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Getting Real about Healthcare Data and the Patient’s Journey

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Manage episode 331213407 series 3348048
Content provided by IEEE Standards Association (IEEE SA). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by IEEE Standards Association (IEEE SA) or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

The time has come to unleash the value of unstructured data. Artificial Intelligence (AI) and Machine Learning (ML) afford those opportunities across the healthcare domain, however, AI and ML must be demystified and we need to embrace the value of Natural Language Processing (NLP) in daily operating systems.

Alexandra Ehrlich, Principal Health Innovation Scientist at Oracle, and our host, Maria Palombini, discuss how AI and ML hold great opportunities for healthcare, but we can't lose sight of the challenge with bias permeating throughout accessible healthcare data.

  continue reading

42 episodes

Artwork
iconShare
 
Manage episode 331213407 series 3348048
Content provided by IEEE Standards Association (IEEE SA). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by IEEE Standards Association (IEEE SA) or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

The time has come to unleash the value of unstructured data. Artificial Intelligence (AI) and Machine Learning (ML) afford those opportunities across the healthcare domain, however, AI and ML must be demystified and we need to embrace the value of Natural Language Processing (NLP) in daily operating systems.

Alexandra Ehrlich, Principal Health Innovation Scientist at Oracle, and our host, Maria Palombini, discuss how AI and ML hold great opportunities for healthcare, but we can't lose sight of the challenge with bias permeating throughout accessible healthcare data.

  continue reading

42 episodes

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