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Updated: May 29, 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

Health informatics 3.0.

¹Centre for Health Informatics and Multiprofessional Education, University College London, Holborn Union Building, Highgate Hill, London. d.kalra@ucl.ac.uk

Yearbook of Medical Informatics

|September 23, 2011

Summary

This summary is machine-generated.

Web 3.0 and Health Informatics 3.0 offer smart services for healthcare, improving collaboration between professionals and patients. This enables personalized care recommendations by integrating electronic health records with research and predictive models.

Related Experiment Videos

Last Updated: May 29, 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:

Health Informatics
Computer Science
Artificial Intelligence

Background:

Web 3.0 technologies promise intelligent services for personalized information delivery.
Healthcare can benefit from these advancements to enhance interdisciplinary and patient-clinician collaboration.
Semantic resources are crucial for connecting virtual teams and linking strategies to evidence.

Purpose of the Study:

To explore the potential of Web 3.0 and Health Informatics 3.0 in transforming healthcare delivery.
To highlight the need for harmonized semantic resources for effective knowledge integration.
To demonstrate how integrated systems can support personalized care and clinical decision-making.

Main Methods:

Leveraging semantic resources to connect diverse healthcare professionals and data sources.
Integrating Electronic Health Records (EHRs) with biomedical ('omics) research and predictive models.
Developing components for consistent interaction with multiple EHR systems and services.

Main Results:

Web 3.0 enables smart services that prioritize relevant information for decision support.
Health Informatics 3.0 facilitates comparison of current patient situations with large datasets for personalized recommendations.
Integration of EHRs, 'omics data, and predictive models accelerates knowledge translation into practice.

Conclusions:

Health Informatics 3.0 aims to create a knowledge-empowered network for collaboration among citizens, patients, and professionals.
Seamless integration of patient-specific information and real-time evidence is key to personalized healthcare.
Web 3.0 technologies are essential for achieving a future of informed, collaborative, and personalized healthcare.