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Related Concept Videos

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Patient-centered care involves delivering care beyond inpatient hospitalization. Reflective practice can enhance a patient-centered approach. Reflective practice is a process of reasoning that considers all aspects of the present situation, including practicalities, learning from personal practice, and consideration of patient needs. Patients appreciate care decisions made while considering their input. Involving the patient in their care provides the patient with a sense of contribution rather...
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Updated: May 24, 2026

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform
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Published on: April 12, 2021

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.

Studies in Health Technology and Informatics
|May 23, 2026
PubMed
Summary
This summary is machine-generated.

Patient-facing technologies (PFTs) in Research Electronic Data Capture (REDCap) can overwhelm patients. A new four-tier model guides development of sustainable REDCap PFTs for better engagement and outcomes.

Keywords:
Patient-facing technologyREDCapframeworkmaturity model

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Last Updated: May 24, 2026

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Published on: May 15, 2020

Area of Science:

  • Health Informatics
  • Digital Health
  • Patient Engagement Technologies

Background:

  • Patient-facing technologies (PFTs) are increasingly adopted for real-time health data capture.
  • The Research Electronic Data Capture (REDCap) ecosystem offers a web-based alternative to mobile applications.
  • Raw health data presentation can pose challenges for patients, especially those with limited health literacy.

Purpose of the Study:

  • To propose a maturity model for developing sustainable REDCap-based PFTs.
  • To provide a structured roadmap for designing, implementing, and evaluating PFTs.
  • To enhance patient engagement and improve health outcomes through interpretable data.

Main Methods:

  • Development of a four-tier maturity model: Data Collection, System Integration, Personalized Insights, and Intelligence Hub.
  • Defining key capabilities and evolutionary pathways across the model's tiers.
  • Focus on transitioning from isolated data to AI-enabled, proactive patient support.

Main Results:

  • The proposed model outlines a clear progression for REDCap-based PFTs.
  • It addresses the need for data interpretation beyond raw collection.
  • The model facilitates the creation of sustainable PFTs.

Conclusions:

  • A structured maturity model is essential for effective REDCap-based PFT development.
  • Interpreted data and AI-driven insights are crucial for patient engagement.
  • Sustainable PFTs can significantly improve patient engagement and health outcomes.