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Increase ROI Through AI: Unlocking Scarce Capacity

Speakers

Sanjeev Agrawal (NEW)
Sanjeev Agrawal, MS
Chief Operating Officer & President LeanTaaS

Summary

The foundational math of capacity management, matching supply with demand, is broken. Existing tools and processes need to be fundamentally revamped for health systems to overcome waves of COVID-19 and similar shocks in the future, to maximize use of their assets, creating value for patients and themselves. The key is deploying proven and scalable AI-driven, intelligent, virtual, and distributed systems and creating a culture of innovation in the organization that embraces change. The results? 90% confidence in critical inpatient bed capacity management, 8% decrease in opportunity days (difference between Med/Surg LOS & CMS LOS), $500k more revenue per OR per year, less chaos, less burnout, and less provider alarm fatigue.

Results

Understand the limitations of existing tools and processes for capacity management in healthcare.
Learn about the benefits of implementing AI-driven, intelligent, virtual, and distributed systems for capacity management.
Discover strategies for creating a culture of innovation in healthcare organizations that embraces change.
Explore the potential results of deploying innovative capacity management systems, such as improved critical inpatient bed capacity management, decreased opportunity days, increased revenue per OR, and reduced chaos, burnout, and provider alarm fatigue.

Related resources

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