- Research
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A systematic review of robotic colorectal surgery programs worldwide and a comprehensive description of local robotic training programme
BMC Medical Education volume 25, Article number: 803 (2025)
Abstract
Background
Robotic-assisted colorectal surgery (RACS) is gaining widespread adoption, with a growing number of procedures performed globally. These have been performed mostly by consultants, many of whom have gained sufficient proficiency to begin to educate their trainees. RACS offers a range of benefits to the surgeon and patient, yet safe and effective utilisation hinges on well-structured training programs for colorectal trainees within their general surgery residency. This systematic review aimed to evaluate the structure currently employed worldwide in RACS training programs for colorectal surgery trainees. In addition it delineates the conceptualization and implementation of a locally developed RACS program tailored to senior colorectal trainees and fellows at our Trust.
Methods
A comprehensive search of Ovid Medline and Embase databases (January 2010- March 2024) following PRISMA guidelines identified six studies reporting on RACS training curricula. Critical analysis of programme structure and curricula tools utilised was performed. Articles involving training of consultants were excluded. The quality and bias score of each study were assessed using the Newcastle Ottawa Score for observational studies.
Results
Six out of 77 studies were selected as suitable for analysis describing RACS training using Da Vinci platform. All apart from one programme described a phased or parallel robotic curriculum with four studies incorporating theoretical knowledge and laboratory or cadaveric training. Six programmes incorporated simulation, bedside assisting and console training. The use of validated objective or subjective metrics at each phase varied. Formal feedback is provided in only two of the programmes. Reflecting on above results we present our Trust training program which run over the last two years. Our program ensures clear learning goals for trainees and trainers, maintains patient safety, and is easily replicated across other UK RACS units.
Conclusion
The establishment of a standardised curriculum for colorectal surgery training worldwide, including in the UK, is vital. Currently, there is a scarcity of validated, objective assessment methods, which must be adequately standardised to create consistent progression criteria and competency-based metrics. Standardising these methods will enable reliable and robust assessment of trainee progression and competence to create a generation of robotically competent colorectal surgeons within their standard training program timeframe.
PROSPERO database registration
No.-CRD42024530340.
Background
Colorectal surgery has seen a substantial growth in the use of the robotic platform over the last decade [1,2,3,4]. The increasing adoption of robotic-assisted colorectal surgery (RACS) appears to be consistent across colorectal centres equipped with a robotic platform. This trend is driven by the perceived advantages of RACS, including improved ergonomics, view stability, enhanced dexterity, and facilitation of minimally invasive surgery in the pelvis. Notably, studies have reported non-inferior early outcomes for RACS compared to conventional laparoscopic surgery, further supporting its growing utilization [5]
The growing adoption of RACS has necessitated a corresponding increase in demand for standardized and effective RACS training for colorectal surgical trainees. This is crucial to ensure the safe dissemination of the technology and maintain high-quality clinical care and patient outcomes. Consequently, incorporating structured and standardized RACS training programs into colorectal surgical training curricula is essential to upskill trainees and equip them for this evolving surgical landscape. Traditional surgical training has been hindered by concerns regarding steep learning curves however, emerging evidence suggests that robotic training may mitigate these risks and accelerate skill acquisition in laparoscopic surgery [6]. This together with the surging demand for robotic surgery training among colorectal trainees and their trainers has prompted individual centres s to introduce training on robotic platforms. However, many of these programmes lack a formal curriculum to guide this crucial learning experience. Currently standardised curricula, such as the Fundamentals of Robotic Surgery and the da Vinci Technology Training Pathway exist to facilitate robotic surgery training for established surgeons (consultants) [7, 8].
This systematic review aims to identify and critically evaluate existing robotic training programs specifically designed for colorectal and general surgery trainees who are not yet consultants. By systematically synthesizing existing literature, the study team seeks to delineate the RACS programme’s structure, challenges, and assessment of competency as well as advancements in training initiatives tailored to the nuances of robotic-assisted colorectal procedures. Additionally, the study delineated the conceptualization and implementation of a locally developed program tailored to the robotic training of senior colorectal trainees and fellows in our Trust. The term “Trust” refers to a specific type of local healthcare structure in the UK, encompassing two or more hospitals under a single administrative unit. In our case, the Trust comprises two hospitals.
The proposed study will address the following objectives:
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To review the current status 20 - 30 of RACS training programmes of trainees (residents or fellows) worldwide.
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To assess the structure of the described programmes based on 4 categories: gaining of theoretical knowledge, performed simulations, case observations, and modular approach towards specific surgeries.
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To conclude recommendations for future curriculum for training colorectal surgery.
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To showcase the innovative aspects and key components of our Trust's newly developed robotic training program for senior colorectal trainees and fellows.
Materials and methods
To evaluate the current state of RACS training programs worldwide, a systematic review was conducted to assess the inclusion of theoretical knowledge, simulation training, case observation, and a modular approach for specific procedures. Given the substantial variability in RACS training program structures, a qualitative analysis was employed to explore the diverse approaches and identify key components. The heterogeneity of these programs precluded the possibility of conducting a quantitative meta-analysis.
This qualitative systematic review was conducted in line with the protocol, in accordance with the Cochrane Handbook for Systematic Reviews of Interventions and reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines [9]. This review was registered in PROSPERO: CRD42024530340. This project is registered with Anglia Ruskin University London Research ethics committee and holds application number: ETH2324 - 9358. As this research falls into the ‘green’ (low risk category), it does not require ethical approval.
Eligibility criteria
Studies meeting the following criteria will be included: (1) focus on RACS training programmes at trainee level (non-consultant), (2) report on programme design, implementation, or evaluation of competencies in RACS, (3) published in English, and (4) provide relevant data on program characteristics, curriculum content, educational methods, participant demographics, and outcomes. Reviews, studies not meeting these criteria or focusing on other surgical specialties or non-robotic surgical techniques as well as studies focusing on one key singular component i.e. simulation or cadaveric training alone will be excluded.
Information sources
A comprehensive search strategy was employed to identify studies investigating the effectiveness of RACS training programs. Electronic databases, including PubMed and Ovid MEDLINE, were searched using a combination of Medical Subject Headings (MeSH) terms and relevant keywords. The search strategy included the following MeSH terms:"Colorectal Surgery"and"Robotic Surgical Procedures."Additionally, a range of relevant keywords will be utilised, encompassing terms such as"simulation training,""training programs,""educational curriculum,""fellowship,"and"residency."The search was restricted to studies published between January 1, 2014, and March 25, 2024. The detailed search string was formulated using Boolean operators (AND, OR, NOT) to ensure the retrieval of the most relevant and up-to-date literature.
Search strategy
The MEDLINE and Embase (January 2010 to 25/03/2024) were searched using the following search strategy:
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colorectal surgery.mp. or Colorectal Surgery/(11860)
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robotic.mp. or Robotics/(63786)
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Robotic Surgical Procedures/and robotic colorectal surgery.mp. and Colorectal Surgery/(72)
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Simulation Training/or training.mp. (622437)
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training programmes.mp. or Education, Medical, Graduate/(37998)
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Teaching/or teaching.mp. (225105)
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curriculum.mp. or Curriculum/(117008)
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fellowship.mp. or"Fellowships and Scholarships"/(19320)
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1 and 2 (694)
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3 or 9 (694)
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4 or 5 or 6 or 7 or 8 (883822)
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10 and 11 (105)
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limit 12 to (English language and humans) (77)
A total of 77 articles were identified.
Selection and data collection process
A two-stage screening process was implemented to identify relevant studies. Titles and abstracts were independently screened against pre-defined inclusion/exclusion criteria by two blinded reviewers (VB and HKSIS). Discrepancies were resolved through consensus or by a third reviewer (NR). Duplicate removal was performed using Mendeley software. Data extraction from included studies was facilitated by a standardised data extraction attached as Appendix file 1.
Data items
Given the qualitative nature of the studies, the data items will focus on programme characteristics and not clinical outcomes.
Study characteristics
Author(s): Last name(s) and initials of all authors.
Year of publication: Year the article was published.
Country: Country where the study was conducted.
Type of Study: Retrospective or prospective nature of the study.
Programme characteristics
Name of programme: The specific name of the RACS training program if applicable.
Level of trainee: (e.g., resident, fellow etc.)
Phased programme: Whether the programme has a defined structure with progressive learning stages (Yes/No) and the number of these.
Duration of programme: Total length of the training programme in years.
Robotic platform description: The type of robotic platform used to train.
Training components
Theoretical knowledge: Description of how trainees gained theoretical knowledge in RACS (e.g., lectures, online modules, textbooks) and learning objectives.
Simulation experience: Description of the simulation modalities or platform used for training (e.g., benchtop simulators, virtual reality (VR) simulators) and learning objectives.
Dry/Wet lab experience: Description of the hands-on training using non-living tissues or animal models and learning objectives.
Bedside assisting experience: Description of how trainees gained experience assisting during RACS procedures including number of procedures required and learning objectives.
Console experience: Description of how trainees gained experience operating the robotic console during surgery and learning objectives.
Component-based approach: Whether the programme uses a component based approach for specific types of surgery.
Feedback from trainers: Description of how trainees received feedback from trainers.
Primary outcome of the study analysed: The main outcome measure investigated by the original study.
Study risk of bias assessment and reporting
The methodological quality of included studies was appraised using the Newcastle–Ottawa Quality Assessment Scale (NOS), a standardized tool designed for evaluating non-randomized study designs. The NOS assigns a star rating to studies based on three domains: participant selection, comparability of groups, and outcome assessment. Studies were categorized as having low, moderate, or high risk of bias according to their total star rating: 7–9 stars, 4–6 stars, and 4 stars, respectively [10].
Synthesis methods
Two reviewers (VB and HKSIS) independently screened and assessed studies based on pre-defined criteria (PICO framework) to ensure studies describe training programmes for RACS trainees. Data from eligible studies were extracted using a standardised form as mentioned above. Qualitative data will be thematically analysed. A narrative synthesis will summarise programme characteristics and outcomes, while thematic analysis will identify key themes across studies. We explored potential sources of heterogeneity through subgroup themed analysis.
Local robotics program development
Upon the attainment of plateau in their learning curve by three main colorectal surgeons and the acquisition of a second robotic console within the department, a strategic framework was developed to establish a robust and functional robotic training program locally, which is based on above described principles: theoretical knowledge achievement, simulation training, case observations and bedside assistance as well as modular approach towards colorectal procedures.
This program was designed to optimize the training experience of senior trainees during their annual rotations within the Trust. As a high-volume colorectal unit with a skilled faculty and a cohort of trainees demonstrating keen interest in robotic setup and troubleshooting, a local structured training curriculum was devised. This local curriculum incorporates and clearly defines training stages and a transparent evaluation mechanism.
Based on our experience a successful implementation of a RACS training program necessitates institutional support and adequate platform, second robotic console being essential in this process. As one of the eight nationally recognized high-volume elective surgical hubs, our Trust benefits from an exceptionally experienced theatre team with advanced training in RACS. This institutional strength provides a fertile environment for the development of our RACS training program. The proposed local curriculum uses a four-phase structured and sequential goal-oriented framework with clear, measurable objectives that can be assessed dynamically throughout the training process within one year during trainee rotation. The modular program is replicable across other robotic units within a region to allow a trainee passport to be eventually created and final certificate of completion to be earned when they have reached the required standard. The certificate represents attainment of basic competency with the Da Vinci Robotic System (Intuitive Surgical Inc., Mountain View, California, USA) and does not necessarily equate to competency with performing a particular colectomy – which is assessed and measured using the standard Joint Committee of Surgical Training (JCST) pathway.
Results
Study selection and basic characteristics
A total of 77 studies were initially identified. After review of abstracts and articles, only six were suitable for inclusion in this review (Fig. 1) [10,11,12,13,14,15,16]. Fifty percent of the studies were carried out in the USA. Four out of six are retrospective cohort studies. The remaining two were prospective in nature (Table 1). All training was carried out on the Da Vinci Robotic System where four out of six used the Xi platform, one used both the Xi or Si platform and one did not specify further. The level of colorectal trainees observed varied from junior trainees to post Certificate of Completion of Training (CCT) colorectal fellows. All apart from one of the programmes described a phased or parallel robotic curriculum. Common themes identified included the use of theoretical knowledge, laboratory or cadaveric training, additional simulation, bedside assisting, and console training as core curricula educational tools. Feedback was only utilised in two programmes, and this is also critically evaluated. The results did not allow for subgroup analysis on heterogeneity to be performed.
Theoretical knowledge acquisition
Four out of six studies incorporated theoretical knowledge acquisition into the curricula (Table 2). All four utilised online modules as a means of educating trainees on basic design and operating the robotic platform. Martin et al. also utilised online videos with face-to-face webinars while Waters et al. included a console safety and robotic accreditation course [14, 15]. Transferring the theoretical knowledge into practical experience such as docking the robot, orientating the limbs, exchanging the instruments, and troubleshooting under supervision by Intuitive representatives was performed in one study [16]. Apart from the robotic accreditation course, all other theoretical knowledge acquisition was performed in the early phases of the curriculum prior to console experience. Unruh et al. and Martin et al. commented briefly that the online modules their trainees utilise are provided by Intuitive and have built in assessment modules or are documented as completed respectively [14, 16]. Assessment parameters are not further described.
Dry and wet/cadaveric training
Four out of six studies incorporated laboratory or cadaveric training into the curricula (Table 3). Only two studies stated objectives of their courses, both of which were aimed at achieving basic robotic platform competencies [12, 13]. Both occurred prior to operating room experience. Waters et al. incorporates a ‘Hands on dry lab’ to be completed prior to operating room experience [15]. The remaining cadaveric courses were completed either prior to or in conjunction with console experience [14, 15]. None stated metrics for achieving laboratory training competencies.
Evaluation of simulation training
All programmes incorporated VR simulation in their curricula (Table 4). Two out of six studies clearly state a score of greater than 90% should be achieved on the simulation modules [14, 16]. One study suggests benchmarks for progression from simulation were in place, but this metric is not transparent as the scores and domains are not stated [15]. Bolger et al. suggests a minimum of 30 h of simulation as a benchmark for measuring skill acquisition [11]. Three out of five studies incorporate simulation prior to console experience [11,12,13, 15] while two use it in conjunction with bedside and console experience [14, 16].
Bedside assisting
All programmes incorporated bedside assisting in their curricula (Table 5). Learning objectives for bedside assistants is documented in only three studies [13, 15, 16] and it occurs prior to console experience in four studies [11, 13, 15, 16]. Martin et al. incorporates bedside assisting in the ‘Equivalency certification’ phase of their programme which also includes console experience [14] while Collins et al. do not specify when bedside assisting has taken place [12]. Proficiency was assumed after 10 bedside assist procedures in three studies [11, 14, 16], 30 in two studies [13, 15]. Collins et al. did not specify any metric of assessment [12].
Console training
All programmes incorporated console training in their curricula (Table 6). Four out of six implemented a component-based approach to performing cases on the console while training [13,14,15,16]. Console training was consistently placed in the last phase of the curricula however not necessarily on its own. Ongoing simulation took place in Unruh et al. [16] while bedside assisting and an advanced cadaveric course occurred in conjunction with console experience in Martin et al. [14]. All trainees were supervised by more senior surgeons. Performance metrics were not stated for any of the six studies.
Feedback
Feedback is provided in two of the programmes (Table 1). Waters et al. provided feedback at multiple levels: informal and formal feedback during simulation, formal feedback on operative technique, task management, situational awareness and assistant communication during the robotic accreditation course, formal intra-operative and post-operative feedback on positives and negative with informal post-operative feedback utilising video recordings of the case [15]. In Unruh et al. feedback regarding operative performance is provided from the attending surgeon to the trainee in several formats including informal verbal feedback and review of video recordings with formal feedback via SIMPL evaluation app and/or the Global Evaluative Assessment of Robotic Skills (GEARS) form [16].
Risk of bias in studies/reporting biases
The quality assessment of the included studies is displayed in Table 7. All the studies were of good quality, with 100% scoring 7 stars or more on Newcastle–Ottawa Assessment Scale. All included studies are within low-risk category.
Phases of our local training program
We present a comprehensive, standardized and sequential colorectal robotic surgery training program used within our Trust for the last year. Whilst designed primarily for colorectal trainees on the Da Vinci Xi surgical robot (Intuitive Surgical, Inc, Santa Clara, CA), the program could be easily adapted to alternative robotic platforms and the modular structure offers flexibility to achieve components of the program in different hospital placements. It is designed to accommodate senior colorectal trainee who are deemed suitable by experience to master robotic surgical techniques, which is achievable within one year timeframe in our Trust and the program is reproducible where sufficient experience exists.
Our program is divided into four progressive phases. The phases are sequential in nature to allow progression of surgical skill, however there is flexibility in the program for blended learning such that several objectives in two phases can be achieved during the same training operating list. Consultant trainers have performed on average around 100 robotic procedures each. We ensure one trainee per Consultant training list to maximise accessibility to theatre and volume of caseload.
Phase one serves as a foundational preparation for the entire year. Phases two, three and four involve an increase in complexity, ultimately equipping candidates with the necessary robotic surgical skills. Phase four is dedicated to trainees capable of performing key component parts or the entire RACS procedure under supervision by their consultant trainer.
Phase one is the preparatory phase laying the groundwork for subsequent clinical exposure. It covers the theoretical basics of robotic surgery with online self-directed learning modules and hands-on dry lab training to become familiar with the device. Trainees due to start in our Colorectal unit are given access to a comprehensive online platform containing mandatory online modules that can be completed prior to starting their placement. These are designed to equip trainees with a solid theoretical foundation in robotic surgery. The modules cover a broad range of topics, including the structure and components of Da Vinci Robotic System, the advantages and limitations of robotic surgery, patient safety considerations and patient selection criteria. During the first three months of their rotation, trainees participate in a specialized Basic Gastro-Intestinal (GI) Robotic Skills Course. This course is conducted by local faculty, comprising experienced colorectal and upper gastrointestinal robotic surgeons. The course combines didactic sessions with hands-on training in a dry lab setting, allowing trainees to translate their theoretical knowledge as general principles of robotic surgery, types of instruments, ports and energy devices into practical skills and concepts. During this period our trainees gain exposure to the robotic theatre environment, observe surgeries and assist their allocated trainers gaining an important milestone achievement of phase one i.e. their first 10 assisted cases. Our trainers consider that due to factors such as academic knowledge, work ethic, patience, ability to take directions, and efficient communication, this phase, as well as subsequent phases, can potentially be completed within a shorter timeframe than initially anticipated. The individual trainee's progress will depend on these factors, as well as their overall commitment to the program.
Phase two focuses on refining technical proficiency and integrating theoretical knowledge into practical surgical application. Trainees are required to achieve a high level of competency in virtual simulation exercises, including Sea spikes, Ring rollercoaster 1 and 2, Camera targeting 1 and 2, and Wrist articulation 1 and 2, with a minimum performance threshold of 90% and above.
Concurrent with simulation-based training, trainees develop a comprehensive understanding of operating room setup understanding each member of robotic theatre role as well as patient setup on operating table and port placement strategies. They continue to be actively involved in surgical cases under the direct supervision of experienced surgeons, gaining exposure to instrument exchange, camera manipulation, and effective surgeon-robot interaction. A fundamental aspect of this phase involves mastering the safe and efficient management of robotic arms, including an in-depth understanding of the robot's external interaction with the patient. This systematic introduction to advanced surgical techniques lays the foundation for subsequent phases of training.
Upon advancement to Phase Three, trainees engage in an intermediate-level robotic skills course delivered by local faculty. Trainees are introduced to simulation-based exercises focused on right-sided colectomies utilizing a component-based approach on a hydrogel surgical training right hemicolectomy model. This builds upon the foundational skills acquired in Phase Two and prepares trainees for increased autonomy in the operating room. As by the course completion, trainees assumed the role of assistant surgeons for approximately 20–30 cases they transitioned to the robotic console. To facilitate the integration of acquired skills into clinical practice, trainees gradually increase their console time, optimizing the utilization of robotic arms and energy sources. Their surgical performance is subjected to regular, objective assessment by experienced trainers to ensure competency development using GEARS form [17]. To complement clinical experience and maintain technical proficiency, trainees undertake advanced simulation exercises, including Spikes Level 3 and Camera Level 3, Suturing × 2 modules and energy switching with a minimum performance threshold of 90%. Furthermore, trainees continue to explore the component-based approach for both right and left-sided resections, enhancing their understanding of complex surgical procedures.
Phase 3 focuses on the development of advanced surgical skills and the gradual application of these skills in console training setting. During this phase, trainees are guided towards achieving competence in specific surgical techniques, such as instrument switching during lateral mobilization of the bowel, application of haemostatic clips, and positioning as well as firing of stapling devices.
As trainees gain proficiency in these foundational skills, they are gradually introduced to more complex aspects. This progression typically involves taking on increasing responsibility for specific portions of colonic resections. By the end of this phase, trainees should be able to confidently perform a small portion of these procedures under the supervision of their mentors.
This phase emphasizes the balance between theoretical knowledge, simulated practice, and supervised clinical experience to foster the development of confident and competent robotic surgeons.
Through a combination of supervised practice and clinical exposure, trainees develop the skills and confidence required to contribute meaningfully to understand robotic component-based approach for each individual surgery.
Phase 4 represents the pinnacle of the training process, where trainees demonstrate mastery of advanced surgical skills and the ability to independently perform robotic colorectal procedures.
A key objective of this phase is to equip trainees with the skills to confidently manipulate surgical instruments, collaborate effectively with the bedside assistant to troubleshoot procedural challenges, and perform index procedures with meticulous attention to tissue handling. Trainees should demonstrate proficiency in exchanging tissue smoothly and efficiently, minimizing the risk of inadvertent damage. Trainees should be able to complete the majority of a right hemicolectomy as well as a high anterior resection with a supervisor helping at the training console. Overall, a minimum of 20 cases is required to be completed with the majority of procedure steps performed by the trainee at the main console.
While high anterior resection is included as a component of Phase 4, we recognize the unique complexities of rectal resection and splenic flexure mobilisation. Based on our experience the study team believe that a separate training program may be necessary to achieve optimal proficiency in this specialized above-mentioned procedures. Upon successful completion of the local RACS training program, trainees who meet the established criteria will receive the following certifications:
Trust Robotic Lead Sign-Off and Certificate of Completion of Basic Robotic Colorectal Training approved by their training programme director. This dual certification serves as a formal recognition of the trainee's achievements. To visually represent the trainee though our local RACS training program, we are presenting a flowchart outlining the key stages and milestones (Fig. 2).
Discussion
The ideal structure or implementation of a robotics curriculum for colorectal trainees has not previously been defined. Experience from developing laparoscopic curricula for trainees as well as robotic curricula for consultants has highlighted several important components to any training programme. These include incorporation of theoretical knowledge, simulation, bedside assisting, proctoring utilising a component-based approach, a proficiency-based approach and feedback [6, 16, 18]. It is also necessary to have clear goals and objectives, validated metrics to assess proficiency at each step, as well as a program that is reproducible [18, 19].
Theoretical knowledge acquisition in surgery is well known to improve efficiency as well as decrease learning curves [20, 21, 22]. With respect to robotic surgery understanding how the robotic platform works is key. This includes port and limb positioning, docking and un-docking, camera movement, inserting and exchanging of instruments and troubleshooting. It is sensible that this constitutes the first part of any robotic curriculum for the trainee as it will avoid expensive equipment damage, improve their learning curve as well as ensure patient safety [18]. This is largely what is observed in our included studies although additional refresher modules may have a role in later stages.
Common simulation modalities incorporated in surgical education include dry laboratory, wet laboratory, and VR. Each have their advantages and disadvantages but the use of a combination of modalities achieves accurate visual and tactile cues that mimic intra-operative reality [18]. Primarily, the objective is to establish robust robotic skill credentialing and ensure the portability of robotic skillsets prior to surgical intervention [23]. Virtual simulation using the Da Vinci Robotic System Surgical Skills Simulator has been shown to have good predictive validity [24, 25] and contains exercises to achieve both. All the included studies include dry laboratory and VR simulation; however, the main criticism is that performance metrics, subjective or objective, are poorly declared. Standardised metrics allow educational tools to also serve as credentialing tools, ensuring a specific skill has been mastered before the trainee progresses to the next more complex phase. In fact, proficiency-based progression with benchmarks set at each phase, transparent to both the trainee and the trainer, is effective, fair to all parties and predicts improved skill acquisition when compared to trainees in curricula without objective metrics [26, 27]. Fluency, task completion, number of errors and overall performance are examples of subjective metrics commonly used by assessors in laboratory training and should be taken into consideration when designing curricula and suitability for progression [28]. An objective score of greater than 90% is commonly used in VR simulation [29]. Bolger et al. utilises duration of simulation (30 h minimum) to assume proficiency [11]. This was the recommended minimum simulation time requested by Intuitive when first introducing their robotic platform to consultants already proficient in operative technique. Studies have suggested that trainees can feel significantly more comfortable with robotic simulation skills within a shorter time due to their prior exposure to VR and computer game technology and achieve a basic level of proficiency in an average of five hours [30]. Duration of simulation practice alone, however, is not a sufficient measure of skill acquisition [31]. The Royal College of Surgeons of England has accredited the education portfolio of both Intuitive and CMR Surgical [32, 33] both of which include VR simulation exercises.
Bedside assisting allows trainees to observe and discuss robotic cases with trainers while re-enforcing knowledge learnt regarding the robotic platform, port positioning and trouble shooting in the previous stage. Independent robotic operators should be familiar with all aspects of the robotic set up process and bedside assisting to deal with unexpected complications and variability of their scrub team. This skill when learnt likely decreases the learning curve for the trainee once operating at the console, however this is yet to be proven. Just as in assisting/camera holding when training in laparoscopic surgery, there is no validated number after which the trainee is deemed competent enough to progress to console training but the studies in our review seem to put this at around 10 to 30 cases. This is likely based on the prior experience of their trainers. Port placement and docking time are other simple metrics that can be used to assess proficiency in bedside assisting [20]. Logically, console training constitutes the last phase of all curricula. Console training can in itself be phased with trainees performing components of operations in stages supervised prior to being proficient enough to perform a whole procedure or more complex procedures proctored and then independently. Component based learning has shown huge benefits in skill acquisition and reduction in learning curves in laparoscopic surgery [34, 35] and in robotic urology training [36] and has recently been advocated for by a Robotic surgery education working group [19]. In addition, the benefit of the dual console is that both the trainee and the trainer can ensure patient safety with the seamless transfer of controls to the trainer if needed. Both Bolger et al. and Unruh et al. use dual console training and show that there is no difference in operative and patient outcomes when compared to consultant operating [11, 16]. Interestingly, Collins et al. utilised single console training without any compromise to patient outcomes, however the trainees were senior fellows with previous experience in laparoscopic colorectal surgery [12]. Formal tools to provide feedback such as GEARS can be utilised as performance metric. GEARS scale represents Global Evaluative Assessment of Robotic Skills.
which is user friendly, reproducible and validated [17].
The first robotic ‘Da Vinci Academic Surgical Trainee programme’ in the United Kingdom was piloted as a collaboration between Newcastle Hospitals and Intuitive in 2023 to train the next generation of surgeons across four specialities including Colorectal Surgery. This is a four-phased program set to run over three years. Results of the programme are eagerly awaited as potential validation of this curricula through peer review could be the driving force to ensure universal incorporation of robotic training for colorectal trainees [37]. We offer the results of our local RACS training program to complement this data.
The authors acknowledge the pitfalls of the review are the small number of studies included and are observational in nature leading to increasing bias (Table 7). We have discussed the program structure but not addressed the realistic complexities of ensuring uptake of a standardised curriculum for colorectal trainees in institutions with varying access to resources.
In recognition of the importance of robotic surgical proficiency in colorectal surgery we introduced a structured training curriculum in 2022. This comprehensive program incorporates many of the successful aspects of previous studies already describes and streamlines learning and efficiency where possible in order to achieve the trainees’ learning goals within one year, which is the usual training time allocated to each hospital or Trust in their training program.
Our program integrates online and in-person didactic instruction, dry and wet laboratory and simulation-based training with clinical exposure (Table 8). After local curriculum implementation, a notable increase in robotic case volume and console time has been observed among our trainees and fellows. The outcome of Phase four is to achieve a minimum of twenty robotic procedures and certification which has been awarded to one trainee to date with two further trainees nearing completion.
Although the curriculum has established a robust framework for colorectal robotic training, some challenges persist which need to be addressed by any institution looking to replicate the robotic training pathway. We recommend the following recommendations to be considered:
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Access to the robotic simulator (either during working hours or out of hours). This can clash when the robotic platform is being used for clinical cases. We suggest the trainees remain for 1–2 h after each case to practice on the simulator, particularly during phase one and two.
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Providing effective feedback is dependent on the consultant trainer.
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Diversity of surgical cases and time available for training in theatre. More complex cases should be broken down into component part that trainees can achieve depending on their skill level.
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Standardization of case-logging for trainees. The currently utilised electronic logbook and ISCP curriculum does not accurately account for or reflect the need for robotic training.
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The training program, even completed with certification, does not adequately reflect the full spectrum required of a resident's surgical competency in each procedure. It is not designed to replace the traditional training pathway and merely an adjunct to support the introduction of robotic skill acquisition within the standard training time.
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We recommend that all peri-CCT colorectal trainees starting robotic surgical procedures either as a specialised fellowship or as a consultant surgeons post-fellowship to be reassessed locally by their robotic training lead and approved by their local clinical governance.
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The increasing presence of multiple robotic surgical platforms within UK hospitals, such as the CMR Surgical Versius, Medtronic Hugo, and da Vinci systems, often within the same institution, necessitates a significant expansion of training opportunities and ajustments according to each platfom particularities. This expansion should encompass all personnel involved in these procedures, including surgeons, surgical assistants, and other members of the operating room team.
Conclusions
A comprehensive examination of the current literature unveils a lack of standardized curricula within robotic surgical colorectal training programs. While reviewed programs incorporate a structured approach with phased training, combining didactic tutorials, simulation, and hands-on experience, they are limited by a lack of objective specifications and validated performance metrics for colorectal surgery. The development of a novel colorectal robotics training program, particularly given the increasing diversity of robotic platforms available apart of DaVinci (such as Versius and Hugo), presents a significant resource-intensive endeavor. However, it offers a valuable opportunity for faculty to expand their educational role and contribute to the advancement of surgical training. If well-led, this program can be introduced regionally within several hospitals and Trusts, providing trainees with sufficient exposure to various robotic systems and opportunities to gain robotic competency within their existing training program.
Data availability
The datasets used and analysed during the current study are available from the corresponding author on reasonable request.
References
.Halabi WJ, Kang CY, Jafari MD, Nguyen VQ, Carmichael JC, Mills S, Stamos MJ, Pigazzi A. Robotic-assisted colorectal surgery in the United States: a nationwide analysis of trends and outcomes. World J Surg. 2013;37(12):2782-90. https://doi.org/10.1007/s00268-013-2024-7.
Justiniano CF, Becerra AZ, Loria A, Xu Z, Aquina CT, Temple LK, Fleming FJ. Is robotic utilization associated with increased minimally invasive colorectal surgery rates? Surgeon-level evidence Surg Endosc. 2022;36(8):5618–26. https://doi.org/10.1007/s00464-022-09023-1. Epub 2022 Jan 13.
Yeo HL, Isaacs AJ, Abelson JS, Milsom JW, Sedrakyan A. Comparison of open, laparoscopic, and robotic colectomies using a large national database: outcomes and trends related to surgery center volume. Dis Colon Rectum. 2016;59(6):535–42. https://doi.org/10.1097/DCR.0000000000000580.
Unruh KR, Bastawrous AL, Bernier GV, Flum DR, Kumar AS, Moonka R, Thirlby RC, Simianu VV. Evaluating the regional uptake of minimally invasive colorectal surgery: a report from the surgical care outcomes assessment program. J Gastrointest Surg. 2021;25(9):2387–97. https://doi.org/10.1007/s11605-020-04875-1. Epub 2020 Nov 18.
Butnari V, Sultana M, Mansuri A, Rao C, Kaul S, Boulton R, Huang J, Rajendran N. Comparison of early surgical outcomes of robotic and laparoscopic colorectal cancer resection reported by a busy district general hospital in England. Sci Rep. 2024;14(1):9227. https://doi.org/10.1038/s41598-024-57110-1.
Gaitanidis A, Simopoulos C, Pitiakoudis M. What to consider when designing a laparoscopic colorectal training curriculum: a review of the literature. Tech Coloproctol. 2018;22(3):151–60. https://doi.org/10.1007/s10151-018-1760-y.
Smith R, Patel V, Satava R. Fundamentals of robotic surgery: a course of basic robotic surgery skills based upon a 14-society consensus template of outcomes measures and curriculum development. Int J Med Robot. 2014;10(3):379–84. https://doi.org/10.1002/rcs.1559. Epub 2013 Nov 26.
Chen R, Rodrigues Armijo P, Krause C, SAGES Robotic Task Force, Siu KC, Oleynikov D. A comprehensive review of robotic surgery curriculum and training for residents, fellows, and postgraduate surgical education. Surg Endosc. 2020;34(1):361–7. https://doi.org/10.1007/s00464-019-06775-1. Epub 2019 Apr 5.
Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:n71. https://doi.org/10.1136/bmj.n71.
Wells GA, Shea B, O'Connell D, Peterson J, Welch V, Losos M, Tugwell P. The Newcastle-Ottawa Scale (NOS) for assessing the quality if nonrandomized studies in meta-analyses. Available at: https://www.ohri.ca/programs/clinical_epidemiology/oxford.asp. Accessed 1st of Aug 2024.
Bolger JC, Broe MP, Zarog MA, et al. Initial experience with a dual-console robotic-assisted platform for training in colorectal surgery. Tech Coloproctol. 2017;21(9):721–7. https://doi.org/10.1007/s10151-017-1687-8.
Collins D, Machairas N, Duchalais E, et al. Participation of colon and rectal fellows in robotic rectal cancer surgery: effect on surgical outcomes. J Surg Educ. 2018;75(2):465–70. https://doi.org/10.1016/j.jsurg.2017.07.006.
Formisano G, Esposito S, Coratti F, Giuliani G, Salaj A, Bianchi PP. Structured training program in colorectal surgery: the robotic surgeon as a new paradigm. Minerva Chir. 2019;74(2):170–175. https://doi.org/10.23736/S0026-4733.18.07951-8.
Martin R, Hsu J, Soliman MK, Bastawrous AL, Cleary RK. Incorporating a detailed case log system to standardize robotic colon and rectal surgery resident training and performance evaluation. J Surg Educ. 2019;76(4):1022–9. https://doi.org/10.1016/j.jsurg.2018.12.011.
Waters PS, Flynn J, Larach JT, et al. Fellowship training in robotic colorectal surgery within the current hospital setting: an achievable goal? ANZ J Surg. 2021;91(11):2337–44. https://doi.org/10.1111/ans.16677.
Unruh K, Stovall S, Chang L, et al. Implementation of a structured robotic colorectal curriculum for general surgery residents. J Robot Surg. 2023;17(5):2331–8. https://doi.org/10.1007/s11701-023-01660-5.
Goh AC, Goldfarb DW, Sander JC, Miles BJ, Dunkin BJ. Global evaluative assessment of robotic skills: validation of a clinical assessment tool to measure robotic surgical skills. J Urol. 2012;187(1):247–52. https://doi.org/10.1016/j.juro.2011.09.032.
Sinha A, West A, Vasdev N, et al. Current practises and the future of robotic surgical training. Surgeon. 2023;21(5):314–22. https://doi.org/10.1016/j.surge.2023.02.006.
Porterfield JR Jr, Podolsky D, Ballecer C, et al. Structured resident training in robotic surgery: recommendations of the robotic surgery education working group. J Surg Educ. 2024;81(1):9–16. https://doi.org/10.1016/j.jsurg.2023.09.006.
Soliman MK, Tammany AJ. Teaching and training surgeons in robotic colorectal surgery. Clin Colon Rectal Surg. 2021;34(5):280–5. https://doi.org/10.1055/s-0041-1729861.
McMillan MT, Malleo G, Bassi C, Sprys MH, Vollmer CM Jr. Defining the practice of pancreatoduodenectomy around the world. HPB. 2015;17:1145–54.
de Wilde RF, Besselink MG, van der Tweel I, et al. Dutch Pancreatic Cancer Group. Impact of nationwide centralization of pancreaticoduodenectomy on hospital mortality. Br J Surg. 2012;99:404–10.
Gallagher AG, Ritter EM, Champion H, et al. Virtual reality simulation for the operating room: proficiency-based training as a paradigm shift in surgical skills training. Ann Surg. 2005;241(2):364–72. https://doi.org/10.1097/01.sla.0000151982.85062.80.
Schreuder HW, Persson JE, Wolswijk RG, Ihse I, Schijven MP, Verheijen RH. Validation of a novel virtual reality simulator for robotic surgery. ScientificWorldJournal. 2014;2014:507076. https://doi.org/10.1155/2014/507076. Published 2014 Jan 30.
Alzahrani T, Haddad R, Alkhayal A, Delisle J, Drudi L, Gotlieb W, Fraser S, Bergman S, Bladou F, Andonian S, Anidjar M. Validation of the da Vinci Surgical Skill Simulator across three surgical disciplines: a pilot study. Can Urol Assoc J. 2013;7(7–8):E520–9. https://doi.org/10.5489/cuaj.419. PMID: 23914275; PMCID: PMC3713157.
Gallagher AG. Proficiency-based progression simulation training for more than an interesting educational experience. J Musculoskelet Surg Res. 2018;2:139–41.
Angelo RL, Ryu RK, Pedowitz RA, Beach W, Burns J, Dodds J, et al. A proficiency-based progression training curriculum coupled with a model simulator results in the acquisition of a superior arthroscopic Bankart skill Set. Arthroscopy. 2015;31:1854–71.
Puliatti S, Amato M, Mazzone E, et al. Development and validation of the metric-based assessment of a robotic dissection task on an avian model. J Surg Res. 2022;277:224–34. https://doi.org/10.1016/j.jss.2022.02.056.
Hertz AM, George EI, Vaccaro CM, Brand TC. Head-to-head comparison of three virtual-reality robotic surgery simulators. JSLS. 2018;22(1):e2017.00081. https://doi.org/10.4293/JSLS.2017.00081.
Arain NA, Dulan G, Hogg DC, et al. Comprehensive proficiency-based inanimate training for robotic surgery: reliability, feasibility, and educational benefit. Surg Endosc. 2012;26(10):2740–5. https://doi.org/10.1007/s00464-012-2264-x.
Smith CD, Farrell TM, McNatt SS, Metreveli RE. Assessing laparoscopic manipulative skills. Am J Surg. 2001;181(6):547–50. https://doi.org/10.1016/s0002-9610(01)00639-0.
The Royal College of Surgeons of England. RCS England collaborates with Intuitive to supercharge robotic surgery. Accessed from https://www.rcseng.ac.uk/news-and-events/media-centre/press-releases/rcs-england-collaborates-with-intuitive-to-supercharge-robotic-surgery/. Accessed on 28th July 2024.
The Royal College of Surgeons of England. CMR Surgical’s robotic surgery training receives RCS England accreditation. Accessed from https://www.rcseng.ac.uk/news-and-events/media-centre/press-releases/rcs-england-accreditation/. Accessed on the 28th July 2024.
Jenkins JT, Currie A, Sala S, Kennedy RH. A multi-modal approach to training in laparoscopic colorectal surgery accelerates proficiency gain. Surg Endosc. 2016;30(7):3007–13. https://doi.org/10.1007/s00464-015-4591-1.
Hemandas A, Flashman KG, Farrow J, O’Leary DP, Parvaiz A. Modular training in laparoscopic colorectal surgery maximizes training opportunities without clinical compromise. World J Surg. 2011;35(2):409–14. https://doi.org/10.1007/s00268-010-0837-1.
Dev H, Sharma NL, Dawson SN, Neal DE, Shah N. Detailed analysis of operating time learning curves in robotic prostatectomy by a novice surgeon. BJU Int. 2012;109(7):1074–80. https://doi.org/10.1111/j.1464-410X.2011.10665.x.
The Newcastle Upon Thyne Hospitals NHS Foundation Trust. UK’s first robotic surgery training programme for surgical trainees launched in the North East. Accessed from https://www.newcastle-hospitals.nhs.uk/news/uks-first-robotic-surgery-training-programme-launched-in-the-north-east/. Accessed on the 28th July 2024.
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All authors are grateful for the input and guidance provided by all members of the surgery department in the Barking, Havering and Redbridge University Hospitals NHS Trust, London, United Kingdom
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Data curation: VB, HKSIS, EH, NR; Formal analysis: VB, HKSIS, EH, NR; Funding acquisition: N/A; Investigation: VB, HKSIS, EH, SGH, SK, JH, RB, NR; Methodology: VB, HKSIS, EH, SGH, SK, JH, RB, NR; Project administration: VB, HKSIS, EH, SGH, SK, JH, RB, NR; Visualisation: VB, HKSIS, EH, SGH, SK, JH, RB, NR; Writing–original draft: VB, HKSIS, EH, SGH, SK, JH, RB, NR; Writing–review & editing: VB, HKSIS, EH, SGH, SK, JH, RB, NR; All authors read and approved the final manuscript.
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Butnari, V., Singh, H.K.S.I., Hamid, E. et al. A systematic review of robotic colorectal surgery programs worldwide and a comprehensive description of local robotic training programme. BMC Med Educ 25, 803 (2025). https://doi.org/10.1186/s12909-025-07203-w
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DOI: https://doi.org/10.1186/s12909-025-07203-w