Latest / The Operations Podcast with Fexingo: Process, People, and Profit in Modern Business / How One Hospital Cut Surgical Wait Times by 50 Percent
Transcript
- Lucas: You know that feeling when you show up for a scheduled appointment and you still end up waiting an hour? Luna: Oh, I live that feeling. Dentist visits, car repairs, you name it. Lucas: Now imagine you're waiting for surgery. You've been fasting since midnight, you're anxious, and the nurse keeps saying 'the doctor is running behind.' That's the reality for millions of patients every year. Luna: And it's not just uncomfortable — it's costly. Idle OR time can run hundreds of dollars a minute. Lucas: Exactly. So today I want to talk about a hospital system that decided to fix this. They cut their average surgical wait time by half — from about 45 minutes down to 22 — without hiring a single new surgeon or adding a single operating room. Luna: Okay, I need to hear how. Was it a scheduling algorithm? More staff? Better forecasting? Lucas: All of the above, in a way, but the core insight is surprisingly simple. They realized that most delays weren't because surgeries took longer than expected — they were because the turnover between surgeries took too long. Luna: Turnover being the time it takes to clean the room, set up instruments, bring in the next patient? Lucas: Right. And the average turnover in a typical US hospital is around 40 minutes. This system was at 42. By the end of the project, they got it down to 18 minutes. Luna: That's a massive improvement. How? Lucas: They borrowed a concept from Formula 1 pit crews. They created a dedicated turnover team that didn't just clean — they pre-staged equipment, had a checklist, and everyone had a specific role. No more waiting for someone to find the right surgical tray. Luna: So the OR nurses weren't also doing turnover — they had a separate team? Lucas: Exactly. The nurses stayed focused on patient care. A separate 'turnover crew' handled the room reset. And they timed every single turnover, posting the results in real time on a board in the hallway. Luna: Transparency plus accountability. Classic lean operations. Lucas: But here's the part I find really interesting. They also changed how they scheduled surgeries. Most hospitals schedule based on the surgeon's estimated time — which is notoriously optimistic. This hospital started using historical data on actual surgery durations. Luna: So instead of the surgeon saying 'I'll be done in 90 minutes,' they looked at the last 50 similar procedures and saw the average was actually 110 minutes? Lucas: Precisely. They built a simple model that gave a more realistic time window. That alone reduced the cascade of delays. If the first surgery runs over, every subsequent patient waits longer. Luna: It's the same principle as buffer management in factory scheduling. You don't plan at the theoretical maximum throughput. Lucas: Right. And they added a small buffer between cases — just 10 minutes — to account for unpredictable events. That buffer absorbed most of the variability. Luna: Counterintuitive, because you'd think adding buffer would increase wait times. But if it prevents the snowball effect, it actually reduces total wait. Lucas: Exactly. The data backed it up. Within six months, the percentage of surgeries starting on time went from 58 percent to 89 percent. Luna: And what about patient satisfaction? Did that improve? Lucas: Dramatically. The hospital's Press Ganey scores for surgical experience went up by 22 percentile points. Patients noticed they weren't waiting as long. Luna: That's a great example of an operations fix that directly improves the customer experience. Lucas: And it's not just for hospitals. The same principles apply anywhere you have a series of scheduled tasks with handoffs — a law firm's conference room, a car repair shop, a university's advising office. Luna: Right. Because the root cause is usually the same: poor data on actual times, no dedicated turnover team, and no real-time feedback. Lucas: One of the things I love about operations is that the solutions are often transferable. The hospital's director of surgical services actually said they got the idea from watching a TED Talk about pit crews. Luna: Speaking of things that keep this show ad-free — we keep the podcast independent because we believe these ideas should spread without being interrupted by a mattress commercial. Lucas: Yeah, we don't run ads. If this kind of content has helped you think differently about your own work, the best way to support that choice is at buy me a coffee dot com slash fexingo. Luna: It's a simple way to keep the episodes free for everyone. No pressure, just if you find value here. Lucas: So back to the hospital — they also standardized their preoperative checklist. Every patient got the same set of instructions, same prep kit, same arrival time window. Luna: That seems basic, but I bet a lot of hospitals don't do it. Lucas: You'd be surprised. Before the change, some patients were told to arrive at 6 AM for a 10 AM surgery because the scheduler wanted a buffer. That meant four hours of waiting. After the change, they got a specific arrival time tied to their actual scheduled start. Luna: And that alone probably cut a lot of frustration. Lucas: It did. They also implemented a 'huddle' every morning — 15 minutes where the entire OR team, including anesthesia and housekeeping, reviewed the day's schedule and anticipated bottlenecks. Luna: That's the same as a daily stand-up in agile software teams. Lucas: Exactly. And they used a simple visual board — whiteboard with magnets — to show the status of each OR. Green for on time, yellow for at risk, red for delayed. Luna: So everyone in the department could see the bottlenecks in real time. Lucas: And they could respond. If one room was yellow, the turnover crew could prioritize it. If a surgeon was consistently running over, they'd have a coaching conversation. Luna: That's the kind of culture shift that's harder than any process change. Lucas: It is. And it took a strong OR director who had buy-in from the surgeons. But once the data showed that on-time starts actually meant more surgeries per day and less overtime, most surgeons came around. Luna: What was the measurable business impact? Did they do more surgeries? Lucas: They increased surgical volume by about 8 percent without adding any OR time. That translated to roughly $4 million in additional revenue annually, just from better utilization. Luna: And that's before counting the savings from reduced overtime and fewer cancellations. Lucas: Exactly. Cancellations due to 'lack of time' dropped by 70 percent. That means patients didn't have to reschedule and go through the whole prep process again. Luna: So it's better for patients, better for staff morale — less chaos — and better for the bottom line. Lucas: It's a classic win win win. And the investment was minimal: some whiteboards, a few hours of training, and the willingness to change how they scheduled. Luna: That's the kind of story I love sharing with operations teams in any industry. Lucas: There is a coda to this story. A year later, they applied the same model to their outpatient procedure center and got similar results. Luna: So it's replicable. That's the real test of an operations improvement. Lucas: Exactly. And I think the lesson is that you don't need a massive digital transformation or a multi-million dollar software suite. Sometimes it's just about measuring the right thing, creating a dedicated team, and giving people real-time feedback. Luna: So the next time I'm waiting in a lobby, I'll be thinking about what their turnover time is. Lucas: And whether they have a pit crew. That's the real question.