XPndAI develops HIPAA-compliant AI Medical Record Analyzers — using intelligent OCR and clinical LLMs to extract, structure, and summarize lab reports, clinical notes, discharge summaries, and EHR records with 99%+ accuracy.
Proprietary vision-language pipelines that accurately digitize messy scanned lab reports, handwritten prescriptions, and multi-page EHRs.
Automatic comparison of test values against reference ranges, highlighting critical out-of-range clinical markers for doctor review.
Dual-mode output generating concise clinical digests for physicians alongside patient-friendly explanations in multiple languages.
Built strictly to FHIR / HL7 data standards with automated de-identification, PHI redaction, and enterprise audit trails.
Track biometric and diagnostic biomarker trends over years of visits, providing visual disease progression charts.
Seamless API integration with Epic, Cerner, AthenaHealth, and proprietary hospital information management systems (HIMS).
Deployed an AI record analyzer across 12 diagnostic clinics that reduced patient intake chart preparation time by 80%.
Engineered an AI document parser that screened 40,000+ unstructured medical PDFs against trial inclusion criteria in under 3 hours.
Speak directly with our senior AI architects. We will evaluate your data models, workflow requirements, and deliver a clear technical implementation roadmap.