Enhancing Patient Medication Safety at Home: A Patient-Facing Technology Architecture Integrating REDCap,...

Area of Science:

• Digital Health
• Oncology Support Technologies
• Health Informatics

Background:

• Care transitions for cancer patients returning home present challenges in medication adherence and symptom monitoring.
• Effective self-management tools are crucial for improving patient outcomes and reducing healthcare burdens.

Purpose of the Study:

• To propose and describe a novel patient-facing technology (PFT) architecture for cancer patient self-management.
• To outline the integration of Research Electronic Data Capture (REDCap) and a retrieval augmented generation (RAG) chatbot within the PFT architecture.

Main Methods:

• Development of a PFT architecture incorporating REDCap for patient-generated data collection and storage.
• Integration of patient and administrator dashboards for data visualization and reporting.
• Design of a Q&A chatbot using a RAG framework for enhanced patient interaction.

Main Results:

• The architecture facilitates the collection and visualization of patient-reported medication and symptom data.
• Dashboards provide customized reports for patients and administrators.
• A RAG-based chatbot is proposed to enhance PFT interactivity.

Conclusions:

• The proposed PFT architecture offers a maintainable, cost-efficient, and secure solution for cancer patient self-management post-discharge.
• This framework provides guidance for future patient-facing technology development in oncology care.