but a reasonable combination could shorten overall training times and increase efficiency. Previous experience in open surgery should not be considered as an imperative prerequisite for training in robot-assisted surgery. Recommendations for studies assessing skill transfer are proposed to increase comparability and significance of future studies. PROSPERO REGISTRATION NUMBER: PROSPERO CRD42018104507.

The learning curve of a novel seven-axis robot-assisted total hip arthroplasty system: a randomized controlled trial.

BACGROUND: The aim of this study was to assess the learning curve of a novel seven-axis robot-assisted total hip arthroplasty (RaTHA) system. METHODS: A total of 59 patients who underwent unilateral total hip arthroplasty at our institution from June 2022 to September 2022 were prospectively included in the study. In this randomized controlled clinical trial, robot-assisted THA (RaTHA) and Conventional THA (CoTHA) were performed using cumulative sum (CUSUM) analysis to evaluate the learning curve of the RaTHA system. The demographic data, preopera1tive clinical data, duration of operation, postoperative Harris Hip Score (HHS), postoperative Western Ontario and McMaster Universities Arthritis Index (WOMAC) score, and duration of operation between the learning stage and the proficiency stage of the RaTHA group were compared between the two groups. RESULTS: The average duration of operation of the RaTHA group was increased by 34.73 min compared with the CoTHA group (104.26 ± 19.33 vs. 69.53 ± 18.38 min, p < 0.01). The learning curve of the RaTHA system can be divided into learning stage and proficiency stage, and the former consists of the first 13 cases by CUSUM analysis. In the RaTHA group, the duration of operation decreased by 29.75 min in the proficiency stage compared to the learning stage (121.12 ± 12.84 vs.91.37 ± 12.92, p < 0.01). CONCLUSIONS: This study demonstrated that the surgical team required a learning curve of 13 cases to become proficient using the RaTHA system. The duration of operation, total blood loss, and drainage gradually shortened (decreased) with the learning curve stage, and the differences were statistically significant. TRIAL REGISTRATION: Number: ChiCTR2200061630, Date: 29/06/2022.

Assessment and application of non-technical skills in robotic-assisted surgery: a systematic review.

BACKGROUND: Undeniably, robotic-assisted surgery (RAS) has become very popular in recent decades, but it has introduced challenges to the workflow of the surgical team. Non-technical skills (NTS) have received less emphasis than technical skills in training and assessment. The systematic review aimed to update the evidence on the role of NTS in robotic surgery, specifically focusing on evaluating assessment tools and their utilisation in training and surgical education in robotic surgery. METHODS: A systematic literature search of PubMed, PsycINFO, MEDLINE, and EMBASE was conducted to identify primary articles on NTS in RAS. Messick's validity framework and the Modified Medical Education Research Study Quality Instrument were utilised to evaluate the quality of the validity evidence of the abstracted articles. RESULTS: Seventeen studies were eligible for the final analysis. Communication, environmental factors, anticipation and teamwork were key NTS for RAS. Team-related factors such as ambient noise and chatter, inconveniences due to repeated requests during the procedure and constraints due to poor design of the operating room may harm patient safety during RAS. Three novel rater-based scoring systems and one sensor-based method for assessing NTS in RAS were identified. Anticipation by the team to predict and execute the next move before an explicit verbal command improved the surgeon's situational awareness. CONCLUSION: This systematic review highlighted the paucity of reporting on non-technical skills in robotic surgery with only three bespoke objective assessment tools being identified. Communication, environmental factors, anticipation, and teamwork are the key non-technical skills reported in robotic surgery, and further research is required to investigate their benefits to improve patient safety during robotic surgery.

Use of Simulation For Training Advanced Colorectal Procedures.

OBJECTIVE: Simulation training for minimally invasive colorectal procedures is in developing stages. This study aims to assess the impact of simulation on procedural knowledge and simulated performance in laparoscopic low anterior resection (LLAR) and robotic right colectomy (RRC). DESIGN: LLAR and RRC simulation procedures were designed using human cadaveric models. Resident case experience and simulation selfassessments scores for operative ability and knowledge were collected before and after the simulation. Colorectal faculty assessed resident simulation performance using validated assessment scales (OSATS-GRS, GEARS). Paired t-tests, unpaired t-tests, Pearson's correlation, and descriptive statistics were applied in analyses. SETTING: Barnes-Jewish Hospital/Washington University School of Medicine in St. Louis, Missouri. PARTICIPANTS: Senior general surgery residents at large academic surgery program. RESULTS: Fifteen PGY4/PGY5 general surgery residents participated in each simulation. Mean LLAR knowledge score increased overall from 10.0 ±  2.0 to 11.5  ±  1.6 of 15 points (p = 0.0018); when stratified, this increase remained significant for the PGY4 cohort only. Mean confidence in ability to complete LLAR increased overall from 2.0 ±  0.8 to 2.8  ± 0.9 on a 5-point rating scale (p = 0.0013); when stratified, this increase remained significant for the PGY4 cohort only. Mean total OSATS GRS score was 28  ±  6.3 of 35 and had strong positive correlation with previous laparoscopic colorectal experience (r = 0.64, p = 0.0092). Mean RRC knowledge score increased from 9.4 ±  2.2 to 11.1 ±  1.5 of 15 points (p = 0.0030); when stratified, this increase again remained significant for the PGY4 cohort only. Mean confidence in ability to complete RRC increased from 1.9 ±  0.9 to 3.2  ±  1.1 (p = 0.0002) and was significant for both cohorts. CONCLUSIONS: Surgical trainees require opportunities to practice advanced minimally invasive colorectal procedures. Our simulation approach promotes increased procedural knowledge and resident confidence and offers a safe complement to live operative experience for trainee development. In the future, simulations will target trainees on the earlier part of the learning curve and be paired with live operative assessments to characterize longitudinal skill progression.

How Surgeons Think to Avoid Error: A Case Study of the Neurovascular Bundle Sparing During a Robotic Prostatectomy.

OBJECTIVE: To illustrate how experts efficiently navigate a "slowing down moment" to obtain optimal surgical outcomes using the neurovascular bundle sparing during a robotic prostatectomy as a case study. DESIGN: A series of semistructured interviews with four expert uro-oncologists were completed using a cognitive task analysis methodology. Cognitive task analysis, CTA, refers to the interview and extraction of a general body of knowledge. Each interview participant completed four 1 to 2-hour semistructured CTA interviews. The interview data were then deconstructed, coded, and analyzed using a grounded theory analysis to produce a CTA-grid for a robotic prostatectomy for each surgeon, with headings of: surgical steps, simplification maneuvers, visual cues, error/complication recognition, and error/complication management and avoidance. SETTING: The study took place at an academic teaching hospital located in an urban center in Canada. PARTICIPANTS: Four expert uro-oncologists participated in the study. RESULTS: Visual cues, landmarks, common pitfalls, and technique were identified as the 4 key components of the decision-making happening during a slowing down moment in the neurovascular bundle sparing during a robotic prostatectomy. CONCLUSION: The data obtained from the CTA is novel information identifying patterns and cues that expert surgeons use to inform their surgical decision-making and avoid errors. This decision-making knowledge of visual cues, landmarks, common pitfalls and techniques is also generalizable for other surgical subspecialties. Surgeon educators, surgical teaching programs and trainees looking to improve their decision-making skills could use these components to guide their educational strategies.

[How I Teach It: Robotic Surgery in the Upper GI Tract]. / How I Teach It: robotische Chirurgie am oberen Gastrointestinaltrakt.

In this manuscript, we present our concept for training in robotic surgery of the upper gastrointestinal tract. The training concept presented here focuses on the two surgical "user groups", assistants (table assists) and specialists (surgeons), and presents the core aspects of training for each group separately.For table assistants, we present opportunities for early involvement in robotics and our approach to learning the first steps in preparing for surgery, assisting during surgery, as well as communication as a key factor in robotic surgery and alternative training.For specialists who are to learn how to perform robotic procedures independently, we discuss virtual training using SimNow Trainer and our preferred early clinical application. We will also present assistance options such as the dual console setup and the telestration system. Finally, we present our training concept for developing robotic surgical skills in the upper gastrointestinal tract through a combination of partial steps and increasing difficulty of the procedures. In our view, it is essential to teach the stepstones of robotic surgery and to master them safely. To this end, training must be structured and regular so that more complex sub-steps and procedures can be taken over step by step.

Training and assessment for colorectal surgery and appendicectomy- a systematic review.

AIM: There is currently an increased focus on competency-based training, in which training and assessment play a crucial role. The aim of this systematic review is to create an overview of hands-on training methods and assessment tools for appendicectomy and colon and rectal surgery procedures using either an open, laparoscopic or robot-assisted approach. METHOD: A systematic review of Medline, Embase, Cochrane and Scopus databases was conducted following the PRISMA guidelines. We conducted the last search on 9 March 2023. All published papers describing hands-on training, evaluation of performance data and development of assessment tools were eligible. The quality of studies and the validity evidence of assessment tools are reported. RESULTS: Fifty-one studies were identified. Laparoscopic assessment tools are abundant, but the literature still lacks good-quality assessment tools for open appendicectomy, robotic colectomy and open rectal surgery. Overall, there is a lack of discussion regarding the establishment of pass/fail standards and the consequences of assessment. Virtual reality simulation is used more for appendicectomy than colorectal procedures. Only a few of the studies investigating training were of acceptable quality. There is a need for high-quality studies in open and robotic-assisted colon surgery and all approaches to rectal surgery. CONCLUSION: This review provides an overview of current training methods and assessment tools and identifies where more research is needed based on the quality of the studies and the current validity evidence.

Proficiency Levels and Validity Evidence for Scoring Metrics for a Virtual Reality and Inanimate Robotic Surgery Simulation Curriculum.

OBJECTIVE: Our institution recently implemented a virtual reality (VR) skills curriculum for general surgery residents using the SimNow simulator. Based on a content alignment study, we revised the curriculum to include only 20 of 33 VR tasks and we added 3 previously validated inanimate tasks. The purpose of this study was to establish expert-derived proficiency levels for all tasks and to evaluate the validity of the scoring for the VR tasks. DESIGN: Two expert robotic surgeons performed 5 repetitions of each VR and inanimate task. The trimmed mean (lowest scoring attempt and outliers [>2 standard deviations] were eliminated) was defined as the expert level for each task. For the VR tasks, expert levels were compared to resident performance to evaluate validity. SETTING: This study was conducted at the University of Texas Southwestern Medical Center (Dallas, TX), a tertiary care academic teaching hospital. PARTICIPANTS: Two expert robotic surgeons participated in this study. The data from 42 residents (PGY2-4) who completed the original curriculum was used to represent novice performance. RESULTS: Comparison of expert levels and resident performance was statistically significant for 15 VR tasks (supporting validity) and approached significance (p = 0.06, 0.09) for 2 VR tasks; expert levels were designated as proficiency levels for these 17 tasks. Group comparisons were clearly not significant (p = 0.2-0.8) for 3 VR tasks; 2 of these 3 tasks were retained as introductory exercises (with 3 repetitions required) and 1 was excluded. For the 3 inanimate tasks, expert levels minus 2 standard deviations were designated as proficiency levels. CONCLUSIONS: This analysis generated validity evidence for 15 VR tasks and established expert-derived proficiency levels for 17 VR tasks and 3 inanimate tasks. Our proposed curriculum now consists of 19 VR and 3 inanimate tasks using the selected proficiency levels. We anticipate that this design will maximize curriculum efficiency and effectiveness.

Competency in Robotic Surgery: Standard Setting for Robotic Suturing Using Objective Assessment and Expert Evaluation.

OBJECTIVE: Surgical skill assessment tools such as the End-to-End Assessment of Suturing Expertise (EASE) can differentiate a surgeon's experience level. In this simulation-based study, we define a competency benchmark for intraoperative robotic suturing using EASE as a validated measure of performance. DESIGN: Participants conducted a dry-lab vesicourethral anastomosis (VUA) exercise. Videos were each independently scored by 2 trained, blinded reviewers using EASE. Inter-rater reliability was measured with prevalence-adjusted bias-adjusted Kappa (PABAK) using 2 example videos. All videos were reviewed by an expert surgeon, who determined if the suturing skills exhibited were at a competency level expected for residency graduation (pass or fail). The Contrasting Group (CG) method was then used to set a pass/fail score at the intercept of the pass and fail cohorts' EASE score distributions. SETTING: Keck School of Medicine, University of Southern California. PARTICIPANTS: Twenty-six participants: 8 medical students, 8 junior residents (PGY 1-2), 7 senior residents (PGY 3-5) and 3 attending urologists. RESULTS: After 1 round of consensus-building, average PABAK across EASE subskills was 0.90 (Range 0.67-1.0). The CG method produced a competency benchmark EASE score of >35/39, with a pass rate of 10/26 (38%); 27% were deemed competent by expert evaluation. False positives and negatives were defined as medical students who passed and attendings who failed the assessment, respectively. This pass/fail score produced no false positives or negatives, and fewer JR than SR were considered competent by both the expert and CG benchmark. CONCLUSIONS: Using an absolute standard setting method, competency scores were set to identify trainees who could competently execute a standardized dry-lab robotic suturing exercise. This standard can be used for high stakes decisions regarding a trainee's technical readiness for independent practice. Future work includes validation of this standard in the clinical environment through correlation with clinical outcomes.