#791 1983 · Jack Stout (System Status Management, public utility model EMS) · Emergency medical services / operations management
An economist fixed slow ambulance response times without buying a single new ambulance
the problem
Cities facing slow ambulance response times had one expensive answer: buy more ambulances or build more stations
background
Before the 1980s, every US city facing slow ambulance response times answered the problem the same way: buy more ambulances, or build more fixed stations to shorten the distance a truck had to travel. Both were large capital expenditures a city government usually struggled to approve, and neither addressed the underlying reason response times were slow in specific hours — ambulances sat parked at permanent stations built around where calls happened to originate at some point in the past, not where calls were actually happening right now.
Jack Stout, trained as an economist rather than a paramedic, came to EMS after years evaluating public institutions and managing federal health demonstration projects, not from a clinical or firefighting background. When Tulsa officials asked him to implement ideas from a University of Oklahoma research paper he had led on treating pre-hospital care as a systems problem, he brought that economist's lens to a field that had always treated ambulance placement as a fixed infrastructure question.
what everyone would do
Every EMS system before the 1980s answered slow response times the same way: request budget for more ambulances, or build more fixed stations closer to where response times were worst — both large, one-time capital investments that treated the problem as a coverage-density question rather than a scheduling question.
what they saw
Stout saw that ambulance placement wasn't fundamentally different from the demand-forecasting problems economists already knew how to solve in inventory management or staffing — 911 call volume isn't random noise, it follows patterns by hour, day of week, and location tied to where people actually are at a given time. Once placement was reframed as a forecasting-and-repositioning problem rather than a fixed-infrastructure problem, the existing fleet itself became the resource to be optimized, not the thing that needed to grow.
the move
Stout developed System Status Management: instead of parking ambulances at permanent stations to wait for the next call, crews continuously reposition throughout the day and week to wherever call-volume data indicates a 911 call is statistically about to originate — the same truck stationed outside a factory at shift-change might be repositioned to a residential corridor by evening because the data shows that's where the next call is likely to come from. No new ambulances and no new stations were required; the existing fleet was simply matched to a forecastable demand curve instead of a fixed floor plan. Beginning with Tulsa in the late 1970s and early 1980s, Stout's consulting company built these 'public utility model' systems for cities including Kansas City and others.
why it works
Because call volume follows genuinely predictable patterns tied to population movement and behavior, a system that tracks historical call data by time and location can forecast, with useful accuracy, where the next calls are statistically likely to originate in the coming hours — and repositioning an ambulance that's already idle costs nothing beyond the crew's time, unlike acquiring a new vehicle or building a new station. Matching supply to a forecast demand curve rather than a static map means the same fleet delivers materially better average response times across the whole system, because coverage moves with demand instead of staying fixed at locations that only matched demand at some point in the past.
the payoff
System Status Management became the deployment logic behind what practitioners call High Performance EMS, and public utility model systems built on Stout's framework spread to multiple US cities. The approach remains the underlying deployment logic that many EMS jurisdictions and private ambulance contractors still use today, decades after Stout first published the concept in JEMS.
where it breaks
The approach depends on call volume actually being forecastable with enough accuracy to reposition confidently — a system with genuinely erratic, unpredictable demand gains little from a forecasting model built on historical patterns that no longer hold. It also depends on crews being willing to work under continuous repositioning rather than a fixed home station, which became one of the concept's most persistent criticisms: aggressive optimization for system-wide response times, if implemented without attention to crew morale and retention, can burn out the workforce the system depends on to actually respond to those calls.
what came after
Stout is remembered in the EMS field as the father of System Status Management and the public utility model of ambulance service delivery, and the demand-forecasting, dynamic-repositioning logic he introduced in the early 1980s remains foundational to how many EMS systems and private ambulance contractors plan deployment today, even as later practitioners have worked to balance his efficiency-first framework against crew welfare concerns his approach was sometimes criticized for underweighting.
references
- [1]Jack Stout (1944-2020)National EMS Museum, 2021emsmuseum.org
- [2]3300: High Performance EMS and Clinically Significant Response TimesCompany Commander (Michael Ward, Idaho State University), 2025companycommander.com