Characterizing High-Needs High-Cost Patients with Segmentation

Explore a 28-minute conference talk on characterizing high-needs high-cost patients using segmentation techniques. Delve into the uneven distribution of healthcare utilization, where 5% of patients consume up to 50% of resources. Learn about the challenges in properly characterizing this patient group and why standard methods fall short. Discover how unsupervised learning is being applied at Västra Götalandsregionen to detect and understand these complex patients with multiple chronic conditions. Gain insights into early findings and lessons learned from introducing advanced analytics in a healthcare setting more accustomed to traditional reporting and statistics. Benefit from Dr. Juulia Suvilehto's extensive experience in data analytics for life sciences as she bridges the gap between clinical and technical expertise to advance AI in clinical settings. Recorded at the 2024 GAIA Conference, this talk offers valuable perspectives on improving healthcare resource allocation and patient care through innovative data analysis techniques.

Characterizing High-Needs High-Cost Patients with Segmentation by Juulia Suvilehto