Integrating Large Language Models into Obstetric EHRs: The MedGPT Use Case in Portugal

Abstract

ObsCare, an obstetric electronic health record system used in 20 Portuguese hospitals, has enabled the collection of longitudinal maternal health data. Within the MedGPT project, we aim to integrate fine-tuned large language models into ObsCare to summarize a pregnant patient's health journey, provide culturally sensitive decision support, and generate personalized educational content. The project addresses critical gaps in obstetric care caused by workforce shortages, increasing C-section rates, and rising maternal age in Portugal. We describe the planned architecture, data sources, and early implementation strategies, highlighting how MedGPT will reduce clinicians' documentation burden and enhance patient engagement. This work-in-progress reflects the preliminary results of a European collaboration to develop ethically aligned Generative AI solutions in healthcare.