Ergonomic challenges and barriers of robotic surgery—a review
Review Article

Ergonomic challenges and barriers of robotic surgery—a review

Shing Wai Wong1,2 ORCID logo, Audrey Lee Wong2

1Department of General Surgery, Prince of Wales Hospital, Sydney, New South Wales, Australia; 2Randwick Campus, School of Clinical Medicine, The University of New South Wales, Sydney, New South Wales, Australia

Contributions: (I) Conception and design: Both authors; (II) Administrative support: None; (III) Provision of study materials or patients: None; (IV) Collection and assembly of data: Both authors; (V) Data analysis and interpretation: Both authors; (VI) Manuscript writing: Both authors; (VII) Final approval of manuscript: Both authors.

Correspondence to: Shing Wai Wong, MBBS, MS, FRACS, PhD. Department of General Surgery, Prince of Wales Hospital, 320-346 Barker St, Randwick NSW 2031, Sydney, New South Wales, Australia; Randwick Campus, School of Clinical Medicine, The University of New South Wales, Sydney, New South Wales, Australia. Email: sw.wong@unsw.edu.au.

Abstract: Despite the many reported postural, manipulation, and visualisation ergonomic benefits of robotic surgery (RS), there are some unique challenges in these domains that need to be addressed to enhance surgeon performance. There is a paucity of studies which have reported on the negative ergonomic effects. A literature search was conducted in February 2025 of English language original articles, using PubMed and the keywords “barriers”, “challenges”, “ergonomics”, and “robotic surgery”. Other keywords used were extracted from previous review articles on ergonomics and RS. The objective of the review is to present the ergonomic challenges and barriers of RS as well as possible solutions to overcome them. The known ergonomic challenges of RS include fatigue due to longer operating time, lack of haptic feedback, robotic arm clashes, and workflow disruptions related to surgeon separation. Despite many postural, manipulation, and visualisation ergonomic benefits of RS, there are also detrimental effects. This includes static neck positioning in a flexed position, forearm fatigue, a learning curve to attain mastery of the loop clutch controllers, visual fatigue, visual-sensory mismatch, and increased cognitive load. Some of the detrimental ergonomic effects of RS can be overcome with non-invasive interventions and gaining more technical experience.

Keywords: Challenges; barriers; ergonomics; robotic surgery (RS)


Received: 04 March 2025; Accepted: 09 June 2025; Published online: 18 July 2025.

doi: 10.21037/ales-25-10


Introduction

Improved performance, efficiency and user well-being are important advantages of robotic surgery (RS). Despite overcoming many ergonomic challenges of open and laparoscopic surgery, new challenges have been created. The assessment of the ergonomic benefits and detriments of RS can be considered in relation to the domains of posture, organization, and cognition. Despite the many reported benefits relating to improved posture, manipulation and visualisation, there are some unique challenges of RS in these areas which need to be overcome to enhance surgeon performance (1,2). These ergonomic benefits can additionally be enhanced by simple surgeon adjustments and interventions (3). There is a paucity of studies that have reported on the negative ergonomic effects of RS and this is the first review to address the ergonomic challenges and barriers. In a survey of 432 robotic surgeons, 56% reported physical symptoms such as finger and neck pain, and eye fatigue (4). The known ergonomic challenges of RS include fatigue due to longer operating time, lack of haptic feedback, and workflow disruptions related to surgeon separation. These barriers need to be compensated for to improve surgeon well-being. RS can have both beneficial and detrimental effects on the cognitive load of the surgeon. The objective of the review is to present the ergonomic challenges and barriers of RS, as well as practical solutions to overcome them (Table 1).

Table 1

Ergonomic challenges and barriers of RS

Ergonomic factor Challenges and barriers Potential interventions
Posture Neck pain from static flexion Rest breaks
Shoulder pain Pressure sensors on the armrest bar
Optimal console-setup
Coaching to use clutch more
Forearm pain Compression sleeves
Strengthening exercises
Manipulation Learning curve to operate loop controllers Simulation training
More RS experience
Visualisation Visual fatigue-dry eyes Screen breaks (20:20:20 rule)
Lubricating eye drops
Blink efficiency training
Eye relaxation exercises
Visual fatigue-accommodative stress Refractive error correction
Visual-sensory mismatch Increased RS experience
Fatigue Long surgery duration Avoid sleep deprivation
Intraoperative rest breaks and stretching
Morning case
Meditation
Lack of haptic feedback Loss of force and tactile feedback Use of visual cues
Addition of force and tactile feedback
Virtual boundaries
Robot arm clashes Impair the control of instruments Port positioning
Better spacing of robotic arms
Use of individual patient carts
Workflow disruptions Surgeon separation Communication
Team briefing and training
Collaborative situation awareness
Operating room layout
Checklist
Resilience
Cognition Increased need for more mental resources to complete the task Mentorship
Cognitive simulation training
Mental rehearsals
CTA
Bedside assistant Collision with robotic arms Judicious port positioning
Slow movement of robotic arms

CTA, cognitive task analysis; RS, robotic surgery.


Methods

A literature search was conducted in February 2025, using PubMed. All English language studies published from inception to February 2025 were considered and no restriction was imposed regarding study design. To find relevant publications, the keywords “barriers”, “challenges”, “ergonomics”, and “robotic surgery” were used. Other keywords used were extracted from previous review articles on ergonomics and RS. These keywords are used as subheadings in the discussion. In addition, a hand search of references cited in the studies and reviews was conducted to ensure literature saturation. Original articles published in peer-reviewed journals were considered.


Posture

The high prevalence of musculoskeletal pain among surgeons can impact surgeons’ comfort, efficiency and career longevity negatively. RS may be less physically demanding because of the surgeon’s seated position and ability to rest the shoulders but may result in a more static posture. Several studies have reported the greatest muscle strain to occur in the shoulders during laparoscopic surgery, in the forearms during RS, and in the neck during both procedures (5-9). The head-down and downgaze positioning of RS can on the one hand result in harmful neck flexion but on the other hand help reduce tear film evaporation as a result of smaller ocular surface exposure and allow a more intuitive line of sight operating (10-11).

Resting of the forearms on the robotic console bar results in less deltoid and biceps activation (12). Sub-optimal upper limb ergonomic positioning during RS occurs when the shoulders are held in an abducted position (13). Judicious use of the clutch system can return the upper limbs to a more ergonomic position with the elbows flexed at 90 degrees, resting comfortably on the console bar and tucked in adjacent to the body (14-16). The surgeon can consciously use the clutch more frequently if aware of situations when shoulder abduction occurs during RS. Certain manoeuvres, such as dissecting in the peripheral working space on the robotic screen and the use of certain instruments, such as the robotic stapler or needle-holder, worsen shoulder postural ergonomics (17). Research has demonstrated ergonomic deficits in the current close console set-up for very short and very tall surgeons due to the limited height range of the robotic console bar (10). This ergonomic challenge is abolished with open robotic console systems, where surgeons can stand up during surgery.

Ergonomic interventions that are effective in reducing upper limb pain during RS include the use of forearm compression sleeves, prevention from strengthening exercises, rest breaks with targeted stretching, ergonomics education, and use of pressure sensors to provide feedback on armrest load (15,16,18-21). Rest breaks with targeted stretching and use of compression sleeves during RS are facilitated by the freedom to move around without restrictions imposed by the need to maintain sterility. Intraoperative microbreaks can interrupt prolonged periods of static posture and low-level intensity muscle activity (22-23). Optimal ergonomic adjustment of the robotic console steps have been recommended, namely: adjusting the chair height to match the popliteal height, moving the chair as close to the armrest as possible, sitting upright and lowering the console to a level where viewing through the binoculars is comfortable, holding the loop controllers with arms by the sides, raising the armrest up to the forearm, and adjusting the pedal position to keep the knees at right angles (24).


Manipulation

RS manipulation ergonomics is enhanced by seven degrees of freedom instrument tip movement, scaling function, fulcrum effect elimination, and ability to control multiple instruments (25). Despite enhanced dexterity supported by the robotic system, detrimental manipulation ergonomics can occur due to a lack of haptic feedback and clashing of the robotic arms. These two factors will be addressed in later sections. Even the potential manipulation ergonomic benefits of RS are not without challenges. Firstly, there is an initial learning curve to attain mastery of the loop controllers to manipulate the flexible instrument tips (26). Simulation training and increasing robotic operating experience facilitate the improvement of manipulation accuracy and speed. Another challenge of RS is temporary neuropraxia of the fingers caused by prolonged pinching of the thumb and index finger placed inside the loop controllers (27). The robotic surgeon can place their thumbs and fingers outside the loops to facilitate relaxation of the finger pulps. Thirdly, the trade-off for improved precision associated with scaling of movement is increased operating time and associated fatigue. Paradoxically, experienced laparoscopic surgeons who are mentally and subconsciously acclimatised to the visualisation-proprioception disconnect between the screen view and the hand position may need to retrain their brain/eye/hand co-ordination to allow for the elimination of the fulcrum effect (28). Finally, control of three instruments and the camera allows the surgeon to operate with more independence but this may be associated with increased cognitive load.


Visualisation

The visualisation ergonomic benefits of RS are due to improved exposure, three-dimensional vision, stable control of the camera and screen located at the line of sight (29). The advantage of three-dimensional vision may be negated in some surgeons who have reduced or no stereopsis (30). Stereoacuity declines with age and may be related to insufficient correction of refractive error (31,32). Correction of refractive error is a simple intervention that can improve three-dimensional vision, especially in older surgeons. Detrimental visualisation ergonomics with RS can occur because of visual fatigue and mismatch between visual and other sensory input. This can be overcome with simple interventions, increasing RS experience, and brain sensory system adaptation. The two main causes of visual fatigue during RS are dry eyes and accommodative stress. Use of lubricating eye drops, screen breaks (utilising the 20:20:20 rule of 20-second break every 20 minutes to view a distant object at 20 feet), blink efficiency training (to induce motor memory with repeated complete blink practice sessions), and correction of refractive error are simple non-invasive interventions which can reduce visual fatigue (33). Visual-perception mismatch can occur during RS because the use of the clutch can lead to a brain sensory misalignment of surgeon’s hand and instrument tip positions. An initial simulation RS study involving novice surgeons found that visual-perception mismatch impaired performance (34). However, a subsequent real-life study involving an experienced surgeon found that visual-perception mismatch was well compensated for during RS (35).


Fatigue

Physical and mental fatigue from prolonged operating time are potential ergonomic detriment of RS. Robotic colorectal surgery has been demonstrated to take longer than laparoscopic colorectal surgery. Two meta-analyses reported increased mean operating times of 56 minutes and 38 minutes with robotic compared to laparoscopic colorectal surgery (36,37). This finding may be partly related to the fact that most series reported on case series when mainly hybrid procedures were performed, as demonstrated by a low total robotic console time to total operation time ratio (38). Other factors such as surgeon experience, case complexity, and surgery team familiarity also impact operation duration (39).

Prolonged operating time has been associated with muscle and visual fatigue, resulting in impaired precision as well as digital eye strain symptoms (29,40,41). Deterioration in performance and symptoms of mental exhaustion, irritability and impaired surgical judgement can develop after two to four hours of operating time (42,43). A meta-analysis and other studies have demonstrated cognitive performance to be more impaired than psychomotor skills with fatigue, and therefore, more emphasis should be placed on preventing cognitive errors when surgeons are tired (44,45).

There are several interventions with varying outcomes that may help reduce fatigue and improve concentration. These interventions include avoidance of sleep deprivation, scheduled and unscheduled intraoperative rest breaks, scheduling RS cases to commence in the morning, caffeine use, meditation, mindfulness intervention and intermittent stretching exercises (44,46-49).


Lack of haptic feedback

One of the main ergonomic disadvantages of the robotic system is loss of force and tactile feedback, which can result in inaccurate application of force. To compensate for the lack of haptic feedback, experienced robotic surgeons use tissue deformation cues from restoration of three-dimensional (3D) vision (50). Another technique to compensate for the lack of haptic feedback is the creation of a safe surgical operating zone with virtual boundaries (51). Simulation studies have reported reduced grasping forces, enhanced precision, and improved performance with the addition of haptic feedback during RS (52-54). Recognising the importance of haptic feedback, the newer robotic systems, such as Senhance and the updated Intuitive da Vinci 5 surgical system, do offer force feedback via sensors near the instrument tips.


Robot arm clashes

One challenge that is unique to RS is robot arm collision, which can restrict movement, impair control of instruments, and cause trauma to the bedside assistant or patient. Robot arm clashes can be reduced by wider spacing of ports, use of targeting at the beginning of the case to align the arms towards the target, ensuring even spacing of the robotic arms, aligning the vertical ports perpendicular to the main target site and use of the patient clearance buttons which can drop the posterior elbows of the robot arms (55,56). With multi-quadrant surgery, re-docking of the robot with the closed console systems is sometimes required to reduce robotic arm clashes and facilitate dissection. Arm collisions can be more easily avoided with robotic systems that use individual patient carts for each arm than with a single integrated patient cart.


Workflow disruptions

Surgeon separation from other team members and the patient is the main contributor of workflow disruptions during RS (57). Workflow disruptors are unexpected deviations from the natural progression of surgery and have been attributed to difficulties of communication, coordination, surgeon factors, training, situation awareness, instrument changes and spatial configuration (58). The review article reported a lack of research into the implementation and outcome evaluation of interventions in RS, even though the causes of flow disruptors have been well described (58). The possible organizational interventions include enhancement of communication (such as use of precise language, noise-cancelling headsets, or open robotic console system), team briefing or checklist use to improve coordination, leadership training, enhancement of teamwork and collaborative team situation awareness, and change of spatial configuration to improve movement efficiency (59,60). Another method to categorize interventions that overcome workflow disruptions is the resilience supports (61). These responses to unexpected event adaptations may be related to the team, task, tools, technology, organisation, and environment (62).


Cognition

Cognitive ergonomics encapsulates the mental resources (working memory, sensory motor response and perception) required to complete a task (63). The impact of RS on cognition is complex but likely to be overall beneficial (64). Improvement of RS physical ergonomics facilitates the delegation of less cognitive resources to physical tasks. However, fatigue, multi-tasking and the lack of haptic feedback may have a detrimental effect on cognitive load (65). Similarly, organisational ergonomic issues related to workflow disruptions from team separation and reduced situation awareness may increase cognitive load. Improved communication, anticipation by team members, and shared situation awareness/mental models are some organisational interventions which can help reduce surgeon cognitive load (66,67).

Cognitive training can facilitate automatic performance of tasks by reducing working memory with the use of repetition and the automation of constructed schemas (68,69). Cognitive training can improve skills such as memory, attention and problem-solving. Cognitive training techniques include mentorship, cognitive simulation training, mental rehearsal, technical practice, video review and cognitive task analysis (CTA). Mentorship allows real-time assessment and feedback. Mentorship can be facilitated by the dual console robotic system design because the mentor can assist and take over certain parts of the surgery for demonstration purposes (70). Mentoring during RS can develop not only the motor technical skills but also the cognitive skills (71). Mental rehearsal involving motor imagery without execution has been shown to be an effective intervention to improve technical robotic skills (72). CTA based training involves expert review and analysis of the cognitive processes involved in each key operation step (73). The structured CTA training framework can involve the analysis of the sequence of tasks, explanation of the rationale behind important decision points, provision of technical tips for key steps, as well as implementation of strategies to avoid potential pitfalls and manage complications.


Bedside assistant

Despite ergonomic benefits of RS for the bedside assistant, such as the ability to sit down during much of the operation and avoidance of prolonged static posture holding the laparoscope and instrument with outstretched arms, there are ergonomic detriments which include impairment of effective communication and collision with the robotic arms (74,75). Being aware of certain predictable situations when collisions between robotic and bedside assistant arms occur can allow the operating surgeon to consciously avoid them (74). Judicious positioning of ports, previous surgeon bedside assistant experience, anticipatory communication, and moving the robotic arms more slowly to adjust for the scaling component of the fulcrum effect are interventions that can prevent bedside assistant injury.


Conclusions

This review has demonstrated that there are ergonomic challenges to overcome with RS, despite the overall ergonomic benefits. Previous review articles on this topic reported mainly on the organizational ergonomic detriments. The strength of this review is that it has also reported on the potential physical and cognitive ergonomic detriments of RS. The main limitation of the review article is that some of the described interventions are based on simulation studies involving novice surgeons and, therefore not generalizable to real-life surgery and experienced surgeons. Some of the interventional studies involved surgeons performing non-RS, computer screen users, or sportspeople.

The availability of haptic feedback in the newer versions of the robotic console system may allow research into the impact of its introduction in real-life surgery. There is great potential for future interventional research assessing the impact on surgeon well-being and patient outcome during non-simulated RS. Some of the detrimental ergonomic effects of RS can be overcome with non-invasive interventions and by gaining more experience operating with the robotic system.


Acknowledgments

None.


Footnote

Peer Review File: Available at https://ales.amegroups.com/article/view/10.21037/ales-25-10/prf

Funding: None.

Conflicts of Interest: Both authors have completed the ICMJE uniform disclosure form (available at https://ales.amegroups.com/article/view/10.21037/ales-25-10/coif). The authors have no conflicts of interest to declare.

Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.


References

  1. Armstrong JG, Byrn JC. Ergonomics in robotic colorectal surgery. In: Obias V, editor. Robotic colon and rectal surgery. Switzerland: Springer International Publishing; 2017: 169-82.
  2. Wong SW, Ang ZH, Yang PF, et al. Robotic colorectal surgery and ergonomics. J Robot Surg 2022;16:241-6. [Crossref] [PubMed]
  3. Wong SW, Ang ZH, Crowe P. Enhancing ergonomics in robotic surgery—a review. AME Surg J 2024;4:20.
  4. Lee GI, Lee MR, Green I, et al. Surgeons' physical discomfort and symptoms during robotic surgery: a comprehensive ergonomic survey study. Surg Endosc 2017;31:1697-706. [Crossref] [PubMed]
  5. Szeto GP, Poon JT, Law WL. A comparison of surgeon's postural muscle activity during robotic-assisted and laparoscopic rectal surgery. J Robot Surg 2013;7:305-8. [Crossref] [PubMed]
  6. Dalager T, Jensen PT, Eriksen JR, et al. Surgeons' posture and muscle strain during laparoscopic and robotic surgery. Br J Surg 2020;107:756-66. [Crossref] [PubMed]
  7. Dalsgaard T, Jensen MD, Hartwell D, et al. Robotic Surgery Is Less Physically Demanding Than Laparoscopic Surgery: Paired Cross Sectional Study. Ann Surg 2020;271:106-13.
  8. Armijo PR, Huang CK, High R, et al. Ergonomics of minimally invasive surgery: an analysis of muscle effort and fatigue in the operating room between laparoscopic and robotic surgery. Surg Endosc 2019;33:2323-31. [Crossref] [PubMed]
  9. Pérez-Salazar MJ, Caballero D, Sánchez-Margallo JA, et al. Comparative Study of Ergonomics in Conventional and Robotic-Assisted Laparoscopic Surgery. Sensors (Basel) 2024;24:3840. [Crossref] [PubMed]
  10. Van't Hullenaar CDP, Hermans B, Broeders IAMJ. Ergonomic assessment of the da Vinci console in robot-assisted surgery. Innov Surg Sci 2017;2:97-104.
  11. Rosenfield M. Computer vision syndrome: a review of ocular causes and potential treatments. Ophthalmic Physiol Opt 2011;31:502-15. [Crossref] [PubMed]
  12. Hislop J, Tirosh O, McCormick J, et al. Muscle activation during traditional laparoscopic surgery compared with robot-assisted laparoscopic surgery: a meta-analysis. Surg Endosc 2020;34:31-8. [Crossref] [PubMed]
  13. Lux MM, Marshall M, Erturk E, et al. Ergonomic evaluation and guidelines for use of the daVinci Robot system. J Endourol 2010;24:371-5. [Crossref] [PubMed]
  14. Gabrielson AT, Clifton MM, Pavlovich CP, et al. Surgical ergonomics for urologists: a practical guide. Nat Rev Urol 2021;18:160-9. [Crossref] [PubMed]
  15. Schlussel AT, Maykel JA. Ergonomics and Musculoskeletal Health of the Surgeon. Clin Colon Rectal Surg 2019;32:424-34.
  16. Franasiak J, Craven R, Mosaly P, et al. Feasibility and acceptance of a robotic surgery ergonomic training program. JSLS 2014;18:e2014.00166.
  17. Wong SW, Ang ZH, Lim R, et al. Factors affecting upper limb ergonomics in robotic colorectal surgery. J Surg Case Rep 2023;2023:rjad632. [Crossref] [PubMed]
  18. Wong SW, Parkes A, Crowe P. Ergonomic interventions to reduce upper limb musculoskeletal pain during robotic surgery: a narrative review. J Robot Surg 2024;18:224. [Crossref] [PubMed]
  19. Dairywala MI, Gupta S, Salna M, et al. Surgeon Strength: Ergonomics and Strength Training in Cardiothoracic Surgery. Semin Thorac Cardiovasc Surg 2022;34:1220-9. [Crossref] [PubMed]
  20. Müller DT, Ahn J, Brunner S, et al. Ergonomics in robot-assisted surgery in comparison to open or conventional laparoendoscopic surgery: A narrative review. International Journal of Abdominal Wall and Hernia Surgery 2023;6:61-6.
  21. Wong SW, Parkes A, Lim R, et al. Effect of forearm compression sleeve on muscle fatigue during robotic surgery: a randomized controlled study. J Minim Invasive Surg 2025;28:11-8. [Crossref] [PubMed]
  22. Hanvold TN, Wærsted M, Veiersted KB. Long periods with uninterrupted muscle activity related to neck and shoulder pain. Work 2012;41:2535-8. [Crossref] [PubMed]
  23. Park AE, Zahiri HR, Hallbeck MS, et al. Intraoperative "Micro Breaks" With Targeted Stretching Enhance Surgeon Physical Function and Mental Focus: A Multicenter Cohort Study. Ann Surg 2017;265:340-6. [Crossref] [PubMed]
  24. Tetteh E, Wang T, Kim JY, et al. Optimizing ergonomics during open, laparoscopic, and robotic-assisted surgery: A review of surgical ergonomics literature and development of educational illustrations. Am J Surg 2024;235:115551. [Crossref] [PubMed]
  25. Wong SW, Crowe P. Manipulation ergonomics and robotic surgery—a narrative review. Ann Laparosc Endosc Surg 2024;9:15.
  26. Wong SW, Crowe P. Automated performance metrics, learning curve and robotic colorectal surgery. Int J Med Robot 2023; Epub ahead of print. [Crossref]
  27. Monfared S, Athanasiadis DI, Umana L, et al. A comparison of laparoscopic and robotic ergonomic risk. Surg Endosc 2022;36:8397-402. [Crossref] [PubMed]
  28. Crothers IR, Gallagher AG, McClure N, et al. Experienced laparoscopic surgeons are automated to the "fulcrum effect": an ergonomic demonstration. Endoscopy 1999;31:365-9. [Crossref] [PubMed]
  29. Wong SW, Crowe P. Visualisation ergonomics and robotic surgery. J Robot Surg 2023;17:1873-8. [Crossref] [PubMed]
  30. Biddle M, Hamid S, Ali N. An evaluation of stereoacuity (3D vision) in practising surgeons across a range of surgical specialities. Surgeon 2014;12:7-10. [Crossref] [PubMed]
  31. Gietzelt C, Datta R, Busshoff J, et al. The influence of stereoscopic vision on surgical performance in minimal invasive surgery-a substudy of the IDOSP-Study (Influence of 3D- vs. 4 K-Display Systems on Surgical Performance in minimal invasive surgery). Langenbecks Arch Surg 2022;407:3069-78. [Crossref] [PubMed]
  32. Tuna MB, Kilavuzoglu AE, Mourmouris P, et al. Impact of Refractive Errors on Da Vinci SI Robotic System. JSLS 2020;24:e2020.00031.
  33. Wong SW, Kopecny L, Crowe P. Interventions to prevent visual fatigue during robotic surgery. J Robot Surg 2024;18:396. [Crossref] [PubMed]
  34. Abiri A, Tao A, LaRocca M, et al. Visual-perceptual mismatch in robotic surgery. Surg Endosc 2017;31:3271-8. [Crossref] [PubMed]
  35. Wong SW, Lim R, Wong XJ, et al. Ergonomic hand positioning overcomes visual perception mismatch in nonsimulated robotic colorectal surgery. J Surg Case Rep 2024;2024:rjae143. [Crossref] [PubMed]
  36. Trinh BB, Jackson NR, Hauch AT, et al. Robotic versus laparoscopic colorectal surgery. JSLS 2014;18:e2014.00187.
  37. Patel CB, Ragupathi M, Ramos-Valadez DI, et al. A three-arm (laparoscopic, hand-assisted, and robotic) matched-case analysis of intraoperative and postoperative outcomes in minimally invasive colorectal surgery. Dis Colon Rectum 2011;54:144-50. [Crossref] [PubMed]
  38. Wong SW, Ang ZH, Crowe P. The learning curve to attain surgical competency in robotic colorectal surgery. ANZ J Surg 2022;92:1117-24. [Crossref] [PubMed]
  39. Wong SW, Crowe P. Factors affecting the learning curve in robotic colorectal surgery. J Robot Surg 2022;16:1249-56. [Crossref] [PubMed]
  40. Slack PS, Coulson CJ, Ma X, et al. The effect of operating time on surgeons' muscular fatigue. Ann R Coll Surg Engl 2008;90:651-7. [Crossref] [PubMed]
  41. Lee JW, Cho HG, Moon BY, et al. Effects of prolonged continuous computer gaming on physical and ocular symptoms and binocular vision functions in young healthy individuals. PeerJ 2019;7:e7050. [Crossref] [PubMed]
  42. Cumpanas AA, Bardan R, Ferician O, et al. The impact of tiredness on virtual reality robotic surgical skills. Wideochir Inne Tech Maloinwazyjne 2020;15:298-304. [Crossref] [PubMed]
  43. Reyes DA, Tang B, Cuschieri A. Minimal access surgery (MAS)-related surgeon morbidity syndromes. Surg Endosc 2006;20:1-13. [Crossref] [PubMed]
  44. Pilcher JJ, Huffcutt AI. Effects of sleep deprivation on performance: a meta-analysis. Sleep 1996;19:318-26.
  45. Kahol K, Leyba MJ, Deka M, et al. Effect of fatigue on psychomotor and cognitive skills. Am J Surg 2008;195:195-204. [Crossref] [PubMed]
  46. Janhofer DE, Lakhiani C, Song DH. Addressing Surgeon Fatigue: Current Understanding and Strategies for Mitigation. Plast Reconstr Surg 2019;144:693e-9e. [Crossref] [PubMed]
  47. Whelehan DF, Brown DJ, Connelly TM, et al. Fatigued surgeons: A thematic analysis of the causes, effects and opportunities for fatigue mitigation in surgery. International Journal of Surgery Open 2021;35:100382.
  48. Capodici A, Sanmarchi F, Golinelli D. Effects of Meditation for Surgeons: A Systematic Review of the Scientific Literature. Ann Surg 2022;275:1074-7. [Crossref] [PubMed]
  49. Saway BF, Seidel LW, Dane FC, et al. Mindfulness in the OR: A Pilot Study Investigating the Efficacy of an Abbreviated Mindfulness Intervention on Improving Performance in the Operating Room. J Surg Educ 2021;78:1611-7. Erratum in: J Surg Educ 2022;79:837. [Crossref] [PubMed]
  50. Meccariello G, Faedi F, AlGhamdi S, et al. An experimental study about haptic feedback in robotic surgery: may visual feedback substitute tactile feedback? J Robot Surg 2016;10:57-61. [Crossref] [PubMed]
  51. Bergholz M, Ferle M, Weber BM. The benefits of haptic feedback in robot assisted surgery and their moderators: a meta-analysis. Sci Rep 2023;13:19215. [Crossref] [PubMed]
  52. Abiri A, Pensa J, Tao A, et al. Multi-Modal Haptic Feedback for Grip Force Reduction in Robotic Surgery. Sci Rep 2019;9:5016. [Crossref] [PubMed]
  53. Wottawa CR, Genovese B, Nowroozi BN, et al. Evaluating tactile feedback in robotic surgery for potential clinical application using an animal model. Surg Endosc 2016;30:3198-209. [Crossref] [PubMed]
  54. Bethea BT, Okamura AM, Kitagawa M, et al. Application of haptic feedback to robotic surgery. J Laparoendosc Adv Surg Tech A 2004;14:191-5. [Crossref] [PubMed]
  55. Wong SW, Ang ZH, Chua JL, et al. Ergonomic port placement in robotic colorectal surgery. Colorectal Dis 2021;23:2593-603. [Crossref] [PubMed]
  56. van der Horst S, Voli C, Polanco IA, et al. Robot-assisted minimally invasive esophagectomy (RAMIE): tips and tricks from the bedside assistant view-expert experiences. Dis Esophagus 2020;33:doaa071. [Crossref] [PubMed]
  57. Wong SW, Crowe P. Workflow disruptions in robot-assisted surgery. J Robot Surg 2023;17:2663-9. [Crossref] [PubMed]
  58. Kanji F, Catchpole K, Choi E, et al. Work-system interventions in robotic-assisted surgery: a systematic review exploring the gap between challenges and solutions. Surg Endosc 2021;35:1976-89. [Crossref] [PubMed]
  59. Wong SW, Htike KL, Krishnan S, et al. Enhancers and disruptors of effective communication during robot-assisted surgery: A multispecialty observation study. Medical Robotics 2025. doi: 10.54844/mr.2024.0787.
  60. Dixon F, Vitish-Sharma P, Khanna A, et al. Robotic assisted surgery reduces ergonomic risk during minimally invasive colorectal resection: the VOLCANO randomised controlled trial. Langenbecks Arch Surg 2024;409:142. [Crossref] [PubMed]
  61. Koch A, Schlenker B, Becker A, et al. Operating room team strategies to reduce flow disruptions in high-risk task episodes: resilience in robot-assisted surgery. Ergonomics 2023;66:1118-31. [Crossref] [PubMed]
  62. Kolodzey L, Trbovich P, Kashfi A, et al. System Factors Affecting Intraoperative Risk and Resilience: Applying a Novel Integrated Approach to Study Surgical Performance and Patient Safety. Ann Surg 2020;272:1164-70. [Crossref] [PubMed]
  63. Paas F, Renkl A, Sweller J. Cognitive load theory and instructional design: Recent developments. Educational psychologist 2003;38:1-4.
  64. Shugaba A, Lambert JE, Bampouras TM, et al. Should All Minimal Access Surgery Be Robot-Assisted? A Systematic Review into the Musculoskeletal and Cognitive Demands of Laparoscopic and Robot-Assisted Laparoscopic Surgery. J Gastrointest Surg 2022;26:1520-30. [Crossref] [PubMed]
  65. Wong SW, Crowe P. Cognitive ergonomics and robotic surgery. J Robot Surg 2024;18:110. [Crossref] [PubMed]
  66. Randell R, Alvarado N, Honey S, et al. Impact of Robotic Surgery on Decision Making: Perspectives of Surgical Teams. AMIA Annu Symp Proc 2015;2015:1057-66.
  67. Sexton K, Johnson A, Gotsch A, et al. Anticipation, teamwork and cognitive load: chasing efficiency during robot-assisted surgery. BMJ Qual Saf 2018;27:148-54. [Crossref] [PubMed]
  68. Shafiei SB, Hussein AA, Guru KA. Cognitive learning and its future in urology: surgical skills teaching and assessment. Curr Opin Urol 2017;27:342-7. [Crossref] [PubMed]
  69. Schönburg S, Anheuser P, Kranz J, et al. Cognitive training for robotic surgery: a chance to optimize surgical training? A pilot study. J Robot Surg 2021;15:761-7. [Crossref] [PubMed]
  70. Smith AL, Scott EM, Krivak TC, et al. Dual-console robotic surgery: a new teaching paradigm. J Robot Surg 2013;7:113-8. [Crossref] [PubMed]
  71. Lee GI, Lee MR. Can a virtual reality surgical simulation training provide a self-driven and mentor-free skills learning? Investigation of the practical influence of the performance metrics from the virtual reality robotic surgery simulator on the skill learning and associated cognitive workloads. Surg Endosc 2018;32:62-72. [Crossref] [PubMed]
  72. Raison N, Ahmed K, Abe T, et al. Cognitive training for technical and non-technical skills in robotic surgery: a randomised controlled trial. BJU Int 2018;122:1075-81. [Crossref] [PubMed]
  73. Edwards TC, Coombs AW, Szyszka B, et al. Cognitive task analysis-based training in surgery: a meta-analysis. BJS Open 2021;5:zrab122. [Crossref] [PubMed]
  74. Wong SW, Ang ZH, Crowe P. Improving ergonomics for the bedside assistant in robotic colorectal surgery. J Surg Case Rep 2023;2023:rjad007. [Crossref] [PubMed]
  75. Van't Hullenaar CDP, Bos P, Broeders IAMJ. Ergonomic assessment of the first assistant during robot-assisted surgery. J Robot Surg 2019;13:283-8. [Crossref] [PubMed]
doi: 10.21037/ales-25-10
Cite this article as: Wong SW, Wong AL. Ergonomic challenges and barriers of robotic surgery—a review. Ann Laparosc Endosc Surg 2025;10:28.

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