Demonstrating Improved Outcomes With Data-Driven Health Analytics

Timon LeDain | Scott Plewes | December 3, 2018

AI, predictive analytics, sensors, and devices - all of these individually and together are very powerful tools in healthcare. BUT how can this ecosystem of assets be used so they truly become "smart" health tools that show improved clinical and patient outcomes - while ensuring health data privacy and security?

AI, predictive analytics, sensors, and devices – all of these individually and together are very powerful tools in healthcare. BUT how can this ecosystem of assets be used so they truly become “smart” health tools that show improved clinical and patient outcomes – while ensuring health data privacy and security?

Join Macadamian Health Data Analytics and User Experience Experts Timon LeDain and Scott Plewes to get practical tips on:

  • Identifying ‘meaningful’ data that can help prove outcomes
  • Framework to ensure the health data is accurate, while also easily consumed and understood by organizations (including your customers)
  • Critical factors on security and privacy when gathering and using patient data
  • Techniques to integrate third generation data with your patient data to drive behavioral change and improved patient outcomes

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