AI in Healthcare Virtual Summit Session Recordings-AI for Healthcare in Action

Video Transcription

Video Summary

In this session of the AI and Healthcare Virtual Summit, Wura Ola Oyewusi discusses how AI can be integrated into healthcare, particularly for decision-makers. Three key roles in AI integration are identified: the end user, the domain expert, and the AI governance leader. End users interact directly with AI-powered tools, such as those used for research or clinical practice, and should focus on the tool's usability, reliability, and safety. Domain experts contribute their clinical knowledge to ensure data quality and relevance, while AI governance leaders consider ethical and regulatory aspects, such as patient data privacy and tool reliability.<br /><br />Oyewusi emphasizes the importance of approaching AI tools as part of software systems that require regular updates and maintenance. She highlights the wide applications of AI in healthcare, such as using machine learning tools for efficient data extraction from clinical notes or developing domain-specific tools like transcription systems for endocrinology. By treating AI as a software component and asking the right questions, healthcare professionals can ensure these technologies are effectively integrated into clinical settings to enhance patient care and research outcomes. The session encourages proactive engagement with AI tools, underscoring that while technology might evolve, the need for human oversight and expertise remains critical.

Asset Subtitle

Wuraola Oyewusi
Data Scientist and AI Technical Instructor
LinkedIn Learning

Keywords

AI integration

healthcare

decision-makers

end user

domain expert

AI governance

patient data privacy

machine learning

clinical practice


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