Image: Pixabay
Image: Pixabay

Crowded waiting rooms, impatient patients—”this is a problem computers could solve,” brain science postdoc Gabriel Belfort realized at MIT’s 2012 Hacking Medicine event. By the end of the hackathon, Belfort and nine teammates had built a prototype for the start-up Smart Scheduling. Their concept: predict missed and cancelled appointments based on hundreds of variables, from patient demographics and past punctuality to the timing and purpose of the appointment. Office staff can efficiently target reminders—and double-book likely no-shows—thanks to Smart Scheduling’s alerts. And less wasted time for providers should lead to better appointment availability and fewer overbookings overall, which improves the patient experience.

Today the company, led by Chris Moses ’10, has attracted about half a million dollars in investment and is already serving major health systems in Maine and Massachusetts. One of those companies, Steward Medical Group, reports its doctors can see 100 more patients per week thanks to Smart Scheduling’s analysis. Smart Scheduling puts the accuracy of its predictions at 70 percent, with likely improvement stemming from access to more data.

Read more about Smart Scheduling in this week’s Boston Globe.

Smart Scheduling was profiled last year in Wired.

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