Development and Evaluation of an Intelligent System for Generating Guidelines for Prescribing Medication that is Safe, Accessible and Adapted to Different Cultural Contexts

Zilma Silveira Nogueira Reis of Universidade Federal de Minas Gerais in Brazil will develop a Large Language Model (LLM) that can generate personalized instructions for taking medications that are tailored to a user’s level of literacy, cultural context, and special needs to increase equitable access to medications and promote safe and effective patient self-care. They will determine the contexts that medicines are prescribed in the Portuguese-speaking countries Brazil, Mozambique, and Portugal; and they will train an LLM with a Brazilian public corpus of medical leaflets, social media text, and other relevant documents. A team of prescribing professionals will evaluate the LLM product for use as a web-based platform, including its ability to use an individual patient profile to generate personalized text instructions with supporting pictograms, such as those indicating relevant body parts, dose, unit of measurement, and mechanism of administration.