Swoop to Predict When Patients Won't Take Their Meds

Swoop, which provides healthcare audiences to the pharma and life sciences industries, has launched a solution called 'Predictive AI Adherence Targeting', allowing healthcare advertisers to predict and engage those patients who are likely to fail to take their medications appropriately.

Swoop helps pharma brands to educate patients about disease states and the therapies that could remedy their conditions, while enabling them to become active participants in their 'treatment journey'. According to the company, as many as 50% of patients with long-term chronic conditions fail to take their medications correctly.

The new Predictive AI Adherence Targeting applies ML/AI to a real-world data (RWD) universe of more than 300 million de-identified patient journeys with a ten-year lookback and 65 billion anonymized social determinants of health (SDOH) signals, to predict the likelihood of every patient on a therapy becoming non-adherent in the next 30 days.

Company President Scott Rines comments: 'Through advanced ML and AI, this breakthrough targeting allows brands to proactively intercept patients and their HCPs at one of the most critical moments in the treatment journey: just prior to a patient becoming non-adherent. This represents just the beginning of what predictive modeling can bring to healthcare marketing, allowing brands to better understand their audience, accurately target them and optimize engagement before a real-world event has even occurred'.

Web site: www.swoop.com .

All articles 2006-23 written and edited by Mel Crowther and/or Nick Thomas, 2024- by Nick Thomas, unless otherwise stated.