Jennifer D’Angelo, CIO of Bergen New Bridge Medical Center, says the center is becoming a more data-driven healthcare provider. Photography by Colin Lenton
It’s why Tiwari has built a model that analyzes up to a year’s worth of historical surgery data and compares it to scheduled elective surgeries for each of the next 30 days. It also accounts for potential last-minute emergency surgeries because VUMC, located in Nashville, Tenn., is a Level I trauma center.
Through predictive analytics, Tiwari is able to estimate daily demand for surgery to within seven cases of the actual number 80 percent of the time. Operating room managers automatically receive reports each morning that show the latest surgical caseload projections for the next 14 to 30 days, which enables them to make staffing adjustments as needed.
If the model predicts that the case- load is below expectations for a few days during the next two weeks, managers can reduce staffing levels on those days, Tiwari says.
Data Analytics Predicts Number of Daily ER Visits
Envision Physician Services, a Nashville, Tenn.-based multispecialty medical group providing care in more than 900 facilities nationwide, has built a web-based application that can accurately predict the number of expected daily emergency room visits with an accuracy rate of 80 percent to 85 percent.
The tool can also forecast what time patients are expected to arrive, what ailments they will have and what services they will need, says Dr. Kirk Jensen, Envision’s chief innovation officer.
Housed in the public cloud, the app automatically grabs patient data from the company’s billing system and physicians’ schedules from the company’s scheduling software and stores the data in a Microsoft SQL Server database. The app uses Microsoft’s Power BI software to run reports.
“Physician and operational leaders have the ability to make sure our capacity is matched against patients’ needs,” Jensen says.