the problem we solveIn the world of federal healthcare grants like the Ryan White HIV/AIDS Program, one thing is clear: if your data isn’t accepted, you don’t get paid.
Every day, agencies must upload accurate, complete client and service-level data to state systems. If even one element is rejected, it stalls your entire invoice. Staff attrition only compounds the risk — institutional knowledge is lost and training costs spike.
Manual reconciliation can’t keep up. Errors pile up. Backlogs mount. Invoicing stalls. And with it, critical funding is delayed.
Our Solution
Full Visibility
RWDE The Easiest Way to Get Paid, Accurately and On Time.
Error Tracking & Auto-Correction
Dashboards for trends, staff performance and invoice-readiness.
Daily Uploads + Weekly Reconciliation
Fixed Monthly Fee
Programming & development
how it worksAll Behind the Scenes. All Handled for You.
01
Extract data from your EHR
02
Match & structure it to HIV Registry format
03
Identify, tag and fix drops
04
Generate and submit clean XML
05
Upload to State System
06
Track performance, compliance and readiness in real time
why it worksDesigned to Catch Errors Before They Cost You.
It’s the most predictable, most painless and fastest way to accelerate Ryan White invoicing. Our clients have reduced invoicing delays by 40–60% within the first 60 days.
Automation for uploads, reconciliation, cleansing
Error prediction models for early triaging
No manual entry without validation
Role-based access and dashboards for user accountability
key differentiatorsThis isn’t Software. It’s Revenue Assurance in Motion.
This isn’t a plug-in. It’s a dedicated platform built from deep operational intelligence.
01
First-to-Market
Only purpose-built managed service for Ryan White Data Exchange
02
Built for Grant Realities
Tailored to EHR + HIV Registry systems
03
Proven Playbooks
Systems designed based on thousands of uploads and reconciliations
04
Fully Predictable
Daily error triage + drop tracking + trend forecasting
Platform Benefits
Accelerated Invoicing: Cash cycle improved by 30–60%
Zero Drop Tolerance: 100% reconciliation of data elements