AI for managing chronic disease
Developed by AI and technology-enabled healthcare company Catasys, Catasys PRE (Predict-Recommend-Engage) is intended to help overcome limitations associated with healthcare data, as Terren Peizer, Catasys Chairman and CEO, explains: “The data from healthcare delivery is complex, rarely interoperable and therefore underused. Using the latest techniques in AI and over a decade of research, Catasys has solved these challenges by creating what we believe to be the most valuable technology platform for populations that are care avoidant or not engaging in care.
“We can now predictively and rapidly identify care avoidant individuals with major chronic disease and those for whom targeted interventions will improve outcomes and reduce the cost of care. This breakthrough approach to AI-based management of multi-source healthcare delivery data gives us the ability to achieve in minutes what typically takes months of manual work by highly trained healthcare data scientists. Catasys health plan partners have encouraged us to make these new AI capabilities available as soon as possible.”
Catasys PRE automates healthcare delivery data integration and organisation using machine intelligence, which reduces the time and cost of delivering analytic insight required to: predict (identify individuals for whom behavioural or medical intervention could help); recommend (generate care pathways that harness the intersection between what is effective, evidence-based care and what individuals are willing to do); and engage (build trust and positive change using sophisticated techniques and tools that encourage mental and physical behavior change, reduce costs and improve outcomes).