
The HIT List: Robotic Surgery on High-Intensity Theatre Lists
🗓 September 19th, 2026 | 🕐 09:00 - 16:00 CEST | 🌐 ONLINE | 🇬🇧 ENGLISH
The Course is complimentary and will be held in the English language
Program description
The HIT List is a live, multi-hospital broadcast led by Prof. Jim Khan that shows how the principles of high-intensity theatre (HIT) lists can be applied to robotic surgery. Across the day, faculty perform live robotic hernia and upper-abdominal cases while narrating not only the operative steps but the choreography around them; how the team keeps the surgeon operating and strips out the time normally lost between cases. What makes it unusual is its focus: most robotic broadcasts dwell on the case itself, whereas this one gives equal weight to the system around the case; patient selection, parallel anaesthesia, docking and turnover, and staffing → that turns an ordinary robotic list into a high-throughput one. By connecting robotic technique to the operational problem every unit is under pressure to solve, it speaks to surgeons and theatre leads at the same time. It is, in effect, a working demonstration of how to make robotic surgery part of the productivity solution rather than a perceived drag on it.
Why it matters — the clinical gap
Health systems across the UK and Europe are carrying historic elective backlogs, and operating-room time is the scarcest resource in the whole pathway. HIT lists have already shown that concentrating on a single procedure type, selecting patients carefully, and engineering the theatre to eliminate downtime can markedly increase the number of patients treated in a day; without compromising safety, outcomes, or patient and staff satisfaction. Robotic surgery, however, is often perceived as slower, because of set-up, docking and turnover, which can make it the first thing sacrificed when a unit is chasing volume. The unmet need is therefore a credible, demonstrated model for running robotic lists at high intensity → proof that robotic hernia and upper-abdominal surgery can be both high-quality and high-volume. This matters now because robotic adoption in general and abdominal surgery is accelerating at exactly the moment backlog pressure and productivity targets are peaking, so units can no longer treat "better surgery" and "more surgery" as a trade-off. They have to be reconciled.
What attendees will gain
Attendees will leave able to see a robotic list as a system to be optimised, not merely a sequence of operations. They will take away concrete methods for compressing the non-operative time that dominates a robotic list →patient selection and scheduling for a single-procedure list, parallel anaesthetic induction, dual-theatre and staggered workflows, and disciplined docking and turnover routines. They will watch, live and unedited, how experienced teams in different hospitals actually run these lists, including where the time genuinely goes and how they protect quality while moving at pace. Just as importantly, they will gain a shared language and an evidence base to take back to their own theatre teams and managers, so they can make the operational and financial case for a robotic HIT-list programme in their own institution.
Learning objectives:
- Evaluate the core principles of high-intensity theatre (HIT) lists and how they translate to a robotic operating list.
- Identify the main sources of non-operative downtime in robotic hernia and upper-abdominal lists, and the levers that reduce them.
- Compare team, anaesthetic and theatre-workflow models — such as parallel induction and dual-theatre running — for maximising robotic throughput.
- Implement patient-selection and scheduling criteria appropriate to a single-procedure robotic HIT list.
- Apply strategies that sustain safety and outcomes while increasing case volume, using the live cases as reference.
Scientific Director
Live Procedures
Faculty in the Studio
Agenda
Welcome & Introduction
Live cases from Portsmouth, Tønsberg and Stoke-on-Trent
Industry Spotlight: Operational Efficiencies with da Vinci 5
Expert Insights
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