St. Elizabeth Healthcare opens cancer center with Midmark RTLS Patient Flow Optimization

October 29, 2020  –  Midmark RTLS (Dayton, OH) announced that the St. Elizabeth Cancer Center (Edgewood, KY) opened its $130 million state-of-the-art oncology facility using Midmark RTLS to streamline the patient visit and enhance care team collaboration.

Projected to serve about 500 patients each day, the 250,000 square-foot, six-story facility brings all of St. Elizabeth’s cancer treatments into one place.

The cancer center has been intentionally designed to provide a leading care experience for patients, using Midmark RTLS to streamline patient flow. Patients, providers and staff wear lightweight locator badges that automatically update the Patient Flow Optimization software, giving staff a bird’s-eye view of where patients are, how long they’ve been waiting, who has seen them, and who needs to see them next.

In addition to real-time patient flow optimization, the system captures historical data. Using Midmark RTLS reports, administrators can assess data insights on patient wait times, room utilization and more. St. Elizabeth plans to use this data to continually monitor the patient experience and make data-driven process improvements.

“By knowing where everyone is, and who they interacted with, RTLS can be used for contact tracing, so anyone who comes within six feet of a locator badge can be identified,” says Dr. Doug Flora, executive medical director of St. Elizabeth Oncology Services Flora. “And it lets us identify operational problems. If there is a bottleneck that might slow down our day, we can address it so that everyone stays on schedule.”

St. Elizabeth also uses RTLS to automate notification of chemotherapy delivery to patient rooms. When a pharmacy technician wearing an RTLS badge arrives in the patient room, their presence triggers a visual cue that notifies the infusion nurses that the medication arrived, and the nurse can begin the infusion. This and other real-time indicators help staff proactively reduce patient wait times and support more efficient flow of care.

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