This article came into existence from a discussion within the Healf team, whereby a relative...
Written by: Pippa Thackeray
Written on: November 5, 2024
Updated on: November 6, 2024
Written by: Pippa Thackeray | Written on: November 5, 2024 | Updated on: November 6, 2024
Quick Read
ChatGPT has potential in healthcare, especially in time-sensitive situations, but has limitations for public use due to 'hallucinations' and lack of specific medical training.
Language models can improve doctor-patient communication and reduce administrative burdens, but ethical concerns and biases must be addressed.
Slow AI adoption in healthcare is attributed to complexity and risk, with current applications mainly focusing on repetitive tasks.
Supervised use and refinement of language models are crucial to avoid inaccuracies and ensure patient safety.
Contents
1. It’s all about context
2. The limitations of ChatGPT for public use
3. Language models currently used in healthcare
4. The ethical debate of GPT use in healthcare
5. Ethical implications and bias in AI model usage