Surgical skill simulation training to proficiency reduces procedural errors among novice cardiac device implanters: a randomized study.

Aims: In cardiac device implantation, having both surgical skills and ability to manipulate catheter/lead/wire is crucial. Few cardiologists, however, receive formal surgical training prior to implanting. Skills are mostly acquired directly on-the-job and surgical technique varies across institutions; suboptimal approaches may increase complications.

Development and validation of metrics for a new RAPN training model.

Robot-assisted partial nephrectomy (RAPN) is a complex and index procedure that urologists need to learn how to perform safely. No validated performance metrics specifically developed for a RAPN training model (TM) exist. A Core Metrics Group specifically adapted human RAPN metrics to be used in a newly developed RAPN TM, explicitly defining phases, steps, errors, and critical errors.

Proposal of a standardized training curriculum for open and robot-assisted kidney transplantation.

Standardized training programs for open (OKT) and robot-assisted kidney transplantation (RAKT) remain unmet clinical needs. To fill this gap, we designed a modified Delphi Consensus aiming to propose the first structured surgical curricula for both OKT and RAKT, involving a multispecialty international panel of experts. Two web-based surveys were built drafting two separate series of statements (for OKT and RAKT, respectively).

Artificial Intelligence in Surgical Training for Kidney Cancer: A Systematic Review of the Literature.

The prevalence of renal cell carcinoma (RCC) is increasing due to advanced imaging techniques. Surgical resection is the standard treatment, involving complex radical and partial nephrectomy procedures that demand extensive training and planning. Furthermore, artificial intelligence (AI) can potentially aid the training process in the field of kidney cancer.

Discrimination, Reliability, Sensitivity, and Specificity of Robotic Surgical Proficiency Assessment With Global Evaluative Assessment of Robotic Skills and Binary Scoring Metrics: Results From a Randomized Controlled Trial.

Objective: To compare binary metrics and Global Evaluative Assessment of Robotic Skills (GEARS) evaluations of training outcome assessments for reliability, sensitivity, and specificity.

Background: GEARS-Likert-scale skills assessment are a widely accepted tool for robotic surgical training outcome evaluations. Proficiency-based progression (PBP) training is another methodology but uses binary performance metrics for evaluations.

Effect of Metrics-Based Simulation Training to Proficiency on Procedure Quality and Errors Among Novice Cardiac Device Implanters: The IMPROF Randomized Trial.

Importance: In cardiac device implant training, there is no common system to objectively assess trainees' ability to perform tasks at predetermined performance levels before in vivo practice; therefore, patients are potentially exposed to risks related to operators' early learning curve.

Objective: To assess the effect on implant performance quality of novel metrics-based simulation training to proficiency (proficiency-based progression [PBP]) vs traditional simulation-based training (SBT).

Design, Setting, And Participants: In this prospective randomized trial, conducted between March 8, 2022 and November 24, 2022, novice implanters were randomized (blinded) 1:1 to participate in an SBT curriculum (procedural knowledge e-learning and in-person simulation training) at an international skills training center, with proficiency demonstration requirements at each training stage for advancing (PBP approach) or without the requirements.

Proficiency-based progression training for robotic surgery skills training: a randomized clinical trial.

Objective: To determine whether proficiency-based progression (PBP) training leads to better robotic surgical performance compared to traditional training (TT), given that the value of PBP training for learning robotic surgical skills is unclear.

Materials And Methods: The PROVESA trial is a multicentric, prospective, randomized and blinded clinical study comparing PBP training with TT for robotic suturing and knot-tying anastomosis skills. A total of 36 robotic surgery-naïve junior residents were recruited from 16 training sites and 12 residency training programmes.

Development of objective performance metrics for ultrasound-guided internal jugular vein cannulation on behalf of the College of Anaesthesiologists of Ireland and observation of scores amongst novice and experienced operators.

Background: Ultrasound-guided, internal jugular venous (IJV) cannulation is a core technical skill for anaesthesiologists and intensivists.

Objectives: At a modified Delphi panel meeting, to define and reach consensus on a set of objective ultrasound-guided IJV cannulation performance metrics on behalf of the College of Anaesthesiologists of Ireland (CAI). To use these metrics to objectively score video recordings of novice and experienced anaesthesiologists.

Objective assessment of intraoperative skills for robot-assisted partial nephrectomy (RAPN).

RAPN training usually takes place in-vivo and methods vary across countries/institutions. No common system exists to objectively assess trainee capacity to perform RAPN at predetermined performance levels prior to in-vivo practice. The identification of objective performance metrics for RAPN training is a crucial starting point to improve training and surgical outcomes.

Metric-Based Simulation Training to Proficiency for Endovascular Thrombectomy in Ischemic Stroke.

Ischemic stroke is one of the leading causes of death and long-term disability in the West. Mechanical revascularization techniques are considered the standard of care for large vessel occlusive stroke. Traditional apprenticeship models involve doctors training their skills on patients.

International Expert Consensus on Metric-based Characterization of Robot-assisted Partial Nephrectomy.

Background: Robot-assisted partial nephrectomy (RAPN) training usually takes place in vivo, and methods vary across countries/institutions. No common system exists to objectively assess trainee ability to perform RAPN at predetermined performance levels prior to in vivo practice. The identification of objective performance metrics for RAPN training is a crucial starting point to improve training and surgical outcomes.

Discrimination, reliability, sensitivity, and specificity of metric-based assessment of an unstable pertrochanteric 31A2 intramedullary nailing procedure performed by experienced and novice surgeons.

Introduction: Identifying objective performance metrics for surgical training in orthopedic surgery is imperative for effective training and patient safety. The objective of this study was to determine if an internationally agreed, metric-based objective assessment of video recordings of an unstable pertrochanteric 31A2 intramedullary nailing procedure distinguished between the performance of experienced and novice orthopedic surgeons.

Materials And Methods: Previously agreed procedure metrics (i.

Intraoperative robotic-assisted low anterior rectal resection performance assessment using procedure-specific binary metrics and a global rating scale.

Background: This study aimed to evaluate the use of binary metric-based (proficiency-based progression; PBP) performance assessments and global evaluative assessment of robotic skills (GEARS) of a robotic-assisted low anterior rectal resection (RA-LAR) procedure.

Method: A prospective study of video analysis of RA-LAR procedures was carried out using the PBP metrics with binary parameters previously developed, and GEARS. Recordings were collected from five novice surgeons (≤30 RA-LAR previously performed) and seven experienced surgeons (>30 RA-LAR previously performed).

Development and Validation of the Metric-Based Assessment of a Robotic Dissection Task on an Avian Model.

Introduction: The introduction of robot-assisted surgical devices requires the application of objective performance metrics to verify performance levels.

Objective: To develop and validate (face, content, response process, and construct) the performance metrics for a robotic dissection task using a chicken model.

Methods: In a procedure characterization, we developed the performance metrics (i.

Does quality assured eLearning provide adequate preparation for robotic surgical skills; a prospective, randomized and multi-center study.

Purpose: In particular after the onset of the COVID-19 pandemic, there was a precipitous rush to implement virtual and online learning strategies in surgery and medicine. It is essential to understand whether this approach is sufficient and adequate to allow the development of robotic basic surgical skills. The main aim of the authors was to verify if the quality assured eLearning is sufficient to prepare individuals to perform a basic surgical robotic task.