What are the risks of integrating a generative AI tool like chatGPT with patient data?

In today’s edition of my Code to Care video series, I’m exploring the factors we should consider when evaluating this type of AI in healthcare.

Ensuring patient safety should be our top priority and tools like generative AI need careful consideration for its use cases, its accuracy, and its failure modes.

What should we consider before integrating these tools? And under what circumstances could generative AI enhance certain parts of the patient workflow? You’ll have to watch below to find out!

This is my first video on the risks/validation challenges of AI, so if you have any specific questions, drop them in the comments. I would love to hear from you.

#AI #artificialintelligence #codetocare #machinelearning #ml

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0:00 - 0:45 - Introduction: Overview of AI Risks in Patient Data Management
0:45 - 2:15 - Analyzing AI Accuracy and Potential Failures
2:15 - 3:45 - Case Study: Real-World Applications of AI in Healthcare
3:45 - 6:00 - Why Use Case Studies? Understanding Their Importance
6:00 - 8:30 - Ensuring AI Accuracy in Medical Data Processing
8:30 - 10:57 - Validating AI Integrations in Healthcare Systems

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