Latest / The Operations Podcast with Fexingo: Process, People, and Profit in Modern Business / How a Hospital Cut ER Wait Times with Triage Operations
Transcript
- Lucas: Let's talk about emergency rooms. Everyone has a story about a long wait in the ER — four hours, six hours, sometimes longer. But one Midwestern regional hospital managed to cut its average emergency department wait time in half, from about four hours down to two. Luna: That's a huge drop. How did they do it without just adding beds or hiring a ton more staff? Lucas: Exactly — they didn't do either of those things. The intervention was entirely operational. They redesigned their triage process. The traditional approach is one triage nurse who assesses every patient, assigns a acuity level, and then the patient waits in the waiting room until a bed opens. That creates a bottleneck. Luna: So they split the triage role? Lucas: Yes. They created two teams. The first is a rapid assessment team — two nurses and a paramedic — who do a brief evaluation and initiate any immediate tests like an EKG or blood draw right there in the triage area. The second team is a diagnostic initiation team that uses those early results to start treatment orders before the patient even gets to a bed. They call it 'front-loading' the work. The goal is to compress the time between arrival and the first clinical action. Luna: So the patient's care actually starts in the waiting room, not after they're admitted. Lucas: Exactly. And they coupled that with a policy called immediate bedding for high-acuity patients — those with chest pain, stroke symptoms, severe trauma. Those patients skip the waiting room entirely and go straight to a treatment room. That alone cut door to doctor time by 40 percent. Luna: But doesn't that risk backing up the treatment rooms for lower-acuity patients? Lucas: It did initially. The lower-acuity patients — things like sprains, earaches — actually had longer waits in the early weeks. But the hospital added a fast-track lane staffed by a physician assistant and a nurse that handled those cases in a separate pod. Those patients started to experience shorter total times too. So the overall median dropped. Luna: What about data? How did they track whether changes were actually working? Lucas: They installed a real-time dashboard on a big screen in the ER command center. Every patient's status — triage, lab ordered, bed assigned, discharged — was updated in minutes. The charge nurse could see bottlenecks forming and reassign staff on the fly. They also ran weekly huddles to review the data and tweak protocols. Luna: That sounds like a lot of change management. Was there pushback from the staff? Lucas: Definitely. Nurses were worried that the rapid assessment would compromise safety. The hospital addressed that by running a two-week simulation with dummy patients first, and then a phased rollout. They also empowered a front-line nurse to co-design the protocols. Once the staff saw early data — like a 20 percent drop in left-without-being-seen rates — buy-in grew. Luna: Left-without-being-seen is a huge revenue leak too. Patients who leave cost the hospital money. Lucas: Exactly. They estimated each left-without-being-seen patient represented about $200 in lost charges. By cutting that rate in half, the hospital recouped roughly $1.2 million a year in potential revenue. That more than covered the cost of the added triage staff. Luna: So it's not just a patient experience play — there's a direct financial return. Lucas: Right. And the improvement was sustainable. Sixteen months after the launch, the median door to discharge time for discharged patients was still under two and a half hours. The key was that they built continuous improvement into the process — weekly reviews, monthly training updates, and quarterly process audits. Luna: It's a great example of how operations thinking can solve a chronic problem without a huge capital investment. Lucas: Exactly. And if this kind of deep dive into real-world operations is useful for you, it's worth noting that this show stays ad-free because of listener support. You can help keep it going at buy me a coffee dot com slash fexingo. Luna: Yeah, it's a simple way to make sure we can keep digging into stories like this. And if you're in a role where you're trying to drive similar changes, that support goes directly to research time. Lucas: Absolutely. So next time you're in an ER, look at the flow — there's an operations story in every waiting room.