Case Study

HiltHealth.com

AI powered clinic platform handling patient intake in 130+ languages, post visit review collection, cross session follow ups, digital referrals, targeted patient outreach, and real time analytics.

Next.jsTypeScriptPostgreSQLAI/LLM130+ LanguagesSMSPHIPA CompliantEnd to End Encryption
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Results

By the Numbers

130+

Languages Supported

5min

Saved Per Patient

$0.75

Per Patient

The Challenge

What We Were Up Against

Build an end to end clinic platform that replaces verbal intake, collects Google reviews after visits, carries follow up instructions across sessions, sends digital referrals, enables targeted patient outreach by SMS, and gives clinics real time analytics on wait times and throughput. All PHIPA and PIPEDA compliant from day one.

Our Approach

How We Built It

Next.js application with conversational AI interface supporting 130+ languages via voice and text. QR code based patient check in with receptionist approval flow. Doctor dashboard with AI summaries, suggested differentials, full visit history, and nurse notes. Post visit automation layer for review collection, cross session follow ups, digital referrals, and SMS outreach campaigns. Real time analytics engine tracking wait times, patient volume, and throughput per doctor and location. PHIPA compliant architecture with end to end encryption and role based access controls.

Timeline

15 weeks from concept to clinic deployment

VELD built our entire clinic platform from scratch. Patients scan a QR code and talk to an AI in any language while they wait. Doctors walk in already briefed. After the visit it collects Google reviews, carries follow ups across sessions, and gives us real time analytics on everything. PHIPA compliant from day one.

HiltHealth

Founder · HiltHealth.com

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