Dr Centaine Snoswell, Dr Anthony Smith, Dr Jaimon Kelly and Dr Liam Caffery from UQ Centre for Online Health and Centre for Health Services Research have collaborated with Dr Aaron Snoswell from QUTs Australian Research Council Centre of Excellence for Automated Decision Making and Society.
Large language models (LLMs), such as ChatGPT, are transforming the telehealth landscape and becoming an integral part of digital healthcare. Their integration into search engines, Microsoft products, and other applications will change how patients and clinicians access information. LLMs have the potential to improve telehealth services, including remote-monitoring, health record summaries, and patient resources. However, they also have limitations, such as a tendency to generate false or misleading information. Clinicians need to be aware of LLMs' capabilities and limitations, ensuring any LLM-generated content is fact-checked for accuracy. Digital and health literacy remain crucial for both healthcare providers and patients, as LLMs become increasingly integrated into clinical practice. Read our latest articles on the topic here. If you don’t have access we are always happy to share if you contact us via email or ResearchGate.
Telehealth Article
Snoswell, Centaine L., Snoswell, Aaron J., Kelly, Jaimon T., Caffery, Liam J., and Smith, Anthony C. (2023). Artificial intelligence: augmenting telehealth with large language models. Journal of Telemedicine and Telecare . https://doi.org/10.1177/1357633x231169055
Pharmacy Article
Snoswell, Centaine L., Falconer, Nazanin, and Snoswell, Aaron (2023). Pharmacist vs Machine: Pharmacy services in an age of large language models. Research in Social and Administrative Pharmacy . https://doi.org/10.1016/j.sapharm.2023.03.006
