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Updated: Jun 8, 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

Supporting human interaction and human resources coordination in distributed clinical guidelines.

Alessio Bottrighi¹, Mauro Torchio, Stefania Montani

¹Dipartimento di Informatica, Università del Piemonte Orientale, Alessandria, Italy.

Studies in Health Technology and Informatics

|September 16, 2010

Summary

Computerized clinical guidelines (GL) management improves patient care by enhancing communication and coordination among healthcare providers. This system ensures seamless treatment continuation across different care settings, optimizing outcomes for chronic disease management.

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Last Updated: Jun 8, 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 Services Research
Medical Informatics
Clinical Practice Guidelines

Background:

Clinical guidelines (GL) are essential for evidence-based medicine and optimizing patient care quality.
Effective execution of GL, especially for chronic diseases, necessitates seamless collaboration between diverse healthcare actors across various settings (e.g., hospital, home, general practitioner).
Inter-actor communication and human resource coordination are critical for maintaining care quality when treatment extends beyond the hospital.

Purpose of the Study:

To describe the extension of computerized GL management systems.
To demonstrate how these systems can support improved interaction and communication among healthcare providers.
To address the coordination challenges in multi-actor GL execution.

Main Methods:

Development and description of an extended computerized GL management system.
Integration of features to support inter-actor communication and coordination.
Illustration of the approach through a practical case study.

Main Results:

The proposed computerized GL management system can effectively support the complex needs of multi-actor collaboration.
Enhanced communication and coordination features facilitate smoother patient care transitions.
The case study demonstrates the practical applicability and benefits of the system.

Conclusions:

Computerized GL management systems can be enhanced to significantly improve coordination and communication among healthcare providers.
Optimizing human resource coordination through technology is key to successful GL implementation in diverse care settings.
This approach offers a viable solution for managing continuity of care and improving patient outcomes.