Latest / The Operations Podcast with Fexingo: Process, People, and Profit in Modern Business / How a Hospital Cut No-Show Rates by 45 Percent with Behavioral Operations
Transcript
- Lucas: You ever schedule a doctor's appointment, forget about it, and then get that automated reminder call the day before — and you still show up late or not at all? Luna: Guilty. I think most of us are. The healthcare industry loses somewhere around 150 billion dollars a year globally to no-shows. Lucas: That's the scale of the problem. And for years, the standard operational fix has been overbooking — same as airlines. You predict a certain percentage won't show, so you double-book that slot. But that creates chaos when everyone does show up. Luna: Right, waiting rooms overflow, clinicians get behind, patient satisfaction tanks. It's a band-aid, not a solution. Lucas: So a few years ago, a large hospital system in the Midwest — I'm thinking of one with about 15 primary care clinics — decided to try a different approach. They partnered with a behavioral design firm to test whether they could change patient behavior instead of just managing around it. Luna: What did they try? I've heard of things like 'if you miss, you pay a fee,' but that feels punitive. Lucas: They went the opposite direction. The intervention was simple: instead of a standard reminder call 24 hours before, they sent a text message 48 hours before that asked patients to explicitly confirm or reschedule. But here's the behavioral twist — the text framed the request as a commitment. It said something like, 'You have an appointment on Thursday at 2 PM. Please reply YES to confirm you'll be there, or NO to reschedule. If you don't reply, we'll assume you're coming, and we'll expect you.' Luna: Interesting — it's an active choice, not a passive reminder. Did it work? Lucas: Dramatically. In the pilot, no-show rates dropped from about 30 percent to under 16 percent — that's nearly a 50 percent reduction. And they didn't increase staff workload because the system was automated. Luna: So the commitment device — asking people to make a public promise — actually changed behavior more than a simple reminder. There's a lot of psychology behind that. Lucas: Exactly. It's the same principle behind why asking someone 'Will you come to my party?' gets a higher RSVP rate than 'Here's the date, let me know.' You're making them mentally commit. And the 48-hour window gives them time to adjust, so last-minute cancellations also went down. Luna: But what about the people who didn't respond? Did they just not show up anyway? Lucas: The hospital added a second layer: if a patient didn't reply within 24 hours, they got a follow-up text with a slightly stronger frame. It said something like, 'We reserved time for you. If you need to cancel, please do so now so we can offer it to another patient.' That introduces a social norm — you're taking a slot someone else could use. Luna: That's a nudge, but it also edges into guilt. Did they track equity? Because low-income patients might have less reliable phone access or more chaotic schedules. Lucas: Great question. They did analyze by zip code and insurance type. The no-show reduction was consistent across all groups. But they also found that patients on Medicaid — who historically have higher no-show rates — actually responded more strongly to the commitment text. The theory is that for patients with more barriers, the reminder plus the commitment creates a behavioral anchor. Luna: So it's not about punishing, it's about designing a system that works with how people actually behave. That's the core of operations, isn't it? Lucas: It is. And I think what's beautiful about this case is that it didn't require new software or expensive consultants long-term. The cost was essentially the cost of sending a few million text messages. The hospital estimated they saved about $4 million annually in lost revenue from unused appointment slots. Luna: Four million — that's real. And that's just one system. If you scale this across the whole industry, the savings would be enormous. Lucas: Before we keep going, I want to mention something that's relevant here. You know how we keep this show free of ads and sponsored content? That's intentional — we want to keep the conversation focused on what actually works, not what a sponsor wants to push. If you've found episodes like this useful in your own work or just interesting as a lens on how things work, you can support the show at buy me a coffee dot com slash fexingo. It's a simple way to help us keep doing episodes like this, and it really does make a difference. No pressure, just putting it out there. Luna: Yeah, and honestly, listener support is what keeps us independent. We don't have to tailor the content to anyone but you. So if you're into that, great. Lucas: Exactly. So back to the commitment text — there's another dimension I want to explore. The hospital also tested what happened when they added a small penalty: a $10 fee for no-shows that wasn't waived unless you called within 24 hours. Luna: I'm guessing that backfired? Lucas: It did. No-show rates actually went up slightly. Patients resented the fee, and some responded by simply not engaging — they'd rather avoid the call than get charged. Behavioral economics calls that 'reactance.' So the penalty frame actually undermined the commitment nudge. Luna: That's a key lesson: penalties can feel like a loss, and people disengage. The commitment text frames it as a social contract instead. Lucas: Right. And the hospital learned that if you frame the no-show as a breach of trust rather than a transaction, you get better outcomes. That's a subtle but crucial operational insight. Luna: Are other industries picking up on this? I'm thinking about dental offices, salons, even auto repair shops. Lucas: They are. Some dental chains have adopted a version where the confirmation text includes a link to reschedule with one tap. That removes friction. The key is to make it easy to cancel — paradoxically, that reduces no-shows because people don't just ghost. Luna: Because if canceling is hard, they wait until it's too late, then just don't come. So the operational design has to account for that inertia. Lucas: Exactly. And that's the broader takeaway. Most operations problems — whether it's no-shows, late deliveries, or employee absenteeism — aren't really about bad people. They're about systems that assume people will act rationally, when in fact we're predictably irrational. The best operations design works with that irrationality. Luna: So next time I get a text asking me to confirm my dentist appointment, I'll know why it works. And I'll actually reply. Lucas: That's the hope. And maybe you'll save your dentist a few thousand dollars in the process. For The Operations Podcast, I'm Lucas. Luna: And I'm Luna. Thanks for listening.