Understanding the Limitations and Risks of ChatGPT in Healthcare

Understanding the Limitations and Risks of ChatGPT in Healthcare

Welcome Leslie. Thank you so much for joining us today. We have a very interesting topic to discuss: ChatGPT. ChatGPT is an advanced language model developed by OpenAI, a company backed by Microsoft. It is built upon the generative pre-trained Transformer architecture and is specifically designed to generate human-like responses in natural language conversations. Think of it as Google on steroids, allowing users to ask more complex questions and get more detailed answers.

However, it is important to understand the limitations of ChatGPT. It lacks common sense and real-world understanding, so it may struggle with questions that require deep understanding beyond the patterns it has learned. It is also sensitive to input phrasing, so slight changes in wording can lead to different answers. Additionally, ChatGPT can provide incomplete or inaccurate information based on the patterns it has learned from training data.

There are also compliance risks associated with using ChatGPT in healthcare. One major risk is the violation of patient privacy. ChatGPT is not HIPAA compliant, and sensitive patient information may be unintentionally disclosed, leading to potential violations of privacy laws. Another risk is bias and discrimination. ChatGPT learns from a vast amount of text data, which can introduce biases present in the training data. This can contribute to healthcare disparities and biases that already exist.

To mitigate these risks, it is essential to implement robust data handling protocols and ensure secure communication channels when using AI-based systems. Regular audits and ongoing monitoring of AI systems are also necessary to identify and address any biases or privacy breaches.

Thank you again for attending this training preview. For more information and upcoming trainings, please visit www.hctrainingleader.com. Have a great day!

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