Mastering Hospital Resource & Medical Device Allocation with AI & Agents

You've already decided agentic AI is worth exploring. Now comes the hard part: which problem gets solved first.

Demand forecasting could prevent the bed shortages projected to hit 85% occupancy by 2032. Device tracking matters when hospitals deploy 10-15 connected devices per bed but struggle with real-time visibility. Staff optimization needs to address the reality that hospitals lost 16% of staffed beds since the pandemic, dropping from 802,000 to 674,000 beds.

But you can't do everything at once. Your IT team wants to know how this integrates with legacy EHRs. Your CFO wants ROI timelines. Your clinical staff needs proof this won't add to their workload.

This ebook breaks down which use cases deliver and which ones stall—so you can prioritize what actually moves the needle.

What's inside:

• Five use cases with documented traction: predictive demand forecasting, real-time resource optimization, patient flow management, device utilization tracking, compliance automation
• The Polestar Analytics framework—evaluate quick wins versus strategic investments using the Business Impact-Implementation Matrix.
• Real-time resource optimization case study: implementation approach and measurable outcomes from a major hospital deployment
• What separates successful pilots from stalled projects.

Ready to figure out where to start and how to execute?