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Using Predictive Analytics to Reduce No-Shows


Oct 24, 2019 4:00pm ‐ Oct 24, 2019 5:30pm


Credits: None available.

Description

Other industries have tackled scheduling problems in sophisticated ways, it is time that the health care industry follows suit – increasing patient access, building a reliable schedule for clinicians, and improving productivity. Machine Learning is a very effective tool to predict no-shows, but then you need to put the operational processes and procedures in place to take advantage of this new insight. Learn how seasoned health care executives are modifying their operations to take advantage of this new technology. Presenters will take you through the steps of Machine Learning and explain how to integrate it into your solution set.

Speaker(s):

  • Joseph Caruso, President and CEO, COMPASS Family and Community Service
  • Quentin Fisher, Chief Executive Officer, Health Care Analytics LLC
  • Jonathan Lee, LICDC, Chief Executive Officer, Signature Health Inc.

Credits

Credits: None available.

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