Hospitals facing overcrowded ERs and boarded patients almost always reach for the same fix: more beds, more staff, more capital construction to absorb the chaos of unpredictable emergency arrivals. That assumes the chaos is unavoidable — an act of nature nobody could plan around — and it points every fix toward buying more capacity rather than questioning where the crowding actually comes from.

Eugene Litvak's variability methodology drew a distinction hospitals had blurred: emergency demand is genuinely random, but elective-surgery demand is scheduled by the hospital itself, and hospitals generally cluster it on particular weekdays — commonly Monday and Tuesday — partly so surgeons aren't called in to check on patients over the weekend. That self-inflicted, entirely controllable surge, not the ER's unpredictable one, is what a smoothed schedule frees up.

Eugene Litvak's variability methodology: smooth elective surgery scheduling — the controllable flow — so random emergency arrivals fit in the remaining capacity.

Smoothed elective surgery scheduling across the week, removing the self-inflicted spike so emergencies fit existing capacity, saving $100 million.

Clustered elective surgeries created predictable spikes on top of random ER demand, overwhelming capacity.

Smoothing the elective schedule removed the self-inflicted spike, leaving only genuine random variability.

Existing capacity then absorbed the smaller random load, avoiding nine figures in construction costs.

Separate controllable demand from random arrivals; smooth the controllable part instead of adding capacity to absorb both.

Absorbed years of admission growth without building beds; the hospital cited nine figures of avoided construction.

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The sources

  1. Spreading out elective admissions could save lives, strengthen hospitals, and reduce health spending STAT News · statnews.com
  2. Managing Variability in Healthcare Delivery National Academy of Medicine · nam.edu