Can You Trust AI in Healthcare? with Dr. Noah Crampton

About the Episode

Can you trust artificial intelligence in healthcare? The challenge lies in ensuring that AI vendors have the financial motive to provide trustworthy products and services without harming patients or exacerbating existing inequities. The current regulatory framework for AI in healthcare is not designed to account for continuously learning algorithms, leading to a need for co-designing regulations with industry stakeholders. Balancing the use of patient data for innovation while respecting privacy is crucial, and approaches like federated databases and communal keys can help minimize risks.

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Objectives and Discussions

3:24 Challenges of the Current Regulatory Framework
Exploring the difficulties and limitations of existing regulations in adapting to the rapid advancement of AI in healthcare.

08:49 Balancing Innovation and Privacy in AI
Discussing the delicate balance between fostering innovation in AI and ensuring the protection of patient privacy.

12:39 Minimizing Risks with Patient Data in AI
Strategies and best practices for reducing the risks associated with the use of patient data in AI-driven healthcare systems.

17:39 Co-Designing Regulations for AI in Healthcare
How collaborative efforts between regulators, healthcare providers, and tech developers can create effective AI regulations.

27:00 The Benefits of Continuously Learning AI in Healthcare
Highlighting the advantages of AI systems that learn and improve over time, leading to better patient outcomes.

29:41 The Potential of AI Prediction and Personalized Treatment Recommendation Algorithms
Exploring how AI can revolutionize healthcare by offering personalized treatment recommendations and predictive analytics.

33:38 Reconsidering the Fundamental Operations of the Canadian Healthcare System
A discussion on how AI could prompt a reevaluation of the core processes and structures within Canada’s healthcare system.

37:44 Regulation and Innovation in AI in Healthcare
Examining the ongoing interplay between regulatory frameworks and the need for continued innovation in AI technologies.

48:48 Patients with Access to AI Tools vs. Those Without
Comparing the outcomes and quality of care for patients with access to AI tools versus those who do not have access.

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More Resources:

Mutuo Health Solutions: https://ca.cherry.health/partnerships/mutuo

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Podcast: https://podcasters.spotify.com/pod/show/leaders-in-healthcare

LinkedIn: https://cherryhealth.co/linkedin

Facebook: https://www.facebook.com/cherryhealthinc/

Instagram: @cherry.health

Twitter: @cherryhealthinc

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