Shi Yuheng, Yang Eric, Gahn Katie, Mason Heidi, Jiang Yun, Gong Yang
McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States.
School of Nursing, University of Michigan, Ann Arbor, MI, United States.
AMIA Jt Summits Transl Sci Proc. 2025 Jun 10;2025:501-510. eCollection 2025.
This work describes the architecture design of a patient-facing technology (PFT) based on the Research Electronic Data Capture (REDCap) platform and other tools to support cancer patients in self-tracking and managing medication concerns and symptoms during transitions of care. The design is guided by the Chronic Care Model (CCM) and User-Centered Design (UCD) principles for a personalized application to inform, engage, and empower patients. We describe the evolutional details of four major versions, which represent milestones of our PFT, highlighting how specific objectives were achieved and the barriers encountered. Additionally, patient representatives were involved in the evaluation of prototypes, and potential improvements to the application of the REDCap platform were discussed. REDCap has demonstrated great potential to serve beyond its traditional role as a survey distribution and management tool. This work is intended to provide developers with insights into future PFT architecture development and sustainable research strategies.
这项工作描述了一种基于研究电子数据采集(REDCap)平台及其他工具的面向患者技术(PFT)的架构设计,以支持癌症患者在护理过渡期间自我跟踪和管理用药问题及症状。该设计以慢性病护理模型(CCM)和以用户为中心的设计(UCD)原则为指导,旨在开发一个个性化应用程序,为患者提供信息、使其参与其中并赋予其权力。我们描述了四个主要版本的演变细节,这些版本代表了我们PFT的里程碑,突出了具体目标是如何实现的以及遇到的障碍。此外,患者代表参与了原型评估,并讨论了对REDCap平台应用的潜在改进。REDCap已展现出超越其作为调查分发和管理工具的传统角色的巨大潜力。这项工作旨在为开发者提供有关未来PFT架构开发和可持续研究策略的见解。