Comparing Leading AI Models for Clinical Text Processing: An Observational Study
The burgeoning volume of clinical documentation presents a significant challenge in modern healthcare, often diverting clinicians’ attention from direct patient care. This study evaluates the potential of three leading artificial intelligence models: ChatGPT, Claude, and Gemini, to alleviate the clinical documentation burden. We assessed these models on data extraction, data analysis, and document summarization tasks using a small set of diverse clinical texts: radiology reports, patient histories, and clinical notes. Our evaluation aims to reveal notable differences in model performance across tasks and text types. This study provides insights into the current state of AI-assisted clinical text processing and its potential to support healthcare professionals.