Most health systems build seasonality into their financial forecasts. Fewer build it into their actual staffing strategy, which means the same predictable volume swings show up every year as a scramble instead of a plan.

Seasonality Is Predictable, So Treat It That Way

Volume patterns tied to season, whether it’s respiratory illness in winter, behavioral health dips in summer, or elective procedure surges after benefit years reset, repeat on a knowable cycle. Yet many staffing plans are built around an annual average rather than the actual month-to-month curve, which guarantees being understaffed in peak periods and overstaffed in slow ones.

Why This Gets Missed in Planning

Finance teams often model seasonality well for revenue purposes but the operational side of staffing doesn’t always inherit that same forecast. The result is a budget that accounts for seasonal swings on paper while the actual shift coverage plan treats every month the same until a crunch hits.

Building a Workforce Plan Around the Curve

A flexible internal float pool is particularly well suited to seasonal patterns, since it lets you mobilize more of your own credentialed staff during predictable peaks without carrying that staffing level year-round. Pairing that with a credentialed external bench for the sharpest peaks means you’re not paying for standing capacity you only need part of the year.

Using Last Year’s Pattern to Plan This Year

The data to do this well is usually already sitting in your scheduling and staffing history. Mapping the actual shift-fill difficulty by month over the past year or two gives a much more accurate staffing curve to plan against than an annual average, and it turns next year’s peak season from a surprise into an anticipated event.

CTA: Build a staffing plan around your actual seasonal curve. Book a demo.