Sorry, you need to enable JavaScript to visit this website.
Skip to main content
Commentary

Unlocking the potential of free text in electronic health records with large language models (LLM): enhancing patient safety and consultation interactions.

Kumarapeli P, Haddad T, de Lusignan S. Unlocking the potential of free text in electronic health records with large language models (LLM): enhancing patient safety and consultation interactions. Stud Health Technol Inform. 2024;316:746-750. doi:10.3233/shti240521.

Save
Print Download PDF
September 11, 2024
Kumarapeli P, Haddad T, de Lusignan S. Stud Health Technol Inform. 2024;316:746-750.
View more articles from the same authors.

Detailed free-text information is collected and recorded in the EHR during primary care consultations, but much of it isn't fully used. This review highlights current challenges with and potential solutions for using large language models (LLMs) to transform clinical notes into rich data sources. LLMs can process free-text information to improve patient care, identify potential issues, and enhance patient-provider communication. Significant LLM fine-tuning and training would be required to make this process more effective.

Save
Print Download PDF
Cite
Citation

Kumarapeli P, Haddad T, de Lusignan S. Unlocking the potential of free text in electronic health records with large language models (LLM): enhancing patient safety and consultation interactions. Stud Health Technol Inform. 2024;316:746-750. doi:10.3233/shti240521.