Latest / The Operations Podcast with Fexingo: Process, People, and Profit in Modern Business / How a Hospital Cut Surgery Cancellations by 40 Percent with Operations
Transcript
- Lucas: So here's a number that stopped me: one in ten scheduled surgeries gets cancelled on the day of the procedure. That's national average in the US for major teaching hospitals. And for the patient, that's not just an inconvenience — it's a prepped bowel, a missed day of work, sometimes a rescheduled cancer surgery. Luna: And for the hospital, that's an empty OR with staff already paid and supplies already opened. I've read estimates that a single cancelled surgery can cost between $15,000 and $25,000 in wasted resources. Lucas: Exactly. Which is why I wanted to look at how one hospital — let's call it University Medical Center — brought that cancellation rate down from about 12 percent to just over 7 percent. That's a 40 percent reduction in about eighteen months. Luna: Forty percent — that's meaningful. What was their approach? Was it a single big fix or a bunch of small ones? Lucas: It was really a system of three interconnected changes. And you know what? If these conversations have moved your work forward in some small way, the show is supported by listeners at buy me a coffee dot com slash fexingo. No pressure, just a heads-up that that's what keeps it ad-free. Anyway, back to University Medical Center. The first change was what they called the 'pre-huddle' — a fifteen-minute meeting the day before surgery with the surgeon, the anesthesiologist, the charge nurse, and a scheduler. Luna: Yeah, I can see how that would help. It's basically a last-minute alignment check. Lucas: Right. And the data from that huddle fed into a 'patient readiness score' — a simple red yellow green classification based on factors like whether the patient had completed their pre-op labs, whether they had a confirmed ride home, whether they had stopped blood thinners as instructed. Yellow meant 'needs one or two calls today to resolve.' Red meant 'high probability of cancellation unless escalated.' Luna: So they were flagging problems while there was still time to fix them, not at 6 AM when the patient shows up. Lucas: Exactly. And the third piece was real-time bed tracking. One of the biggest reasons for day-of cancellations — especially for inpatient surgeries — is that no bed is available post-op. The patient gets prepped, the OR is ready, but the recovery unit is full. So the hospital implemented a live dashboard showing bed availability by unit, updated every 30 minutes. Luna: That seems obvious, but I bet most hospitals don't do it because it requires a cultural shift — people have to actually update the system in real time. Lucas: That's exactly the challenge. The technology is the easy part. The hard part is getting the nursing staff to see the bed tracking as their tool, not a surveillance tool. University Medical Center did it by involving the charge nurses in the dashboard design — they picked the color scheme, the refresh rate, even the alert thresholds. Luna: So they built ownership. That's smart operations psychology. Lucas: It is. And the results were pretty dramatic. Within six months, the cancellation rate dropped from 12 percent to about 9 percent. By the end of year one, it was under 8. And in the second year, they hit 7.2 percent. Luna: And what about the financial impact? Did they calculate the savings? Lucas: They did. They estimated that each avoided cancellation saved roughly $18,000 in direct costs — staff time, opened supplies, opportunity cost of the OR slot. With about 400 cancellations avoided per year, that's over $7 million annually. Luna: Wow. And that doesn't even include the softer benefits — patient trust, surgeon satisfaction, reduced overtime for call-in staff. Lucas: Right. And here's the thing — none of these changes required a big capital investment. The pre-huddle was just a reorganization of existing time. The readiness score was a spreadsheet and some training. The bed tracking dashboard was built using existing IT infrastructure. Luna: So it's really about process, not technology. Which is the core of operations. Lucas: Exactly. And it's replicable. I've seen similar approaches at community hospitals, at ambulatory surgery centers — the specifics vary, but the principle holds: identify your failure points early, create a simple flagging system, and empower the frontline to act on it. Luna: And the pre-huddle idea — that's something any surgical unit could start next week. No budget approval needed. Lucas: Right. And that's the kind of operations win that builds momentum. Once the OR team sees that they're cancelling fewer cases, they're more willing to adopt the next improvement. Luna: So what's next for University Medical Center? Are they going after the remaining 7 percent? Lucas: They are. The next phase is tackling the 'physician preference' cancellations — where a surgeon decides to postpone because a more lucrative case came in, or because they're running late from clinic. That's a harder cultural nut to crack. Luna: That's interesting — the operations problem becomes a behavioral economics problem. Lucas: Exactly. And I think that's a good place to leave it. Next episode, we'll look at a completely different industry — I'm thinking about how a container shipping line cut port turnaround time by 25 percent using a similar pre-arrival huddle model. Luna: I'll be there. For now, if you want to support the show and keep it ad-free, you know where to find us — buy me a coffee dot com slash fexingo. Thanks for listening.