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Related Experiment Video

Updated: Jun 3, 2026

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Published on: April 12, 2021

Participatory Digital Twins for Chronic Care: From Predictive Models to Shared Sensemaking.

Qingrui Li¹, Bo Xie², Eric Johnson³

¹NORTH DAKOTA STATE UNIVERSIT, North Dakota State University, NORTH DAKOTA STATE UNIVERSITDept. 4000- PO Box 6050, Fargo, US.

Journal of Participatory Medicine

|June 2, 2026

Summary

We propose reframing health digital twins as participatory systems, enhancing patient engagement in chronic care. This approach uses generative AI to foster shared understanding between patients and clinicians, improving AI-enabled healthcare.

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Last Updated: Jun 3, 2026

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Published on: April 12, 2021

Area of Science:

Artificial Intelligence in Healthcare
Computational Modeling
Digital Health

Background:

Health digital twins are advanced computational models for chronic care management.
Current digital twins are expert-oriented, limiting patient understanding and engagement.
Chronic care requires patient participation in daily decisions and sustained engagement.

Purpose of the Study:

To advocate for reframing digital twins as participatory systems for shared sensemaking.
To propose a conceptual framework for participatory digital twins.
To explore the role of generative AI in patient-clinician interaction.

Main Methods:

Conceptual framework development for participatory digital twins.
Integration of generative AI as a translation layer.
Outlining design principles for participatory digital twins.

Main Results:

Participatory digital twins can bridge computational models and lived experiences.
Generative AI enables plain-language dialogue and "what-if" reasoning.
Key design principles include visible uncertainty and negotiated care.

Conclusions:

Participatory digital twins promote equitable, human-centered chronic care.
Shifting focus to understanding, interaction, and trust enhances AI-enabled healthcare.
Addressing privacy, consent, and access is crucial for equitable implementation.