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A Maturity Model for REDCap-Based Patient-Facing Technologies: A Roadmap Toward Patient-Centered Intelligence
Zhengcan Xie1, Yuheng Shi1, Eric Yang1
1University of Texas Health Science Center at Houston, Houston, Texas, USA.
None:
With the increasing adoption of patient-facing technologies (PFTs) that support direct interaction and real-time health data capture, the Research Electronic Data Capture (REDCap) ecosystem has emerged as a sustainable web-based alternative to mobile operating system-dependent applications. However, presenting raw health data without interpretation can burden patients, particularly those with limited health literacy. To address this gap, we propose a four-tier maturity model-Data Collection, System Integration, Personalized Insights, and Intelligence Hub-that outlines an evolutionary pathway from isolated data silos to AI-enabled, proactive patient support. By defining key capabilities across tiers, the model provides a structured roadmap to guide the design, implementation, and evaluation of sustainable REDCap-based PFTs that enhance patient engagement and improve health outcomes.
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