Predict Outpatient Appointment No Shows

Healthcare Operations Churn/Retention Decrease Costs Churn / Retention Executive Summary
Predict in advance which patients are likely to miss their appointments to reduce clinician downtime.
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Business Problem

Many people are guilty of having canceled a doctor’s appointment. However, although canceling an appointment does not seem too disastrous from the patient’s point of view, no shows cost outpatient health centers a staggering 14% of anticipated daily revenue (JAOA). Missed appointments trickle into lower utilization rates for not only doctors and nurses but also the overhead costs required to run outpatient centers. In addition, patients missing their appointments risk facing poorer health outcomes as they are unable to access timely care. While outpatient centers employ solutions such as calling patients ahead of time, these high touch resources investments are often not prioritized for patients with the highest risk of no shows. Low touch solutions such as automated texts are effective tools for mass reminders but do not offer necessary personalization for patients at the highest risk of no shows.

Intelligent Solution

AI enables your practice management staff to predict in advance which patients are likely to miss their appointments. By learning from historical data to uncover patterns related to no shows, AI also provides your outpatient staff members with the top reasons why patients are likely to miss their appointments. These predictions and their explanations help your staff understand how various factors, such as a patient’s distance from a clinic and the days they needed to wait for their appointments, influence their risk of no shows. Based on these predictions and insights, outpatient staff members can focus their outreach on patients with the highest risk of no shows and offer them with solutions such as rescheduling their appointments or providing them with transportation.

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