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habitvivid.com

HabitVivid

Make patient adherence vivid and automatic

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Summary

A lightweight patient adherence platform that uses AI-powered voice/image capture via a mobile app to collect symptom and medication data. On-device inference generates structured field notes for coordinators, while a conversational IVR handles automated reminders and next-best-action prompts reduce dropout.

Target Audience

Family-owned clinical trial coordinators managing 1–10 active studies at independent sites

Economic Engine

Usage-based pricing: $5 per active patient per month, with a $200 monthly minimum per site. Includes IVR minutes and AI summarisation credits.

Point of Difference

First adherence platform built specifically for small, family-run trial sites, using on-device AI to ensure HIPAA compliance (no cloud processing of raw patient data) and a conversational IVR that works even for patients without smartphones.

Problem Statement

Family-owned clinical trial coordinators rely on paper diaries and manual check-ins to track patient adherence, leading to high dropout rates, data errors, and administrative overload. Enterprise trial platforms are too expensive and complex for small sites.

Solution

Combines a patient-facing mobile app (voice/image input, on-device AI inference) with a coordinator dashboard (AI field notes summarisation, next-best-action engine) and phone-based conversational IVR for reminders. Contract intelligence extracts sponsor requirements to auto-configure adherence triggers.

Core Value Proposition

Reduces patient dropout by 40% and data entry time by 70% without requiring expensive enterprise EDC systems, using patients' own smartphones and voice input.

Killer Features

  • Patient can say 'I feel feverish and tired'—app parses it into structured symptom log with severity.
  • Coordinator sees a 'Next Best Action' prompt: 'Patient X missed 2 doses; call now?' with one-tap dial.
  • Contract intelligence auto-reads a new study protocol and sets up adherence rules without manual config.
  • IVR conducts a daily check-in via voice call, transcribes and summarizes into the patient timeline.

Pros

  • Massive reduction in coordinator busywork—no more manual diary review.
  • Voice and image input are far easier for patients than typing, improving compliance.
  • On-device AI keeps sensitive data local, simplifying regulatory compliance.
  • IVR reaches patients without smartphones, broadening inclusion.

Cons

  • Requires patients to install an app and learn voice/image interactions—some may refuse.
  • On-device AI model may miss nuances in patient reports compared to human review.
  • Small sites may balk at even the low per-patient fee if they have very few patients.
  • Initial integration with existing EDC or IRT systems is manual, limiting data flow.

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