November 2025 SCIP Meeting - Integrating AI and LLMs with healthcare improvement tools

Chenna Lee and Eliza Ennis presented their work on integrating AI, specifically LLMs, with tools like Voalte to mine data for improvement teams. They discussed their conceptual project, which is in its early stages, and expressed interest in engaging with the improvement community for ideas. Eliza Ennis, a fourth-year PhD student in health policy, shared her focus on patient flow issues in the NICU and intermediate care nursery, while Chenna Lee, with a Computer Science background, highlighted her interest in data utilization and collaboration with Children's Hospital. They plan to explore existing data and develop methods to simplify the burden on healthcare professionals. They presented their conceptual project on integrating AI and LLMs with healthcare tools to improve workflow efficiency and reduce burden on care providers, with a focus on analyzing data from the NICU and intermediate care nursery. They explored various applications of LLMs in healthcare settings, including group chat features and improved patient transfer tracking, while discussing challenges in data collection and system integration. The group concluded by discussing methods to validate processes and analyze nurse-patient communication data, with potential opportunities for future collaboration and student involvement in healthcare projects.