Physiotherapy clinics lose revenue from no-shows, late cancellations, and patients who quietly stop booking before completing treatment plans, with no proactive awareness to intervene early.

Existing practice management systems track appointments but lack predictive analytics to flag patients at risk of no-show or attrition, requiring manual monitoring.

Opp. Score

Severity

4High

Willingness to Pay

implied

Added

May 28, 2026

Implied Software Gaps

Predictive analytics for patient no-show and attrition, integrated with practice management systems, with daily prioritized actions for front desk

App Concept

Preavi Retention & Attendance

Preavi connects to existing practice management systems like Jane App or Cliniko and uses behavioral analytics to predict no-shows, late cancellations, and patient drop-off. It provides a daily prioritized action list for front desk staff, enabling proactive intervention before revenue loss occurs.

Key Features

Risk-scored appointment table flagging no-shows and late cancellations
Patient retention dashboard showing engagement levels and drop-off risk
Daily prioritized action list for front desk
Natural language query to explore any patient's history and recommendations

Target Users: Physiotherapy clinic owners and front desk staff at small to mid-sized clinics (2-20 providers)

Revenue Model: $99/month per clinic subscription with a 14-day free trial

Existing Solutions Mentioned

Jane AppClinikoWebPT

Part of App Idea

High patient no-show rate (60-70%) persists despite overbooking and confirmation calls.

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