How leading health systems are transforming patient flow with AI-powered innovation
Optimizing patient flow and staffing is challenging — patient needs vary, demand fluctuates and resources are constrained and hard to predict. As a result, hospitals are often in a reactive state, forced to resolve bottlenecks and patient flow issues as they arise.
Front-line teams are the ones that are forced to carry the burden by pulling off daily heroics to address the ever-changing demands, only to repeat the cycle again the next day. But health systems around the nation are breaking out of this cycle with AI-powered innovation that improves nursing coverage, patient access and EBITDA.
This whitepaper contains a number of real-world case studies, including:
Front-line teams are the ones that are forced to carry the burden by pulling off daily heroics to address the ever-changing demands, only to repeat the cycle again the next day. But health systems around the nation are breaking out of this cycle with AI-powered innovation that improves nursing coverage, patient access and EBITDA.
This whitepaper contains a number of real-world case studies, including:
- How UCHealth (Aurora, Colo.) decreased overall time to admit by 16%
- How a leading Florida health system reduced average length-of-stay by 13 hours
- Hendrick Health system reduced order to discharge time by 22% and ED boarding Time by 49%
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