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128 | How Better Data Interoperability Can Improve Care Delivered To Patients

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Content provided by On the Evidence. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by On the Evidence 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://ro.player.fm/legal.
The latest episode of Mathematica’s On the Evidence podcast focuses on the potential for health data interoperability to improve people’s health and well-being. Improved data interoperability is part of a broader push in the public and private sectors to use digital technology to make greater volumes of data available faster, at lower cost, and in higher-quality formats. These advances would make data easier to access, especially when needed to prevent or address urgent problems. In health care, the digital transformation in data could keep people healthier by improving the speed and quality of care patients receive. The episode features a discussion that originally aired as a webinar hosted by Mathematica’s Health Data Innovation Lab, which examined strategies and tools for achieving greater data interoperability. During the webinar, Mathematica’s Steve Linthicum moderated a conversation between Dr. Abel Kho of the Institute for Artificial Intelligence in Medicine at Northwestern University, Steven Gruner of HealthWare Systems, and Nicholai Mitchko of InterSystems. A full transcript of the episode is available at https://www.mathematica.org/blogs/how-health-data-interoperability-can-improve-patient-care Learn more about Mathematica’s Health Data Innovation Lab: https://www.mathematica.org/sites/health-data-innovation-lab Watch the previous webinar hosted by Mathematica’s Health Data Innovation Lab on data governance: https://www.mathematica.org/blogs/event-takeaways-using-data-governance-to-improve-health-outcomes Watch the previous webinar hosted by Mathematica’s Health Data Innovation Lab on artificial intelligence: https://www.mathematica.org/news/health-ai-event-recap-its-all-about-the-data
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153 episoade

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Content provided by On the Evidence. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by On the Evidence 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://ro.player.fm/legal.
The latest episode of Mathematica’s On the Evidence podcast focuses on the potential for health data interoperability to improve people’s health and well-being. Improved data interoperability is part of a broader push in the public and private sectors to use digital technology to make greater volumes of data available faster, at lower cost, and in higher-quality formats. These advances would make data easier to access, especially when needed to prevent or address urgent problems. In health care, the digital transformation in data could keep people healthier by improving the speed and quality of care patients receive. The episode features a discussion that originally aired as a webinar hosted by Mathematica’s Health Data Innovation Lab, which examined strategies and tools for achieving greater data interoperability. During the webinar, Mathematica’s Steve Linthicum moderated a conversation between Dr. Abel Kho of the Institute for Artificial Intelligence in Medicine at Northwestern University, Steven Gruner of HealthWare Systems, and Nicholai Mitchko of InterSystems. A full transcript of the episode is available at https://www.mathematica.org/blogs/how-health-data-interoperability-can-improve-patient-care Learn more about Mathematica’s Health Data Innovation Lab: https://www.mathematica.org/sites/health-data-innovation-lab Watch the previous webinar hosted by Mathematica’s Health Data Innovation Lab on data governance: https://www.mathematica.org/blogs/event-takeaways-using-data-governance-to-improve-health-outcomes Watch the previous webinar hosted by Mathematica’s Health Data Innovation Lab on artificial intelligence: https://www.mathematica.org/news/health-ai-event-recap-its-all-about-the-data
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153 episoade

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