Hospital & Healthcare Management June 21, 2022
Content Team

A machine learning technology created by Boston Children’s Hospital and Yonsei University predicts no-shows in paediatric medical appointments. The researchers developed a model that identified 83% of no-shows at the time of scheduling by using a data interpolation technique for patients with incomplete details in their records, constructing an easy-to-interpret methodology that illustrates how a prediction is formed, and utilising local meteorological information.

In a post published last week ending June 18, the team noted the no-show prediction algorithm may possibly be instructive when selecting effective actions to reduce no-shows.


As the researchers noted, no-show; when a patient makes an appointment but fails to show up can have a negative impact on patient health and hospital and clinic resource consumption. When a patient doesn’t...

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Topics: AI (Artificial Intelligence), Health System / Hospital, Patient / Consumer, Provider, Technology
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