The achievement “represents the pinnacle of applying analytics to support patient-specific prescriptive care,” HIMSS said in a news release.
HIMSS Analytics, a subsidiary of HIMSS, created the Adoption Model for Analytics Maturity in 2016 as a framework and benchmarking system to help hospitals guide and measure their data science efforts. Similar to HIMSS Analytics’ EMR Adoption Model, the analytics model runs from Stage 0 to Stage 7 and measures the success of a hospital’s data analytics strategy. Factors considered include infrastructure, processes, technology and leadership.
One of the projects HIMSS Analytics reviewed at Rush was its effort to curb the number of patients who present at its emergency department, but leave without being seen — a key indicator of overall hospital efficiency. With a predictive model that considered demographic and utilization data in real time, the team was able to customize workflows so that clinician could intervene sooner.
The model helped lower Rush’s “left without being seen” rate from 3.83 percent to 1.25 percent.
“Data and information are the new liquid gold,” said Shafiq Rab, MD, senior vice president and CIO at Rush University Medical Center and the Rush System. “At Rush, we are using tools like artificial intelligence and machine learning to mine that gold and use it to improve outcomes for our patients and our communities.”
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