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Transform traditional diagnostics with intelligent coding systems that analyze patient records and predict outcomes in real time

Accurate and timely diagnosis is central to quality healthcare. Yet, physicians often spend hours manually coding diseases, reviewing test reports, and ensuring compliance for insurance claims.
At Frandzzo, we streamline this entire process using AI-enabled diagnosis coding and intelligent disease detection systems—powered by deep learning and clinical natural language processing (NLP).

Our platform ingests clinical notes, lab results, prescriptions, radiology reports, and EHR entries to auto-code diagnoses and treatment pathways using standardized protocols like ICD-10 and SNOMED CT. With AI reading unstructured inputs and identifying patterns in patient symptoms, comorbidities, and lab values, our system suggests likely diagnoses and flags missing data, reducing manual effort and improving diagnostic accuracy. Frandzzo leverages AI inferencing at the edge, supported by TinyML and on-device learning, so sensitive health data never leaves the hospital’s secure environment. This enables real-time AI‑driven disease detection—especially useful in emergency triage, infectious disease screening, and chronic condition monitoring.

Through federated AI training and privacy-preserving computations, our solution maintains full compliance with global healthcare regulations, ensuring that clinicians gain powerful decision support without compromising patient trust.
AI is reshaping clinical workflows. At Frandzzo, we’re not just accelerating diagnosis—we’re enabling precision, security, and scale in how hospitals handle patient intelligence.

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