Achieve health equity by combating bias with responsible AI
AI has the potential to revolutionize healthcare, presenting a tremendous opportunity to transform many aspects of administrative processes and patient care within provider organizations.
In this week’s HIMSSCast, we’re going to focus on something called responsible AI.
Guests are Oneil Rego, partner and healthcare industry data and analytics practice leader at PwC, and Ilana Golbin Blumenfeld, emerging AI and technology director and globally responsible AI leader at PwC.
They will address how hospitals and health systems fulfill AI responsibilities; why organizations need to treat AI as a game at a macro level that includes platforms, transformation and innovation; and much more
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Talking point:
- The complexity and proliferation of data in healthcare makes it vulnerable to disruption. But given the sensitive nature of the industry, the potential to impact patient safety and care, and the importance of protecting privacy and safety, it’s important to get it right.
- Workplace transformation will be critical to scaling responsibly, and once that is done – the real innovation will begin. Organizations need to view AI as a macro-level game with three key components: platform, transformation, and innovation.
- It is important that responsible AI is not seen as an afterthought but something that needs to be prioritized and embedded at the start of the AI journey.
- By putting responsible AI first and following best practices, companies can reduce risk and bias, protect patient data and privacy, create models that explainability and maintain transparency in AI algorithms.
- If AI’s responsibility is to build trust in AI systems and create sustainable value from AI investments, how do provider organizations do this?
- Continuous evaluation and improvement is vital to ensure humans are kept up to date so everyone can evaluate the impact of AI systems and gather feedback.
More information about this episode:
Telemedicine, enabled by responsible AI, can improve the patient experience
CHAI releases responsible AI framework for public comment
How responsible AI can improve patient outcomes
Creating a path to sustainable AI governance
Healthcare must control ‘if, when and how’ it develops and deploys AI
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