OM in the News: The High Cost of Long ER Waits

Crowded emergency rooms have long been a problem in the U.S., writes The Wall Street Journal (June 9, 2020),  In our discussions of queuing theory in Module D, we typically focus on the many attributes of the waiting line–length, time, cost–and on occasion we add the cost of adding multiple servers. However, a recent study by a S. Carolina prof shows that when a new ER opens, crowding at nearby facilities instantly falls an average of 10%. When comparing mortality rates at the older ERs before and after the change, the research found that a 10% drop in patient volume leads to a 24% reduction in mortality rates in the first 30 days and a 17% reduction over 6 months.

In ERs across the U.S., many patients wait for hours to be seen, and about one in 50 leaves before receiving treatment. ER patients awaiting admission to the hospital often have to wait in hallways on gurneys, while ambulances may be turned away from busy facilities. Researchers have long sought to quantify these costs of crowding.

The drop in mortality rates could be attributed to fewer people leaving against medical advice. Ten percent less patients in the ER reduced the number of patients walking out by about 51%. That is important because about 46% of people who leave the ER without being seen still need immediate medical attention. In fact, 11% are hospitalized in the next week. Since patients often come back for care soon after they leave, that could help explain why the drop in mortality rate was most significant in the first 30 days.

The study also examined whether the drop in patent volume affected “boarding”—that is, when patients wait on stretchers, sometimes for hours, before being admitted into the hospital. But patients from the ER tend to generate less profit and consequently often have to wait anyways for beds, so the study concluded that boarding is not impacted by ER crowds.

Classroom discussion questions:

  1. Why is this study important?
  2. What OM issues are faced on a daily basis in ERs?

OM in the News: How to Fix the Emergency Room Using OM Tools

Armed with new strategies borrowed from OM, The Wall Street Journal (Sept. 13, 2017) writes that “hospitals are making a push to fix one of the most irritating issues in health care: the emergency room.” Not only are wait times long, but they’re not improving. The median length of stay for patients treated in the ER and then discharged was 138 minutes in 2015-16, the same as a decade earlier. Crowded ERs and long wait times have bad effects for patient outcomes and satisfaction. I suspect that many of your students have had some ER experiences, and will have their own ideas to complement these found in the article:

Eliminate triage. One of the biggest frustrations people encounter in the ER is registration and triage. After signing in and giving information, patients see a nurse who asks questions to judge how urgently they need care and the amount they’ll need, on a 5-point scale. Then patients wait to see a doctor who may ask them the same things all over again. A patient seldom sees an MD in less than 30 minutes, even if the ER is empty.

Eliminate details that waste time using lean management. Use lean (Ch. 16) to look at all steps in the ER processes and figure out how to improve them, cutting out as much waste as possible. For example, one hospital saw nurses were taking time to escort patients to other areas of the hospital for X-rays, so it put up colored tape that patients could follow to where they needed to go.

Quickly help patients with minor complaints and those who probably just need tests. Give people with small complaints, or who need diagnostic tests their own spot in the ER–and not a bed. Redesign the ER to include an area where patients in need of a medication refill or with mild complaints can be seen right away by a professional dedicated to only such patients. Seeing low-acuity patients quickly means there’s not a huge pileup of people in the waiting area.

Classroom discussion questions:

  1. How could software help?
  2. What other stumbling blocks slow down the ER process (eg, prescheduled surgeries or admissions to the hospital, which are also mentioned in the article)?

 

OM in the News: Hospital ERs Turn to Lean Management

The Wall Street Journal (Aug.2, 2011) writes: “To speed patients through the system, emergency rooms are adopting lean-management principles pioneered by Toyota to increase efficiency, cut costs, and provide better service”. It’s certainly about time. Waiting times in ERs that can run into several hours have become a fact of life in the US. And while the number of ER  departments has dropped by 1/3 over the past 2 decades, the number of patients seeking care has gone up by 40%. To boot, there are fewer doctors doing primary-care even as more uninsured patients show up (who must, by law, be treated).

The lean production changes (see Ch.16) include: (1) streamlining the traditional methods of triaging, which means no longer providing a bed for non-critical patients,(2) staffing with less-costly nurse practitioners and PAs so ER doctors can avoid paperwork and focus on care, and (3) posting ER waiting times on-line , in waiting rooms, and even on highway billboards.

The 2 metrics ERs use to judge their efficiency are: LWBS (“leave without being seen”) and AWT (“average wait time”). The latest national LWBS number is 2.7%, up from 1.7% in the prior decade. (California is closer to 20%).  “We don’t want them to walk out the door for their own health, but it’s also not a good business model”, says one ER director. Revenue drops about $450,000 if even 1% of patients walk in a typical ER.

With lean changes, one Phoenix hospital chain (Banner Health) saw its LWBS drop from 8% in 2007 to 0.5%  this year, while volume increased 4%. At Ochsner Medical Center (New Orleans), AWT went from several hours down to 33 minutes, while the LWBS rate dropped from 15% to 1%. The process analysis tools we discuss in OM can indeed make a major difference in the quality of health care.

Discussion questions:

1. What tools in Ch.7 (Process Strategy) can be useful in reengineering in the ER?

2. What other JIT/Lean/TPS approaches discussed in Ch.16 can be employed in the ER?