They've hired a full-time IT employee to analyze the data, breaking it down in many ways, such as by patient age and gender, service line, and other variables. Having someone analyze and interpret the data is important because just looking at raw data can sometimes lead to the wrong conclusions.
For instance, on the surface, it looked like nurses weren't doing hourly rounding on joint replacement patients. But a closer look shows that those patients went for group rehab for a couple of hours during the middle of the day.
"When you go down these kinds of roads, you have to understand your data before you report it out," Toor says. With that in mind, the nurse leadership brings the analyzed data to staff meetings quarterly, and the analyst meets regularly with nurse managers.
Toor and Simmons say that now, the program is well-accepted, and nurses often forget that they're wearing the tags. "They really do like it," Toor says. "They know that it can help them,"