Enhancing Patient Medication Safety at Home: A Patient-Facing Technology Architecture Integrating REDCap, Visualization Dashboards, and an AI Driven Chatbot

Presentation Time: 10:30 AM - 10:45 AM

Abstract Keywords: Patient Safety, Tracking and Self-management Systems, Transitions of Care, Chronic Care Management, Patient / Person Generated Health Data (Patient Reported Outcomes), Patient Engagement and Preferences, Human-computer Interaction, Large Language Models (LLMs)
Primary Track: Applications
Programmatic Theme: Clinical Informatics

This work demonstrates a novel architecture for a patient-facing technology (PFT) that supports patients with cancer to self-manage medication concerns and symptoms after care transitions back home. Patient-generated data are collected and stored using the framework of Research Electronic Data Capture (REDCap), which serves as a key component of the architecture. Individual patient and administrator dashboards are integrated with REDCap to visualize medication or symptom-related data and generate customized report summaries. Additionally, a Q&A chatbot, using a retrieval augmented generation (RAG) framework, is integrated into the architecture to further enhance the interactivity of the PFT. The proposed architecture is designed as a strategic prototype for easy maintenance, cost efficiency, readiness for integration, and data security, serving as a guidance for future PFT design and development.

Speaker(s):
Yun Jiang, PhD, MS, RN, FAMIA
University of Michigan

Author(s):
Yue Yu, MD, Ph.D. - UTHealth at Houston SBMI; Yuheng Shi, MS - UTHealth Houston; Eric Yang, BS - UTHealth Houston; Katie Gahn, BS - University of Michigan; Heidi Mason, RN, DNP, ACNP-BC - University of Michigan; Yun Jiang, PhD, MS, RN, FAMIA - University of Michigan; Yang Gong, MD, PhD - UTHealth Houston;