Enhancing Large Language Models with Human Expertise for Disease Detection in Electronic Health Records

Electronic health records (EHR) are widely available to complement administrative data-based disease surveillance and healthcare performance evaluation. Defining conditions from EHR is labour-intensive, requiring advanced medical informatics knowledge. We linked a cardiac registry cohort in 2015 with an EHR system in a city in Canada. We developed a throughput pipeline that leverages a generative large language model (LLM) to analyze, …