Latest / The Operations Podcast with Fexingo: Process, People, and Profit in Modern Business / How a Hospital Reduced Opioid Waste by 80 Percent
Transcript
- Lucas: So a few weeks back I was looking at a number that stopped me cold: in a typical 300-bed hospital, something like 15 to 20 percent of all opioid doses that get dispensed for a patient never actually get used. They sit in a drawer, they're returned to the pharmacy, or they get tossed. And in some cases, that number is way higher. Luna: And wasted opioids don't just hit the hospital's bottom line — they enter the community, right? They get diverted. It's a safety issue, not just a cost issue. Lucas: Exactly. And that's the story of today's episode. The operations story behind one hospital system that decided to tackle that waste — not with policy alone, but with a full-blown process redesign. We're talking about a mid-sized health system in Ohio — I'll call it Midwest Med for now — that managed to cut its unused opioid waste by over 80 percent in about 18 months. Luna: Eighty percent — that's huge. How did they do it? Was it a single piece of technology, or a bundle of changes? Lucas: It was a bundle, but I'd say the linchpin was automated dispensing cabinets — specifically the BD Pyxis system with what they call 'Cubbies.' If you've been in a hospital, you've seen these cabinets on every nursing unit. They're like high-tech vending machines for medications. The nurse logs in, pulls the ordered drug for a patient, and it's recorded. But the old workflow had a gap: if the patient didn't need the full dose — say the order was for two milligrams but the patient only needed one — the nurse would waste the unused portion in a designated container and then manually document it on paper. And that manual step was where the system broke down. Luna: So the paper documentation was unreliable. Nurses would forget to record it, or they'd do it at the end of the shift from memory, and the pharmacy had no real-time visibility. Lucas: Right. Midwest Med's internal audit found that about 40 percent of waste events were either undocumented or documented incorrectly. That's a diversion risk and a regulatory headache. So they decided to go electronic. They upgraded their Pyxis cabinets to include a 'waste' function: when a nurse wastes a dose, they scan the barcode on the drug, enter the amount wasted, and the system records it instantly. The wasted drug goes into a locked bin inside the cabinet that can only be emptied by pharmacy staff. Luna: Doesn't that add time to the nurse's workflow? The number one objection I've heard when hospitals talk about this is that nurses already have too many clicks to deal with. Lucas: It does add a few seconds — and that was the biggest pushback initially. Midwest Med's nursing council pushed hard against the new process. They argued it would slow down medication administration during peak hours. So the operations team did something smart: they ran a time-motion study on two comparable units for two weeks. One unit used the old paper method, the other used the new electronic waste process. And the data showed that the electronic process added an average of 11 seconds per waste event. But it eliminated the 90-second end of shift reconciliation that nurses were doing to try to reconstruct their waste records. Net time savings. Luna: Oh, that's a classic operations move — show them the data. Did that win over the nurses? Lucas: Mostly. There was still a learning curve, and some nurses remained skeptical for months. But the pharmacy director told me that the turning point came when a nurse realized she could look up her own waste record on the dashboard and see exactly what she had wasted for a patient — which she needed for a legal inquiry. Before, she would have had to dig through paper binders. That one incident shifted a lot of attitudes. Luna: So the technology solved the documentation problem. But how did it actually reduce the volume of waste? Just tracking something doesn't automatically reduce it. Lucas: Right — tracking is necessary but not sufficient. Midwest Med used the data from the new system to identify patterns. For example, they found that on the surgical floor, a specific opioid — hydromorphone — was being wasted at three times the rate of any other drug. Why? Because the standard order was for a one-milligram vial, but the average patient only needed 0.4 milligrams. So the pharmacy worked with the surgical team to change the standard order size to 0.5 milligrams. That one change cut hydromorphone waste on that floor by 60 percent. Luna: That is such a straightforward fix. Instead of asking nurses to waste less, you just gave them a smaller starting dose. That's the process thinking. Lucas: Exactly. They did that across multiple drugs and units. The pharmacy also started doing 'waste rounds' — a pharmacist would walk the units twice a day, check the locked waste bins, and reconcile the contents against the electronic log. That caught a few discrepancies early, and it also reinforced the message that the hospital was serious about accountability. Luna: And the 80 percent reduction — is that the headline number, or did they see other benefits too? Lucas: The headline is that opioid waste dropped from about 22 percent of dispensed doses to under 4 percent over 18 months. But there were side benefits: the hospital's controlled substance diversion detection improved. They caught two cases of potential diversion — one involving a nursing assistant, another involving a contract pharmacist — that might have slipped through under the old system. And the pharmacy saved about 12 hours of labor per week that used to be spent on manual reconciliation. Luna: That's a solid ROI. But I imagine the hardest part wasn't the technology — it was getting the staff to trust the new process. Did they have any failures along the way? Lucas: A few. The initial rollout on one unit had to be paused because the barcode scanners on the Pyxis cabinets weren't reading the drug labels correctly — a calibration issue. That took two weeks to fix, and in the meantime the nurses had to use a workaround that basically doubled their clicks. It eroded trust. The operations team learned to do a full 'dress rehearsal' with test medications on any unit before going live. They also built in a feedback loop: a monthly 'waste huddle' where nurses could surface issues directly to the pharmacy and IT teams. Luna: I love that — a waste huddle. It's almost like a kaizen event, but specifically for this one metric. Lucas: Exactly. And it's worth noting that Midwest Med is now taking this same approach to other drug waste: IV antibiotics, chemotherapy agents, even anesthesia gases. The principle is the same — measure, identify the biggest sources of waste, then redesign the workflow to eliminate them. The oncology pharmacy, for instance, found that they were wasting about 15 percent of compounded doses because the standard vial sizes didn't match typical dosing. They started ordering smaller vials for certain high-use drugs and cut waste by half. Luna: So the model is replicable. Are there any barriers that make this hard for smaller hospitals without the budget for a full Pyxis upgrade? Lucas: That's the question, right? The hardware — automated dispensing cabinets — is expensive. A single cabinet can run $30,000 to $50,000, plus annual software fees. But Midwest Med's pharmacy director pointed out that you don't need the latest everything. The waste tracking function is a software upgrade on existing Pyxis cabinets — about $5,000 per unit. And the real insights came from the analytics dashboard, which they built in-house using a SQL database and a Tableau front end. That cost maybe $20,000 in developer time. So the incremental cost was modest compared to the savings from reduced waste and labor. Luna: And also compared to the cost of a diversion incident — which can include fines, legal fees, and reputational damage. Lucas: Right. One diversion event can cost a hospital millions. So even if the technology costs six figures, it can pay for itself quickly. But I also think there's a low-tech version: some hospitals have reduced waste just by changing the default order size on their EHR — no new hardware. That's a process change that costs essentially nothing. Luna: Before we leave this topic — one thing I've been thinking about: we hear a lot about the opioid crisis from a public health perspective, but less about the operational footprint inside hospitals. How much of the problem is actually rooted in how meds are ordered, stored, and tracked? Lucas: If today's episode is useful to you in that way — if it gives you ideas for your own organization or just reframes how you think about waste — that's exactly what we hope for. And keeping this show ad-free and focused on real cases like this one is something we're able to do because of listener support. If you'd like to help keep it going, you can find us at buy me a coffee dot com slash fexingo. No pressure, ever — just a way to say this kind of deep-dive content matters to you. Luna: Yeah, seconded. We put a lot of time into tracking down these numbers and talking to the people who actually did the work. It means a lot when listeners find it valuable. Lucas: Alright — back to the operations. One extension of the waste reduction work that I found really interesting: Midwest Med started using the same real-time waste data to adjust their inventory purchasing. They realized they were overstocking certain opioids because the waste data showed that actual usage was lower than what they'd been forecasting. By adjusting their order quantities, they cut their opioid inventory carrying costs by about 15 percent and reduced the risk of expired drugs. Luna: So the waste tracking system became a demand-sensing tool. That's a nice feedback loop: less waste leads to better purchasing data, which leads to less overstock, which leads to less waste. Lucas: Exactly. And it's a principle that applies well beyond opioids. Any hospital pharmacy that manages high-cost, high-risk medications could benefit from that same closed-loop approach. The key insight from Midwest Med's experience, I think, is that you don't need a perfect system from day one. They started with a single unit, a single drug class, and a single metric — waste percentage. They proved the concept, built the trust, and then scaled. Luna: That's the operations playbook, isn't it? Start small, measure relentlessly, and let the data guide you. Lucas: That's the playbook. And the results speak for themselves: 80 percent less waste, lower costs, better safety, and a culture that now sees waste data as a tool, not a punishment.