A $52.4M cloud-native, HIPAA-compliant intelligence platform designed to connect 58 rural counties, monitor 400,000+ Medicaid beneficiaries, and eliminate $30M in annual preventable hospitalizations.
52+
Connected Rural Facilities
12%
Drop in Preventable Admissions
100%
Automated CMS Reporting
Alabama's rural healthcare system generates massive data daily, but it exists in incompatible silos. The consequences are measured in lives lost and millions wasted.
Preventable Hospitalizations per 100k
Alabama ranks 49th nationally, sitting 27% higher than the national average due to lack of early risk identification.
Annual Financial Drain
Avoidable hospitalizations cost rural facilities—many operating on negative margins—millions in wasted expenditures.
Rural Hospitals at Risk
These facilities face crippling cybersecurity threats and manual reporting bottlenecks with no unified infrastructure.
IRIP is not a siloed pilot. It is the core intelligence infrastructure that makes all 11 ARHTP initiatives measurably smarter and technically defensible.
Connects 50+ diverse EHR systems via an FHIR R4 API Gateway and translates legacy HL7 v2 messages, seamlessly syncing with the ALOHR HIE.
An ensemble of XGBoost & LightGBM models trained on Medicaid claims predicting preventable hospitalizations and maternal complications.
Lightweight React.js interfaces delivered to rural clinic endpoints, identifying care gaps and alerting providers within 60 seconds of a triggered event.
Operated through 5 regional IT hubs, providing 24/7 SIEM monitoring (Microsoft Sentinel) to protect vulnerable rural endpoints.
Transforms activity data across all ARHTP initiatives into structured quarterly CMS reports, reducing a 4-week manual process to 3 days.
The IRIP transition moves Alabama from a fragmented data state to a unified intelligence system, creating massive cost avoidance and clinical impact by Year 5.
Beneficiaries Monitored
Generating real-time health risk scores for nearly half a million rural Medicaid recipients.
Reduction in Admits
Dropping preventable hospitalization rates from 3,387 to under 3,000 per 100,000.
Annual Savings
Value of avoided expenditures through proactive intervention and reduced emergency transfers.
Reporting Automation
Eliminating manual data entry, cutting CMS reporting time from 4 weeks to 3 days.
Proposed by William A. Green Consulting (Montgomery, Alabama). With 28 years of Oracle EBS/Fusion enterprise implementation experience, the firm specializes in SOX-compliant data operations and agentic AI workflows.
Led by William A. Green, Jr.—U.S. Marine Corps Veteran, former Montgomery City Councilman, and founding board member of LEAD Academy. This is an Alabama-built solution for an Alabama crisis.
Built-in signed audit trails for every action.
3-tier risk classification system.
The ML triage and reporting engine architecture has already been proven in the firm's Oracle AI Support Platform.
A targeted five-year investment front-loaded for foundational architecture, transitioning to a self-sustaining shared-service model by Year 5.
Platform Engineering
FHIR API gateways, ML risk models, CMS engine
Cloud Infrastructure & Licensing
FedRAMP AWS/Azure, Managed Kafka, Sentinel
Human Capital (18 FTEs)
Data Engineers, Clinical Informatics Analysts
Regional Infrastructure & Security
Physical hub buildouts, 24/7 SOC services
Academic & Tech Partnerships
UAB clinical validation, EHR integration
Security, Compliance & Audit
Penetration testing, HIPAA audits
IRIP transitions from grant-funded to self-sustaining. A tiered subscription model starting in FY2028 generates projected revenue exceeding the $1.4M operational cost, culminating in a formal handoff to the Alabama Medicaid Agency by 2031.
Status: Proposal Ready
Download Full Technical Proposal