Hospital CEO
PersonaHospital CEO

Find funding and improve your performance

“We're one bad flu season away from the red.”

The Challenge

Rural hospital leaders face compounding pressures with limited resources

Margin Pressure

65%+ Medicare/Medicaid payer mix with low reimbursement rates. Labor costs rising 8-12% annually while volumes remain flat.

28 hospitals with negative margins

Grant Complexity

22+ federal and state grant programs with different eligibility criteria, deadlines, and reporting requirements. No dedicated grant writer on staff.

40-60 hours per grant application

?

Data Blind Spots

Clinical EHR data doesn't integrate with financials, county health metrics, or peer benchmarks. Manual assembly is time nobody has.

4+ disconnected systems

Benchmarking Isolation

No easy way to compare performance against peer hospitals of similar size, CAH status, or region. Decisions made without context.

68 hospitals, limited peer visibility

Before & After

Real time savings, not theoretical

Board Meeting Prep

Representative Scenario
Before6-8 hours across 2 days
  • Manually pull CFO data from CMS cost reports
  • Compare financials in spreadsheets
  • Google grant requirements and eligibility
  • Make phone calls to gather missing data
  • Build presentation manually
After45 minutes
  • Open hospital scorecard with live financials
  • Ask AI about grant eligibility and deadlines
  • Compare against CAH peers instantly
  • Export board-ready PDF

Grant Application

Representative Scenario
Before40-60 hours + $5-10K consulting
  • 30-page template with complex requirements
  • 2 weeks gathering data from multiple systems
  • Manual narrative drafting and data entry
  • Outside consultant for competitive analysis
After15-20 hours, no outside help
  • AI assembles your hospital's data profile automatically
  • Dashboard provides competitive positioning data
  • Pre-matched eligibility saves research time

What You Get

Operational Intelligence

Single-pane-of-glass dashboard covering financial performance, clinical operations, workforce metrics, community health indicators, and peer benchmarking — all queryable by AI.

AHEAD Readiness & Budget Modeling

CMS is replacing fee-for-service with fixed global budgets. Model the revenue impact under multiple scenarios and track your readiness score.

Grant Strategy & Application Support

Auto-match your hospital against all eligible programs. Pre-assembled data packages and competitive positioning analysis cut application time by 60%.

Revenue Cycle Analytics

Identify charge capture gaps, track denial patterns, benchmark cost-to-collect, and monitor payer mix trends to protect every dollar.

Ask the AI Anything About Your Hospital

“Does [hospital name] qualify for the AHEAD model?”

What you'll get:

Eligibility analysis based on your hospital's bed count, rural classification, Medicare payer mix, and financial performance against CMS criteria.

“What is our financial need ranking and how does it compare to peer CAH hospitals?”

What you'll get:

Your hospital's need rank among all 68 Montana hospitals, with peer comparison on operating margin, days cash on hand, and occupancy.

“What grants could help fund our transition to value-based care?”

What you'll get:

Matched grant programs based on your hospital's profile, with funding amounts, deadlines, and application requirements for each eligible program.

See It In Action

Real AI responses and live dashboard data for Montana

AI Chat·AI answers: Montana hospital operating margin and occupancy rate trends, 2020–2024

Dashboard·Live Superset dashboard — hospital KPIs, county health metrics, and financial stress map

Common Questions

We can't afford another system.

The platform pays for itself on your first successful grant application. If it saves your CFO 20 hours of data assembly, that's time redirected to revenue-generating work.

My CFO already handles our data.

This makes your CFO 10x more effective. Instead of assembling data from 4+ systems, they get a unified view and AI-powered analysis in minutes.

I don't trust AI with patient data.

We don't use patient data. Every metric comes from publicly reported sources — CMS cost reports, County Health Rankings, CDC data. No PHI, ever.

We're too small for analytics.

You're exactly who this is built for. Small hospitals need data-driven decisions the most — and can least afford a dedicated analytics team.

See What Montana Data Looks Like for Your Hospital

Request a personalized demo with dashboards, AI queries, and grant matching.