At Mayo Clinic Platform, Dr. Sonya Makhni focuses on data systems transformation and machine learning projects – with a special focus on mitigating and minimizing bias in artificial intelligence algorithms.
To coincide with her recent appearance at the HIMSS23 Machine Learning and AI for Healthcare Forum, we spoke with Makhni recently about the potential – and the potential risks – of AI in healthcare: where it is now, where it might be headed and how it could be fundamentally transformative for how patients are treated.
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Promise vs. reality with artificial intelligence in healthcare
Challenges with adoption and effective deployment?
How Mayo Clinic Platform is working to address these challenges
What AI use cases are most promising
Clinical and operational applications that could prove useful
What Makhni means when she says “AI solution”
Trends health systems should be aware of, either near-term or in the future
Is AI evolving faster than she thought it would?
Challenges on the horizon healthcare may not yet be prepared for
ChatGPT, and the potential impacts, positive and negative, of tools like it
Workforce challenges that could be posed by AI
More about this episode:
Effective healthcare AI from data to deployment
Healthcare must control the ‘whether, when and how’ of AI development and deployment
Epic, Microsoft partner to use generative AI for better EHRs
Generative AI as healthcare’s co-pilot
AI needs rules and regulations to evolve effectively
Digital changemakers on driving healthcare AI at scale
Harnessing artificial intelligence’s power is paramount, says Intermountain exec
Health IT leaders must attend to interoperability, value-based care and AI
How AI can help sustain health systems
Mike Miliard is executive editor of Healthcare IT News
Email the writer: [email protected]
Healthcare IT News is a HIMSS publication.
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