Managing patient flow is a growing and complex challenge for hospitals and healthcare systems of all sizes. Poor patient flow planning creates waits and delays that frustrate patients and practitioners alike, diminishes the quality of care, wastes medical resources, and costs hospitals money.
Typically, the problem isn’t that hospitals lack enough beds or adequate data. Rather, the challenge is their inability to aggregate the data from various IT systems and turn that data into information that clinicians can use to manage the number and flow of patients – expected and unexpected – on any given day.
In this whitepaper, you will learn how analytics, machine learning, and simulation technology can be used to better manage the underlying operations of patient flow.