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Updated: Jun 20, 2026

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform
07:13

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

Published on: April 12, 2021

A framework for assessing adherence and persistence to long-term medication.

Thusitha Mabotuwana1, Jim Warren

  • 1Department of Computer Science, The University of Auckland, Auckland 1142, New Zealand. thusitha@cs.auckland.ac.nz

Studies in Health Technology and Informatics
|September 12, 2009
PubMed
Summary
This summary is machine-generated.

A new framework helps identify patients with poor medication adherence and persistence. This tool uses electronic health records to improve long-term medication management and patient follow-up.

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Last Updated: Jun 20, 2026

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform
07:13

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

Published on: April 12, 2021

Area of Science:

  • Health Informatics
  • Pharmacology
  • Patient Management

Background:

  • Poor adherence and persistence to long-term medications are significant global health challenges.
  • Existing tools for identifying patients with suboptimal adherence are limited.
  • Effective patient management requires accurate assessment of medication-taking behaviors.

Purpose of the Study:

  • To present a novel framework for assessing medication adherence and persistence rates.
  • To demonstrate the framework's utility using real-world electronic medical record data.
  • To provide a flexible and extensible tool for improving patient management.

Main Methods:

  • Development of a framework to analyze patient adherence and persistence.
  • Utilized production electronic medical record (EMR) data from a general practice.
  • Applied the framework to analyze antihypertensive and antidepressant prescribing patterns.

Main Results:

  • The framework successfully demonstrated its features in assessing adherence and persistence.
  • The analysis highlighted the potential for identifying patients needing intervention.
  • The framework's flexibility allows for diverse applications in medication management.

Conclusions:

  • The developed framework offers a valuable tool for assessing medication adherence and persistence.
  • It can be used to benchmark quality of care or identify patients for immediate follow-up.
  • This approach has the potential to enhance the management of patients on long-term therapies.