Without proper data interoperability, there is no useful AI or machine learning in healthcare. Full stop. However, having the proper data foundation involves more than just simply connecting to the data. It must also be consumable, maintained, and enabled for success.
In this episode of Diagnosing Healthtech, Jeff Englander sits down with Trip Hofer, CEO of Redox and Venture Partner at .406 Ventures, to talk about the importance of data interoperability and why it’s so crucial to the future of healthcare.
In this episode, we discuss:
- The importance of data exchange in containing costs, improving patient care, and enabling value-based care
- Specific healthcare data challenges, including prior authorization and the integration of AI and machine learning applications into healthcare workflows
- Why having high-quality healthcare data is a prerequisite for AI applications and predictive analytics
- The growing concern around data security in healthcare and its potential impact on innovation
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