Learn how machine learning can power innovation in assisted living. In this talk, we’ll share examples of how community data can be used to optimize operations, power personalized pricing, and automatically track resident conditions changes. In this talk, we merge technical insights and industry expertise to clarify the opportunities that await communities that are ready to improve care quality and more accurately capture and invoice resident care costs. Starting with a machine learning primer and moving to topics of strategic importance to assisted living communities, we share examples of condition change detection and personalized pricing in action using real assisted living community data.
Learning Objectives:
Summarize the differences and relationships between artificial intelligence and machine learning.
Distinguish hype versus reality including practical applications of machine learning in senior care settings.
Describe common misconceptions about machine learning and artificial intelligence in healthcare.
Identify the potential benefits of artificial intelligence to enhance clinicians’ and direct care staff capabilities.
Define the necessary foundational elements required to take advantage of artificial intelligence and machine learning technology to improve quality of care.
Evaluate your community’s readiness to take advantage of personalized pricing technology.
