In Wisconsin, weather can change quickly and dramatically. Wisconsinites have learned how to plan for that variability. In fact, one local news station used to have a segment of their weather report dedicated to providing insights into how to dress your children for school the next day.perbandingan smartphone
I0f you’re planning a trip to Wisconsin to enjoy the start of Fall, you need access to some specific data. For example, the fact that the average annual temperature in Milwaukee is 48 degrees is not very helpful if you’re deciding whether you need to bring shorts and light jacket or jeans and a warm coat for your visit this month. Even knowing that the average high temperature in September is 73 degrees and the average low is 55 degrees doesn’t provide enough information to dress comfortably for this weekend’s weather. And, while it’s interesting to note that it’s been as hot as 99 degrees and as cold as 32 degrees in September, it’s not all that helpful for planning for your vacation.
When you’re packing for an upcoming trip, historical data and averages aren’t enough. In order to plan for the days ahead, you want a reliable weather forecast that predicts weather for the next few days.
The need for predictive data is equally important for the staffing coordinators and managers doing staffing within a health system. Imagine that instead of temperatures, the numbers in the chart reflected historical census numbers. While those averages might provide a starting point for creating a staffing plan, more data is needed to staff effectively for the next three shifts.
As staffing technology evolves to leverage more analytics, more tools are becoming available for health systems to do predictive, intelligent staffing. With algorithms that incorporate current patient care needs and historical patient trends, staffing needs can be projected more and more accurately.
In upcoming posts, I’ll share more information about intelligent staffing, including a closer look at what intelligent staffing is, what it takes to make it effective, the tangible results it delivers and the cost of being unable to use an intelligent staffing methodology.
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