RHTP Program Director
“We have the funding. What we need is the data to deploy it effectively.”
Deploy $193.1M/year where it transforms outcomes
Minnesota received $193.1M/year under the Rural Health Transformation Program. RHT Compass provides the analytics layer to identify which hospitals need the most support, which communities face the greatest risk, and where funding will have the greatest impact.
The Challenge
Deploying transformational funding requires a data layer that doesn't exist out of the box
Allocation Under Scrutiny
Every dollar must be defensible. Legislators, CMS, and the public will ask why Hospital A received funding over Hospital B. You need hard data behind every decision.
145 hospitals competing for limited funds
No Single Source of Truth
Hospital financials, community health indicators, workforce shortages, and grant histories live in separate federal systems. Building a unified picture takes weeks of manual work.
6+ federal data sources to cross-reference
CMS Outcome Accountability
CMS requires quarterly progress reports demonstrating measurable improvements in access, quality, and financial stability. Baseline data must be established before funds flow.
5-year accountability window
Hospital Readiness Assessment
Which hospitals have the capacity to absorb new programs? Which are already struggling to keep the lights on? Readiness varies dramatically, and the data to assess it is scattered.
17 hospitals already running negative margins
Before & After
Defending an Allocation Decision
- Request financial data from each hospital
- Pull community health data from CDC/CHR separately
- Cross-reference HPSA designations manually
- Build custom spreadsheets for comparison
- Prepare narrative justification for leadership
- Revise when questions arise mid-review
- Ask AI to rank hospitals by financial distress + community need
- Review composite scores with source attribution
- Compare candidates side-by-side on one screen
- Export data-backed allocation rationale
CMS Quarterly Progress Report
- Collect outcome data from funded hospitals
- Aggregate community health metrics manually
- Calculate baseline vs. current performance
- Build narrative report for CMS submission
- Open statewide RHTP performance dashboard
- Review financial and access metrics at a glance
- Ask AI to summarize changes since last quarter
- Export CMS-ready report with source attribution
What You Get
Hospital Distress Rankings
Every hospital ranked by financial health — operating margins, days cash on hand, utilization trends, and payer mix. Identify which facilities need intervention most urgently.
Community Need Heat Map
87 counties scored on composite health need — mortality, preventable hospitalizations, ER visits, and social vulnerability. See where access gaps and health outcomes are worst.
AHEAD Readiness Data
Identify which hospitals are AHEAD-eligible and assess their readiness for value-based care transitions. Financial trends, capacity metrics, and community context in one view.
Grant Overlap Analysis
Map existing federal funding (HRSA, USDA, ARC, RHTP) against hospital and community need. Identify coverage gaps and avoid duplicating effort.
AI-Powered Q&A
Ask questions in plain English about any hospital, county, or program. Get data-backed answers with source attribution in seconds — no SQL, no spreadsheets.
CMS Reporting Support
Baseline and longitudinal data aligned to CMS RHTP outcome metrics. Track financial stability, access improvements, and community health changes over the 5-year program window.
Minnesota at a Glance
Questions You Can Ask
“Rank Minnesota hospitals by financial distress and community need — which ones should receive RHTP priority funding?”
“Which AHEAD-eligible hospitals in Minnesota have the weakest financial position and would benefit most from value-based care support?”
“Show me Minnesota counties with the worst health outcomes and no hospital — where are the biggest access gaps?”
See It In Action
Real AI responses and live dashboard data for Minnesota
AI Chat·AI answers: all Critical Access Hospitals in Minnesota with operating margin, occupancy rate, and performance bar chart
Dashboard·Live Superset dashboard — hospital KPIs, county health metrics, and financial stress map
Frequently Asked Questions
How current is the data?
Can this integrate with our existing state data systems?
What about state procurement requirements?
Does this support CMS RHTP reporting?
How is the AI used?
Explore Minnesota's Hospital Data
145 hospitals, 8 hospital deserts, and county-level health data across Minnesota.
View State DashboardRequest an RHTP Implementation Demo
See how RHT Compass can support your RHTP allocation decisions with interactive dashboards and AI-powered analysis.
Request a DemoSee Minnesota's RHTP Data Layer
Request a personalized demo showing hospital distress rankings, community need mapping, and allocation analytics for Minnesota.