Faculty, Staff and Student Publications

Language

English

Publication Date

1-1-2024

Journal

AMIA Annual Symposium Proceedings

PMID

40417505

PMCID

PMC12099335

PubMedCentral® Posted Date

5-22-2025

PubMedCentral® Full Text Version

Post-print

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.

Keywords

Humans, Patient Safety, Neoplasms, Artificial Intelligence, User-Computer Interface, Home Care Services, Electronic Health Records, Self Care, Generative Artificial Intelligence

Published Open-Access

yes

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