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

Journal: AMIA ... Annual Symposium proceedings. AMIA Symposium
Published Date:

Abstract

This work demonstrates a novel architecture for a patient-facing technology (PFT) that supports patients with cancer in self-managing 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 intended to integrate 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.

Authors

  • Yue Yu
    Department of Mathematics, Lehigh University, Bethlehem, PA, USA.
  • Yuheng Shi
    University of Texas Health Science Center at Houston, Houston, Texas, USA.
  • Eric Yang
    Janssen Research & Development, Titusville, New Jersey, United States of America.
  • Katie Gahn
    School of Nursing, University of Michigan, Ann Arbor, MI, United States.
  • Heidi Mason
    School of Nursing, University of Michigan, Ann Arbor, MI, United States.
  • Yun Jiang
  • Yang Gong
    School of Biomedical Informatics, University of Texas Health Science Center, Houston, Texas, USA.