Providers hoping to move "closer to the premium dollar" will need to develop disease management capabilities. While many tools exist across the care spectrum for modeling disease progression, home-based care is still relatively early in the learning curve related to predictive technology powered by machine learning (ML). The dialogue for this roundtable will revolve around questions such as:
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How important will predictive capabilities for disease progression be in the future of hospice and home health?
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What are the relative strengths and capabilities of incumbent predictive tools?
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How will providers monetize their investments in predictive technology?
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Do you only need to model disease progression if you are taking risk?
