Case Study
Automating State Reporting for a NextGen Behavioral Health Organization
How Xpio built an automated state reporting pipeline that replaced manual HL7 compilation with a NextGen-integrated, AI-assisted submission system. Zero manual submissions. Every error caught before it reaches the state.
- Validation rules
- 70+
- Submission format
- HL7 v2.8
- ADT message types
- 4
- Manual submissions
- Zero
Pryzma State Reporting Engine, representative dashboard with fictional data
The Challenge
Manual state reporting doesn't scale.
Staff manually compiling patient data from NextGen, formatting HL7 messages by hand, and submitting to the state agency
Validation errors discovered only after submission, triggering rejection cycles that took weeks to resolve
No visibility into what passed, what failed, or why. Data quality issues were invisible until the state flagged them.
State reporting requirements changing regularly, with no systematic way to update rules across the pipeline
Clinical staff spending hours on data entry corrections that could have been caught before submission
What Xpio Built
NextGen to state agency. Fully automated.
NextGen OAuth2 Integration
Built a direct API integration with NextGen EHR. NextGen pushes patient records to Pryzma via OAuth2 authenticated endpoints. No manual data extraction. No CSV exports. No copy-paste.
70+ Pre-Submission Validation Rules
Every record passes through 70+ database-driven validation rules specific to the state agency before submission. Code table validation against 24 tables with 226+ permitted values. Errors caught before they become rejections.
AI-Powered Fix Instructions
When validation catches an error, Claude generates plain-language fix instructions specific to NextGen. Staff see exactly what field to change, where to find it in the EHR, and what the correct value should be.
Automated HL7 v2.8 Generation
Pryzma builds compliant HL7 v2.8 ADT messages (A01, A03, A05, A08) from the validated data. MSH, EVN, PID, PV1, ZAA, DG1, IN1 segments generated automatically with correct field mappings.
Error Push-Back to NextGen
Validation errors push back to the NextGen clinician worklist automatically. Staff fix the data in their EHR, and the corrected record flows through the pipeline in the next batch. No resubmission needed.
Full Transparency Pipeline
Every step visible: Extract, Validate, Transform, Load. Pre-flight mode runs the entire pipeline without submitting, so staff can review and fix before records reach the state.
Under the Hood
How the data flows.
Results
From manual to automated.
Zero
Manual submissions. The pipeline handles everything from extraction to state delivery.
70+
Validation rules catching errors before they become state rejections.
Minutes
From EHR data entry to validated, submitted HL7 message. Was days.
AI-Powered
Fix instructions in plain language. Staff fix once in NextGen, never resubmit manually.
Scheduled
Daily pre-flight and production runs. Automatic, auditable, unattended.
Multi-State
Architecture supports multiple customers, states, and agencies from one platform.
Need automated state reporting?
NextGen, CareLogic, Credible, or any EHR. We build the pipeline, validate the data, and manage the rejections.
Talk to Our Team