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Artificial Intelligence

HIMSSCast: Reaching for health equity by combatting bias with responsible AI

A look at the ethics that provider organizations must consider when building out responsible models and equitable healthcare experiences, according to Oneil Rego and Ilana Golbin Blumenfeld, two experts at consulting giant PwC.
By Bill Siwicki
September 27, 2024
01:26 PM

Photo: Tetra Images/Getty Images

AI has the potential to revolutionize healthcare, showcasing tremendous opportunity to transform many aspects of patient care and administrative processes within provider organizations.

In this week's HIMSSCast, we'll be focusing on what's known as responsible AI.

The guests are Oneil Rego, partner and health industries data and analytics practice leader at PwC, and Ilana Golbin Blumenfeld, director of emerging technology and AI and global responsible AI leader at PwC.

They will address how hospitals and health systems do responsible AI right; why organizations need to think about AI as a macro-level play including foundation, transformation and innovation; and much more.

 

Like what you hear? Subscribe to the podcast on Apple Podcasts, Spotify or Google Play!

Talking points:

  • The complexity and rise of data in healthcare makes it ripe for disruption. But given the sensitive nature of the industry, the potential for impact to patient safety and care, and the importance of protecting privacy and safety, it’s important to do it right.
  • Transformation in the workplace will be crucial for scaling responsibly, and after that’s done – real innovation begins. Organizations need to think about AI as a macro-level play with three key components: foundation, transformation and innovation.
  • It's important responsible AI is not treated as an afterthought, rather something that should be prioritized and embedded at the start of an AI journey.
  • By keeping responsible AI at the forefront and following best practices, companies can mitigate risk and biases, protect patient data and privacy, create explainable models, and maintain transparency in AI algorithms.
  • If responsible AI is about building trust with AI systems and enabling sustained value from AI investments, how do provider organizations pull this off?
  • Continual evaluation and improvement are important to make sure humans are always kept in the loop so people can evaluate the impact of AI systems and collect feedback.

More about this episode:

Telemedicine, enabled with responsible AI, can improve the patient experience

CHAI releases responsible AI framework for public comment

How responsible AI can boost patient outcomes

Creating a path for sustainable AI governance

Healthcare must control the 'whether, when and how' of AI development and deployment

Follow Bill's HIT coverage on LinkedIn: Bill Siwicki
Email him: bsiwicki@himss.org
Healthcare IT News is a HIMSS Media publication.

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