Every workflow below is a daily manual burden costing your organization real money. We automate each one.
AI medical record review system for California QME physicians. Classifies 2,000+ page files, builds source-cited chronology, generates draft sections. Physician finalises all clinical decisions.
QME Software California →AI reads clinical documentation, identifies payer-specific criteria, fills PA forms, submits to payers via X12 278 or portal, tracks status, and flags exceptions for staff review.
Ambient AI scribe listens to physician-patient encounters and generates structured clinical notes for EHR — reducing documentation time from 20 minutes to under 5 minutes per visit.
HL7 v2 interfaces and FHIR R4/R5 APIs connecting Epic, Cerner/Oracle Health, athenahealth, eClinicalWorks, and NextGen with your custom AI systems, third-party tools, and analytics.
HL7 & FHIR Services →AI claims scrubbing, denial management, coding assistance, remittance processing (X12 835), and cash application — reducing days in AR and manual billing staff overhead.
Extract structured data from insurance EOBs, clinical records, lab reports, discharge summaries, and referral letters — feeding downstream EHR, billing, and analytics systems automatically.
Document AI →Healthcare AI in California must comply with HIPAA, the California Medical Information Act (CMIA), and California Consumer Privacy Act (CPRA) for health data. XPndAI builds with all three in mind.
A US-based healthcare AI team costs $150K–$300K/year per engineer. XPndAI delivers the same technical capability for a fraction of that — saving $80K–$200K per project without sacrificing quality.
Fixed-price projects in USD. You own the source code. No recurring license fees.
XPndAI builds custom HIPAA-compliant healthcare AI: QME medical record review AI, prior authorization automation, ambient clinical documentation AI, EHR integration (Epic, Cerner, athenahealth), revenue cycle automation, and healthcare document AI. All projects are custom-built, not SaaS.
XPndAI builds HIPAA-compliant software with PHI encryption (AES-256 at rest, TLS 1.3 in transit), role-based access controls, audit logging, and BAA capability. Deployment on AWS US or Azure US. We do not use client PHI to train general AI models.
Yes. XPndAI builds HL7 v2 interfaces and FHIR R4/R5 integrations with Epic, Cerner/Oracle Health, athenahealth, eClinicalWorks, NextGen, and other EHR systems. We also build SMART on FHIR apps for Epic App Orchard.
Healthcare AI development at XPndAI starts at $18K for a focused AI module (QME record review, prior auth) and $50K–$120K for a full platform. Enterprise hospital-scale systems start at $120K. All fixed-price — no hourly billing or scope creep.