On average, patient no-shows cost the U.S Healthcare system more than $150 billion a year.
In a recent article published in the Journal of the American Medical Informatics Association, informaticians explore the development of risk scores for a patient not showing up for an appointment at an outpatient clinic.
What did they discover? Risk factors had differing levels of predictability across a diverse group of specialties but implementing specific modeling strategies would lead to catching an additional 4,819 patient no-shows a year.
Why informatics? So, we can use data from EHRs to determine patient no-shows.
