Swoop, a consumer health data company, is launching a first of its kind algorithm that’s designed to predict treatment adherence in people with multiple sclerosis (MS) or other conditions.
The aim of the new algorithm — which is based on artificial intelligence (AI) and machine learning (ML) strategies that use real-world data from more than 300 million patients — is to identify those individuals who are more likely to fail to maintain treatment adherence.
Specifically, the algorithm will predict the likelihood of patients stopping their medication or therapeutic regimen within the next 30 days. That would enable pharmaceutical companies and healthcare providers to timely engage with patients with a particular condition to prevent them from stopping their medication.
