OPSTIFY™ engineered an end-to-end proof of concept demonstrating how multi-modal document intelligence, governed enterprise data, and Generative AI can transform fragmented veterinary records and invoices into structured claims intelligence and actionable preventative-care insights.
Submission to Resolution via Straight-Through-Processing (STP)
Personalized Preventative care insights
Reduce Claims Cost & Create Capacity
Pet insurance claims depend heavily on complex, unstandardized veterinary records, invoices, clinical notes, medications, and diagnostic information that are difficult to process consistently at scale.
The opportunity extended beyond document extraction.
The POC needed to demonstrate whether fragmented clinical information could be transformed into governed, forward-looking preventative-care opportunities.
Provider-specific terminology, inconsistent diagnosis and procedure descriptions, medication naming, line-item billing structures, missing metadata, and longitudinal clinical history had to be interpreted and normalized into a governed data foundation that insurance workflows and AI could reliably consume.
Engineered a multi-stage pipeline to extract and structure relevant information from heterogeneous veterinary records, invoices, and document images.
Mapped extracted information into standardized enterprise structures, resolving terminology, relationships, definitions, and source-document variation.
Turned complex information directly explorable by leveraging cnversational AI to ask clinical and claims information using natural language.
Demonstrated how longitudinal clinical information could support contextual preventative-care recommendations and potential downstream workflow triggers.
From unstructured veterinary documents to structured, validated data capable of supporting automated claims workflows with accuracy.
Normalized fragmented diagnoses, procedures, medications, invoices, and clinical history.
Demonstrated how longitudinal clinical history could identify preventative-care opportunities and generate contextual recommendations for policyholders.
Connected document ingestion, semantic standardization, governed enterprise data, conversational AI, and actionable intelligence within one integrated architecture.
Veterinary records arrive across providers with different document formats, terminology, billing structures, medications, diagnoses, procedures, and levels of clinical detai, without the consistent coding and grouper structures available across much of human healthcare.
Turn unstructured records, forms, invoices, notes, and other document-intensive workflows into governed data, actionable intelligence, and opportunities for automation. enterprise intelligence.
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