Factors supporting and constraining the implementation of robot-assisted surgery: a realist interview study

Perceptions of theatre team members to robotic assisted surgery and the aid of technology in colorectal surgery

The implementation of robotic assisted surgery (RAS) has brought in a change to the perception and roles of theatre staff, as well as the dynamics of the operative environment and team. This study aims to identify and describe current perceptions of theatre staff in the context of RAS. 12 semi-structured interviews were conducted in a tertiary level university hospital, where RAS is utilised in selected elective settings. Interviews were conducted by an experienced research nurse to staff of the colorectal department operating theatre (nursing, surgical and anaesthetics) with some experience in operating within open, laparoscopic and RAS surgical settings. Thematic analysis on all interviews was performed, with formation of preliminary themes. Respondents all discussed advantages of all modes of operating. All respondents appreciated the benefits of minimally invasive surgery, in the reduced physiological insult to patients. However, interviewees remarked on the current perceived limitations of RAS in terms of logistics. Some voiced apprehension and anxieties about the safety if an operation needs to be converted to open. An overarching theme with participants of all levels and backgrounds was the 'Teamwork' and the concept of the [robotic] team. The physical differences of RAS changes the traditional methods of communication, with the loss of face-to-face contact and the physical 'separation' of the surgeon from the rest of the operating team impacting theatre dynamics. It is vital to understand the staff cultures, concerns and perception to the use of this relatively new technology in colorectal surgery.

How experienced robotic nurses adapt to the Hugo™ RAS system

No studies have reported on the impact at team level of the Medtronic Hugo™ RAS system. We described the work patterns and learning curves of an experienced robotic nurse team adapting to the new robotic system. We prospectively recorded the robotic nurse team's preoperative, perioperative, and postoperative tasks on the first 30 robotic procedures performed. The data were descriptively analyzed, and Gantt Charts were created for a timeline overview of the work patterns. We compared the operative times between the Medtronic Hugo™ RAS and the Davinci® system. The preoperative phase seemed to improve with a median time of 94 min (IQR 81-107). After 20 surgeries, the work pattern became more consistent where the scrub and circulating nurses worked simultaneously. There was no noticeable improvement for the perioperative and postoperative phases with a stable median time of 170 min (IQR 135-189) and 26 min (IQR 22-31). We found that the work pattern seemed to stabilize after 20 surgeries but with a continued decrease in preoperative time without a learning curve plateau. The robotic nurse team suffered from few breaks and long working hours because only a few nurses at our facility were trained in the Hugo™ system.

What do nurses experience in communication when assisting in robotic surgery: an integrative literature review

BACKGROUND

Communication in surgery is integral to the fundamentals of perioperative nursing practice and patient safety. Research exploring team communication in robotic-assisted surgery (RAS) is evident in the literature but little attention has been focused on how the experiences of operating room nurses' communication affect safety, practice and patient care outcomes.

OBJECTIVE

To synthesise current evidence regarding communication during robotic-assisted surgery as experienced by registered nurses.

DESIGN

An integrative literature review informed by Whittemore and Knafl's (2005) methodology was used to conduct a rigorous analysis and synthesis of evidence.

METHODS

A comprehensive database search was conducted using PRISMA guidelines. CINAHL, Pubmed, PsychINFO and British Nursing Web of Science databases were searched using a Boolean strategy.

RESULTS

Twenty-five relevant papers were included in this literature review. Thematic analysis revealed two main themes with four related subthemes. The two main themes are: 'Adaptive operating room nursing in RAS' and 'RAS alters team dynamics'. The four subthemes are: 'Navigating disruptions in RAS', 'RAS heightens interdependence on team working', 'Augmented communicative workflow in RAS', and 'Professional empowerment to speak up'.

CONCLUSIONS

This integrative review identifies how current research largely focuses on communication in the wider OR team. However, current evidence lacks the input of nurses. Therefore, further evidence is needed to explore nurses' experiences to highlight their perspectives.

CLINICAL RELEVANCE

Robotics significantly benefit patients, and this review identifies different challenges that robotic-assisted surgery nurses encounter. A better understanding of the communication from the perspective of nurses is needed to guide future research, practice education, policy development and leadership/management.

Robots for surgeons? Surgeons for robots? Exploring the acceptance of robotic surgery in the light of attitudes and trust in robots

BACKGROUND

Over the last century, technological progress has been tremendous, and technological advancement is reflected in the development of medicine. This research assessed attitudes towards surgical robots and identified correlations with willingness to participate in robotic surgery based on factors influencing trust in automated systems.

METHOD

Using data from a survey, which included the Multi-dimensional Robot Attitude Scale (MdRAS) and a questionnaire consisting of attitude statements regarding the factors affecting trust in automated systems, the experiment assessed the attitudes of healthcare workers and potential patients towards surgery robots, and attempted to find a correlation between these attitudes, age, and gender.

RESULTS AND CONCLUSION

Statistical evaluation of the responses (N = 197) showed that positive attitude towards surgical robots showed a high correlation with the willingness to participate in robotic surgery and gave the strongest correlations with the MdRAS utility and negative attitude towards robots subscales. For the assessment of willingness, the MdRAS subscales alone did not provide a strong enough correlation. All factors examined showed a significant correlation with participation. Having faith in the surgery robot, the propensity to trust technology, the designer's reputation, the ease of work that a surgical robot provides, positive experience with robots, and believing the surgeon is competent at operating the machine seemed to have been the most important positive correlations, while fear of errors gave the highest negative correlation. The healthcare workers and potential patients showed significant differences in the subscales of the questionnaire perceived risk and knowledge but no significant difference in the characteristics of the surgical robot. There was no difference in willingness to participate between the samples. Age did not show a significant correlation with the score achieved and willingness in any of the samples. Significant differences were found between male and female respondents, with men having more positive attitudes and being more likely to participate in surgeries using surgery robots than women. As a result, the research potentially sheds light on the factors that need to be considered when building trust in robotic surgery.

Safe implementation of a minimally invasive hepatopancreatobiliary program, a narrative review and institutional experience

Laparoscopic and robotic-assisted approaches to hepatopancreatobiliary (HPB) operations have expanded worldwide. As surgeons and medical centers contemplate initiating and expanding minimally invasive surgical (MIS) programs for complex HPB surgical operations, there are many factors to consider. This review highlights the key components of developing an MIS HPB program and shares our recent institutional experience with the adoption and expansion of an MIS approach to pancreaticoduodenectomy.

Comparative analysis of short-term outcomes and oncological results between robotic-assisted and laparoscopic surgery for rectal cancer by multiple surgeon implementation: a propensity score-matched analysis

Robotic-assisted surgery (RAS) is becoming increasingly common for the surgical treatment of rectal cancer. However, the use and implementation of robotic surgery remains controversial. This study aimed to compare the short-term outcomes of robotic surgery, focusing on pathological results and disease-free survival (DFS), in our cohort with initial robotic experience by multiple surgeon implementation. This retrospective study enrolled 571 patients diagnosed with rectal cancer, who were treated with chemoradiotherapy and surgery between January 2015 and December 2021. Surgical outcomes after RAS and laparoscopic surgery (LS) were compared using a propensity score-matching (PSM) analysis. After matching, 200 patients (100 in each group) were included. The median operative time was significantly longer in the RAS group than in the LS group (p < 0.001). The conversion and morbidity rates were similar between the groups. A significantly higher rate of complete mesorectal excision (92% vs. 72%; p = 0.001) and number of lymph nodes harvested (p = 0.009) was observed in the RAS group. There were no statistically significant differences between the groups regarding circumferential and distal resection margin involvement. The 3-year overall and disease-free survival rate was similar between the two groups (p = 0.849 and p = 0.582, respectively). Two patients in the LS group developed local recurrence and 27 patients (15.4%) developed metastatic disease. Multivariate analysis showed that tumor stage III was the only factor associated with disease-free survival (HR, 9.34; (95% CI 1.13-77.1), p = 0.038). RAS and LS showed similar outcomes in terms of perioperative, anatomopathological, and disease-free survival, after multiple surgeon implementations.

The impact of a dedicated operating room team on robotic transplant program growth and fellowship training

INTRODUCTION

Despite considerable interest in robotic surgery, successful incorporation of robotics into transplant programs has been challenging. Lack of a dedicated OR team with expertise in both robotics and transplant is felt to be a major barrier. This paper assesses the impact of a dedicated robotic transplant team (DART) on program growth and fellowship training at one of the largest robotic transplant programs in North America.

METHODS

This is a single center, retrospective review of all robotic operations performed on the transplant surgery service from October 2017 to October 2022. DART was incorporated in February 2020 and included transplant first assists (RFAs), scrub technologists and circulating nurses who received robotic training. Robotic experience before and after DART was compared to assess its impact on program growth and training.

RESULTS

Four hundred and two robotic cases were performed by five transplant surgeons: 63 pre-DART and 339 post-DART. 40% of cases were transplant-related and 59.5%, HPB. There was a significant increase in case volume (2.5-10.6 cases/month, p < .0001) and complexity (36.5% vs. 70.3% high complexity cases, p < .0001) post-DART. RFA case coverage increased from 17% to 95%, and participation of transplant fellows as primary surgeons increased from 17% to 95% post-DART period (both p < .05). Conversion rates (9.5% vs. 4.1%) and room turn-around-times (TAT) (58.4 vs. 40.3 min) were lower post-DART (p < .05). There were no emergent conversions, conversions in transplant patients, or robot-related complications in either group.

CONCLUSION

OR teams with expertise in robotics and transplant surgery can accelerate growth of robotic transplant programs while maintaining patient safety.

Nurses' perceptions and experiences of robotic assisted surgery (RAS): An integrative review

AIM

To identify and review published literature on the perceptions and experience of nurses working with RAS.

BACKGROUND

Robotic assisted surgery (RAS) is rapidly becoming accepted as the elite modality for surgery since its introduction in the 1980 s, more recently there has been a rising trend of use with several specialities operating using this technology. The role of nurses in perioperative care has been described as maintaining the momentum of the patient's journey. Patients undergoing RAS require nursing care throughout their journey, therefore knowledge of nurses' experiences and perceptions of RAS is important to identifying nurse education and development needs.

DESIGN

Integrative literature review DATABASE SOURCES: Databases searched for peer reviewed studies included CINAHL, Academic Search Complete, EMBASE, Scopus, ADA Psycinfo, Medline.

REVIEW METHODS

A comprehensive database search was conducted following PRISMA guidelines. Six databases were searched with 523 screened for eligibility. Ten studies were included in the review seven qualitative and three quantitative.

RESULTS

Ten studies were identified, critically appraised and synthesised using thematic analysis. All studies were conducted with nurses in the perioperative environment. Key findings were that nurses education regarding RAS is limited with more emphasis placed on surgeon education and training. There was evidence that nurses experienced a lack of education, training and information as barriers to their role which subsequently raised their stress levels.

CONCLUSION

Evidence suggests a clear need for education and training for nurses working with RAS. In addition, nurses working with RAS provide care preoperatively, intraoperatively, postoperatively and post discharge in the community. However, no research has been conducted with nurses outside of the perioperative environment. Further research is required to understand the experiences and perceptions of nurses working with RAS patients in all care settings to identify their education and development needs.

Influence of nurses in the implementation of artificial intelligence in health care: a scoping review

Objective This scoping review maps the approach undertaken by nurses to influence the implementation of artificial intelligence in health care. It also provides evidence of how frequently nurses drive the implementation of artificial intelligence, and how often nurses collaborate within the technical team. Methods A systematic search using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines was undertaken from 24 July to 22 August 2020 to identify six records that met the inclusion criteria. Results Nurses influenced the implementation of artificial intelligence in health care by: problem solving; articulating contextual needs and priorities; providing real-world insight and solutions; providing examples of implementation; and determining end user satisfaction. There was one instance of nurses driving implementation, and four instances of nurses collaborating with a technical team approach. Conclusion The expertise of nurses must be sought to ensure artificial intelligence can effectively meet the highly context-specific demands of the healthcare environment.

Determinants of the implementation of an artificial intelligence-supported device for the screening of diabetic retinopathy in primary care - a qualitative study

Diabetic retinopathy is a microvascular complication of diabetes mellitus that is usually asymptomatic in the early stages. Therefore, its timely detection and treatment are essential. First pilot projects exist to establish a smartphone-based and AI-supported screening of DR in primary care. This study explored health professionals' perceptions of potential barriers and enablers of using a screening such as this in primary care to understand the mechanisms that could influence implementation into routine clinical practice. Semi-structured telephone interviews were conducted and analysed with the help of qualitative analysis of Mayring. The following main influencing factors to implementation have been identified: personal attitude, organisation, time, financial factors, education, support, technical requirement, influence on profession and patient welfare. Most determinants could be relocated in the behaviour change wheel, a validated implementation model. Further research on the patients' perspective and a ranking of the determinants found is needed.

Barriers to safety and efficiency in robotic surgery docking

BACKGROUND

The introduction of new technology into the operating room (OR) can be beneficial for patients, but can also create new problems and complexities for physicians and staff. The observation of flow disruptions (FDs)-small deviations from the optimal course of care-can be used to understand how systems problems manifest. Prior studies showed that the docking process in robotic assisted surgery (RAS), which requires careful management of process, people, technology and working environment, might be a particularly challenging part of the operation. We sought to explore variation across multiple clinical sites and procedures; and to examine the sources of those disruptions.

METHODS

Trained observers recorded FDs during 45 procedures across multiple specialties at three different hospitals. The rate of FDs was compared across surgical phases, sites, and types of procedure. A work-system flow of the RAS docking procedure was used to determine which steps were most disrupted.

RESULTS

The docking process was significantly more disrupted than other procedural phases, with no effect of hospital site, and a potential interaction with procedure type. Particular challenges were encountered in room organization, retrieval of supplies, positioning the patient, and maneuvering the robot.

CONCLUSIONS

Direct observation of surgical procedures can help to identify approaches to improve the design of technology and procedures, the training of staff, and configuration of the OR environment, with the eventual goal of improving safety, efficiency and teamwork in high technology surgery.

Roboethics principles and policies in Europe and North America

Robotics and artificial intelligence (AI) are revolutionizing all spheres of human life. From industrial processes to graphic design, the implementation of automated intelligent systems is changing how industries work. The spread of robots and AI systems has triggered academic institutions to closely examine how these technologies may affect the humanity—this is how the fields of roboethics and AI ethics have been born. The identification of ethical issues for robotics and AI and creation of ethical frameworks were the first steps to creating a regulatory environment for these technologies. In this paper, we focus on regulatory efforts in Europe and North America to create enforceable regulation for AI and robotics. We describe and compare ethical principles, policies, and regulations that have been proposed by government organizations for the design and use of robots and AI. We also discuss proposed international regulation for robotics and AI. This paper tries to highlight the need for a comprehensive, enforceable, and agile policy to ethically regulate technology today and in the future. Through reviewing existing policies, we conclude that the European Unition currently leads the way in defining roboethics and AI ethical principles and implementing them into policy. Our findings suggest that governments in Europe and North America are aware of the ethical risks that robotics and AI pose, and are engaged in policymaking to create regulatory policies for these new technologies.

Stakeholders' views on the organisational factors affecting application of artificial intelligence in healthcare: a scoping review protocol

INTRODUCTION

Artificial intelligence (AI) offers great potential for transforming healthcare delivery leading to better patient-outcomes and more efficient care delivery. However, despite these advantages, integration of AI in healthcare has not kept pace with technological advancements. Previous research indicates the importance of understanding various organisational factors that shape integration of new technologies in healthcare. Therefore, the aim of this study is to provide an overview of the existing organisational factors influencing adoption of AI in healthcare from the perspectives of different relevant stakeholders. By conducting this review, the various organisational factors that facilitate or hinder AI implementation in healthcare could be identified.

METHODS AND ANALYSIS

This study will follow the Joanna Briggs Institute framework, which includes the following stages: (1) defining and aligning objectives and questions, (2) developing and aligning the inclusions criteria with objectives and questions, (3) describing the planned approach to evidence searching and selection, (4) searching for the evidence, (5) selecting the evidence, (6) extracting the evidence, (7) charting the evidence, and summarising the evidence with regard to the objectives and questions.The databases searched will be MEDLINE (Ovid), CINAHL (Plus), PubMed, Cohrane Library, Scopus, MathSciNet, NICE Evidence, OpenGrey, O'REILLY and Social Care Online from January 2000 to June 2021. Search results will be reported based on The Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews guidelines. The review will adopt diffusion of innovations theory, technology acceptance model and stakeholder theory as guiding conceptual models. Narrative synthesis will be used to integrate the findings.

ETHICS AND DISSEMINATION

Ethics approval will not be sought for this scoping review as it only includes information from previously published studies. The results will be disseminated through publication in a peer-reviewed journal. In addition, to ensure its findings reach relevant stakeholders, they will be presented at relevant conferences.

Work-system interventions in robotic-assisted surgery: a systematic review exploring the gap between challenges and solutions

BACKGROUND

The introduction of a robot into the surgical suite changes the dynamics of the work-system, creating new opportunities for both success and failure. An extensive amount of research has identified a range of barriers to safety and efficiency in Robotic Assisted Surgery (RAS), such as communication breakdowns, coordination failures, equipment issues, and technological malfunctions. However, there exists very few solutions to these barriers. The purpose of this review was to identify the gap between identified RAS work-system barriers and interventions developed to address those barriers.

METHODS

A search from three databases (PubMed, Web of Science, and Ovid Medline) was conducted for literature discussing system-level interventions for RAS that were published between January 1, 1985 to March 17, 2020. Articles describing interventions for systems-level issues that did not involve technical skills in RAS were eligible for inclusion.

RESULTS

A total of 30 articles were included in the review. Only seven articles (23.33%) implemented and evaluated interventions, while the remaining 23 articles (76.67%) provided suggested interventions for issues in RAS. Major barriers identified included disruptions, ergonomic issues, safety and efficiency, communication, and non-technical skills. Common solutions involved team training, checklist development, and workspace redesign.

CONCLUSION

The review identified a significant gap between issues and solutions in RAS. While it is important to continue identifying how the complexities of RAS affect operating room (OR) and team dynamics, future work will need to address existing issues with interventions that have been tested and evaluated. In particular, improving RAS-associated non-technical skills, task management, and technology management may lead to improved OR dynamics associated with greater efficiency, reduced costs, and better systems-level outcomes.

Multiple perceptions of robotic-assisted surgery among surgeons and patients: a cross-sectional study

Limited data exist regarding knowledge and perceptions of surgeons and patients about robotic-assisted surgery (RAS) in the Middle East. This study aimed to explore perceptions of surgeons and patients about RAS. A questionnaire-based survey was distributed among surgeons of different specialties and patients. Between March and September 2019, 278 and 256 surveys were completed by surgeons and patients, respectively (95.2% and 94.8% response rate, respectively). The surgeons' self-reported experience with technology was related to the level of comfort with computers and computer literacy. Most surgeons have heard of RAS availability, and the majority agreed to its introduction into the healthcare system. However, only 75 (27%) of the surgeons thought that the surgeon has complete control over the robot, and 69 (25%) surgeons were not sure of the level of control the surgeon has over the robot reflecting poor knowledge about this technology. Less than a third of patient respondents have heard of RAS. However, half of them would consider it should they need to undergo surgery. When compared to open surgery, 23 (9%), 26 (10%), and 94 (37%) patient respondents thought that RAS caused less pain, had fewer complications, and was faster than conventional surgery, respectively. Knowledge and perceptions about RAS are limited among surgeons and patients in Kuwait. Efforts should focus on increasing awareness.