12 Apr Hospital cuts costly falls by 39% due to predictive analytics
The 420-bed El Camino Hospital in California has seen a dramatic turnaround with is hospital fall rates, and advanced predictive analytics is getting a lot of the credit.
“We were having a lot of difficulty being able to get our falls under control and at the level we wanted them, to be in the top quartile in the nation. It seemed like a lot of the efforts we tried were not getting us to where we wanted to be,” said chief nursing officer Cheryl Reinking. “We had heard through different connections in Silicon Valley about this company, Qventus, that was able to do predictive analytics. They had done some work with us, in the operating room.”
Reinking helped spearhead the effort to transform the organization’s fall prevention program using prescriptive analytics to ensure patients were being proactively and optimally managed. And the successful effort involved going beyond traditional “predictive analytics” into what Reinking calls action-focused insights that allow providers to immediately respond and impact patient safety.