How to Predict Patient Attendance Reliably and Engage Automatically

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How to Predict Patient Attendance Reliably and Engage Automatically

A recent study in 2021 found that the no-show rate for in-office visits was 36.1% and the pre-pandemic in-office no-show rate was 29.8%. The no-show problem doesn’t seem to be going away and may in fact be getting worse for in-office visits post-pandemic. This problem is not sustainable considering that 1 in 4 or 1 in 3 scheduled patients never show up. For every 3 to 4 months worth of appointments, an entire month of productivity is being lost

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What You Will Find Inside

No-shows don’t just affect the bottom line, they impact outcomes. This guide will walk you through the monetary and patient health impacts. You will be able to review no-show rates by specialty and be given access to a sophisticated ROI calculator to gain insights specific to your own organization.

Mend’s A.I. algorithm predicts patient attendance and then modifies engagements automatically with patients based on risk to secure confirmations, reschedules, or cancellations. 

This guide will also address ethical AI concerns in great detail. You will also review accuracy rates and be given significant detail on how patient engagement is used to make your schedule real again.

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