64: Integrating Users with Machine Learning and Large Language Models to Healthcare Data and Text

Music City Center 

This paper presents an interface that uses machine learning (ML) and large language models (LLMs) to enhance predictive analytics, patient experience and performance improvement; ultimately, this user-friendly tool will provide actionable insights into an interactive and shareable dashboard. From the beginning, the paper illustrates the importance of a comprehensive healthcare analytics platform and advanced analytical tools, driven by the exponential growth of meaningful data and text availability. It goes on to outline our team's approach to integrating various data sources, applying ML algorithms and deploying LLMs for natural language processing. This interface shows potential to improve predictive analytics by identifying patterns and trends, which can then be used to improve or resolve complexities related to the patient experience. The impact of integrating ML and LLMs in healthcare analytics is transformative and warrants broader adoption.

Comprehensive Analytics Platform

Machine Learning (ML)

Large Language Models (LLMs)

Predictive Analytics

Patient Experience

Performance Improvement 

Section on Text Analysis