New AI framework personalizes supportive care for cancer survivors

The framework builds on years of survivorship research and clinical infrastructure developed at Sylvester. Through My Wellness Check, an electronic health record-integrated screening and triage program, patients routinely report symptoms, quality-of-life concerns, practical needs and other survivorship challenges before appointments.

Since expanding across the cancer center, the program has collected longitudinal patient-reported outcomes, supportive care needs and nutritional data from more than 37,000 ambulatory oncology patients.

Researchers also evaluated data from a subsample that included 25,592 of these ambulatory cancer survivors followed over 36 months to develop machine-learning models that identify patterns associated with symptom burden and unplanned health care utilization. Implementing these advanced analytic and AI-driven techniques improved predictive precision for unfavorable outcomes by over 25%. Together, those resources provide the foundation for developing more personalized supportive care strategies.

The team's current work builds on the data and infrastructure behind My Wellness Check with an AI-enabled platform called My Wellness Support.

By pairing new technology with rigorous science, researchers hope to help cancer survivors receive the support they need between appointments while establishing a model for how AI can be responsibly integrated into survivorship and supportive care.

Source:

University of Miami Miller School of Medicine

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