Case Study

HiltHealth.com

AI patient pre screening platform for walk in clinics. Conversational intake on tablets replaces clipboards, giving doctors full symptom summaries before appointments.

Next.jsTypeScriptPostgreSQLAI/LLMPHIPA CompliantEnd to End Encryption
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Results

By the Numbers

PHIPA

Compliant

30min+

Wait Time Saved

Custom

Per Specialty Protocols

The Challenge

What We Were Up Against

Replace the traditional clipboard intake process at walk in clinics with an AI conversational system that collects detailed patient symptoms, respects PHIPA healthcare privacy regulations, and delivers actionable summaries to doctors before appointments.

Our Approach

How We Built It

Next.js application with conversational AI interface deployed on clinic tablets. PostgreSQL for encrypted patient data storage with PHIPA compliant architecture. Custom LLM integration for natural language symptom collection with specialty specific screening protocols. Doctor facing dashboard with pre appointment summaries and full conversation transcripts.

Timeline

15 weeks from concept to clinic deployment

VELD built our AI intake platform from scratch. Clinics using it have cut wait times and ditched clipboards entirely. Patients answer questions on a tablet, doctors get full summaries before walking in, and it was PHIPA compliant from day one.

HiltHealth

Founder · HiltHealth.com

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