Is non-stop always better? Examining assumptions behind the concept of flow disruptions in studies of robot-assisted surgery

Workflow disruptions in robot-assisted surgery

Surgical flow disruptions are unexpected deviations from the natural progression which can potentially compromise the safety of the operation. Separation of the surgeon from the patient and team members is the main contributor for flow disruptions (FDs) in robot-assisted surgery (RAS). FDs have been categorised as communication, coordination, surgeon task considerations, training, equipment/ technology, external factors, instrument changes, and environmental factors. There may be an association between FDs and task error rate. Intervention to counter FDs include training, operating room adjustments, checklists, teamwork, communication improvement, ergonomics, technology, guidelines, workflow optimisation, and team briefing. Future studies should focus on identifying the significant disruptive FDs and the impact of interventions on surgical flow during RAS.

Associations of flow disruptions with patient, staff, and process outcomes: a prospective observational study of robotic-assisted radical prostatectomies

BACKGROUND

Technological advancements in the operating room (OR) have sparked new challenges for surgical workflow, OR professionals, and patient safety. Disruptive events are frequent across all surgical specialties, but little is known about their effects on patient outcomes and the influence of systemic factors. The aim was to explore the associations of intraoperative flow disruptions (FDs) with patient outcomes, staff workload, and surgery duration.

METHODS

Prospective, single-center, and multi-source study comprising direct and standardized OR observations of urologic surgical procedures, clinical patient outcomes, and staff- and patient-reported outcome data (PROMs; 3-month follow-up). All data were recorded between 01/2020 and 10/2021. FDs were assessed using standardized procedure observations. Linear and logistic regression analyses including multiple system factors were used to explore the effects of FDs on surgical outcomes.

RESULTS

61 robotic-assisted radical prostatectomy procedures were captured (with 61 patients and 243 staff reports). High rates of FDs were observed; however, our analyses did not show significant relationships with patient complication rates. Equipment- and patient-related FDs were associated with increased staff workload. No association was found between higher rates of FDs and procedure duration.

CONCLUSIONS

FDs were not related to inferior patient outcomes. Our findings may inform future OR investigations that scrutinize the complex interplay of human, team, process, and technological components that mitigate the effects of FDs during surgery.

Factors affecting workflow in robot-assisted surgery: a scoping review

BACKGROUND

Robot-assisted surgery is expanding worldwide. Most research in this field concentrates on surgeons' technical skills and patient outcome, but research from open and laparoscopic surgery shows that teamwork is crucial for patient safety. Team composition is changed in robot-assisted surgery with the surgeon placed away from the bedside, potentially altering teamwork and workflow in the operating theatre. This scoping review aimed to explore how factors affecting workflow as well as team members' social and cognitive skills during robot-assisted surgery are reported in the literature.

METHODS

A systematic search was performed in the databases Medline, EMBASE, PsycINFO, and Web of Science. Reports were screened according to the Preferred Reporting Item for Systematic reviews and Meta-Analysis for Scoping Review guidelines. Inclusion criteria were robot-assisted surgery, multi-professional teams, and workflow, flow disruptions, or non-technical skills.

RESULTS

A total of 12,527 references were screened, and 24 articles were included in the review. Articles were heterogeneous in terms of aim, methods and focus. The studies concentrated on two main fields: flow disruptions and the categorization of their causes and incidences; and non-technical skills describing the challenges of communication and effects on situation awareness.

CONCLUSION

Many studies focused on flow disruptions and found that communication, coordination, training, and equipment/technology were the most frequent causes. Another focus of studies was non-technical skills-primarily communication and situation awareness. Future studies could focus on how to prevent the most harmful flow disruptions and develop interventions for improving workflow.

Operating room team strategies to reduce flow disruptions in high-risk task episodes: resilience in robot-assisted surgery

In healthcare work settings, flow disruptions (FDs) pose a potential threat to patient safety. Resilience research suggests that adaptive behavioural strategies contribute to preventing cognitive overload through FDs at crucial moments. We aimed to explore the nature and efficacy of operating room (OR) team strategies to prevent FDs in robot-assisted surgery. Within a mixed-methods design, we first asked surgical professionals, which strategies they apply, and secondly, identified behavioural strategies through direct observations. Findings were analysed using content analysis. Additionally, FDs were assessed through live observations in the OR. The sample included four interviewed experts and 15 observed surgical cases. Sixty originally received strategies were synthesised into 17 final OR team strategies. Overall, 658 FDs were observed with external FDs being the most frequent. During high-risk episodes, FDs were significantly reduced (p < 0.0001). The identified strategies reveal how OR teams deliberatively and dynamically manage and mitigate FDs during critical tasks. Our findings contribute to a nuanced understanding of adaptive strategies to safeguard performance in robot surgery services. Practitioner Summary: Flow disruptions (FDs) in surgical work may become a severe safety threat during high-risk situations. With interviews and observations, we explored team strategies applied to prevent FDs in critical moments. We obtained a comprehensive list of behavioural strategies and found that FDs were significantly reduced during a specific high-risk surgical task. Our findings emphasise the role of providers' and teams' adaptive capabilities to manage workflow in high-technology care environments.

Addressing misconceptions of flow disruption studies in "Is non-stop always better? Examining assumptions behind the concept of flow disruptions in studies of robot-assisted surgery"

This letter to the editor provides a response to "Is non-stop always better? Examining assumptions behind the concept of flow disruptions in studies of robot-assisted surgery." The authors provide much needed clarification on misconceptions of flow disruption studies. The evolving methodology is not aimed at creating a "non-stop" flow, or optimizing efficiency, but understanding the clinical process from a systems perspective.