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Secure, smart, and seamless—Frandzzo automates clinical workflows with precision

Manual prescription writing and clinical documentation often consume valuable time that healthcare providers could otherwise devote to patient care. At Frandzzo, we leverage AI-powered natural language processing (NLP) and intelligent medical coding systems to fully automate the generation of e-prescriptions and clinical documentation in real time.

Our solution integrates directly with Electronic Health Records (EHR) and IoT-enabled diagnostic devices to auto-capture vital signs, lab results, and treatment recommendations. Using TinyML models deployed on secure medical tablets and workstations, data is processed locally, reducing the risk of data breaches while ensuring fast and accurate documentation without external server dependencies.

Integrated with IoT-enabled hospital infrastructure, our system can automatically retrieve supporting patient vitals, diagnosis codes, and procedure data from connected devices and EHRs—ensuring seamless data flow and reducing claim rejections due to missing or mismatched inputs.

With federated learning, our AI models continue to learn from anonymized clinical data across multiple hospitals—improving diagnostic accuracy and prescription recommendations—while maintaining stringent privacy-by-design principles. Automated e-prescriptions are instantly validated against medical standards and drug interaction databases, ensuring safer and error-free treatment plans.

Through Frandzzo’s real-time clinical documentation platform, clinicians can generate discharge summaries, SOAP notes, and medical reports within seconds, improving operational efficiency and reducing repetitive paperwork. By blending AI automation, strong cybersecurity protocols, and healthcare-specific compliance, we enable hospitals and clinics to deliver smarter, faster, and safer care.

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