Missed appointments waste scarce capacity, but a “high-risk patient” label is not a solution. The question is whether a clinic can offer support that makes attendance easier without unfairly treating some people.
A reminder reduces missed visits for some patients but not for those who need assistance rescheduling. The team should test a different intervention for that group, not just send more messages. Predictions are only as useful as the support that follows them.
Understand the causes
Look at lead time, time of day, reminder delivery, transport barriers, prior rescheduling and specialty. A past missed visit may reflect an obstacle the clinic can change. Check whether historical data underrepresents people who could not access care in the first place.
A prediction may reflect historic access barriers. If patients from one area have more missed appointments because transport is unreliable, sending them more reminders may not solve the problem. The team might need different scheduling or support options. Assess whether an intervention actually reduces the barrier and whether its benefits reach the people who need it.
Design a supportive intervention
Options include clearer directions, confirmation, easy rescheduling or a phone call from an appropriate team. Do not use a prediction as a reason to withdraw access. Define consent and communication preferences.
Evaluate fairly
Measure attended visits, successful rescheduling, staff effort and differences across patient groups. Have clinical and operational leaders review the workflow and privacy implications. A model is useful only if it leads to a better, fairer appointment process.
