AI has the potential to revolutionize healthcare and offers tremendous potential to transform many aspects of patient care and administrative processes within healthcare organizations.
In this week’s HIMSSCast we focus on what is known as responsible AI.
The guests are Oneil Rego, partner and healthcare sector data and analytics practice leader at PwC, and Ilana Golbin Blumenfeld, director of emerging technology and AI and leader in globally responsible AI at PwC.
They will discuss how hospitals and healthcare systems properly handle responsible AI; why organizations should view AI as a macro-level game, including foundation, transformation and innovation; and much more.
Do you like what you hear? Subscribe to the podcast at Apple podcasts, Spotify or Google Play!
Talking points:
- The complexity and emergence of data in healthcare makes it ripe for disruption. But given the sensitive nature of the industry, the potential impact on patient safety and care, and the importance of protecting privacy and security, it’s important to get it right.
- Workplace transformation will be critical to responsible scaling, and after that happens, the real innovation begins. Organizations must view AI as a macro-level game with three key components: foundation, transformation, and innovation.
- It is important that responsible AI is not treated as an afterthought, but as something that must be prioritized and embedded at the beginning of an AI journey.
- By putting responsible AI first and following best practices, companies can reduce risk and bias, 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 sustainable value from AI investments, how can provider organizations make this happen?
- Continuous evaluation and improvement are important to ensure that people always stay informed, so that people can evaluate the impact of AI systems and collect feedback.
More about this episode:
Telemedicine, powered by responsible AI, can improve the patient experience
CHAI releases a responsible AI framework for public comment
How responsible AI can improve patient outcomes
Creating a path for sustainable AI governance
Healthcare must have control over the “if, 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.