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Case study · From the Pluris libraryReceipt no. 3148
What sucked

Medical staff spent excessive time on repetitive patient education about procedures like cataract surgery.

Information needs varied across practices, and any production deployment had to meet HIPAA requirements.

Healthcare & Life SciencesCustomer Service
What they built

PressW built Sophia, an AI conversational chatbot tailored to ophthalmology practices, with a NextJS front end, OpenAI Whisper for speech-to-text, Eleven Labs for speech synthesis and ChatGPT fine-tuned to each practice's tone and procedures, running on a secure Google Cloud, Firebase and Pinecone architecture built for HIPAA compliance and per-practice data separation.

What changed
400+ Hours/Month Saved (Projected)

Estimated savings of over 400 hours of combined patient-education time per month in a single practice.

HIPAA-Conscious, Multi-Practice

Secure cloud architecture keeps data separated across practices for compliant deployment.

Text and Voice Patient Education

Whisper speech-to-text and Eleven Labs voice let patients interact by text or voice.

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Who did it
Bryson Greenwood
Founder & Head of AI, PressW

Vetted by Pluris.