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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

Efficient Health Information Management Based on Patient-Generated Digital Data.

Maria M Psiha¹

¹Department of Informatics, Ionian University, Corfu, 49100, Greece. psiha@ionio.gr.

Advances in Experimental Medicine and Biology

|October 4, 2017

Summary

This summary is machine-generated.

Patient-generated health data (PGHD) offers engagement benefits but faces provider adoption challenges. This review explores recent PGHD uses, challenges, and opportunities in digital healthcare.

Keywords:

Challenges EHR Healthcare management Patient engagement Patient-generated health data

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Area of Science:

Digital Health
Health Informatics
Patient Engagement

Background:

Healthcare is increasingly digital, with patients using apps and wearables.
Patient-generated health data (PGHD) is defined as health information gathered by patients.
Consumers are actively managing their health using digital tools.

Purpose of the Study:

To review recent applications of patient-generated health data (PGHD).
To identify challenges hindering the use of PGHD by healthcare providers.
To explore future opportunities for integrating PGHD into clinical practice.

Main Methods:

Literature review of recent studies on patient-generated health data.
Analysis of reported benefits and challenges associated with PGHD.
Synthesis of current trends and future directions in health data management.

Main Results:

PGHD shows potential for enhancing patient engagement and empowerment.
Provider adoption of PGHD is limited by several persistent issues.
Digital tools are transforming how patients interact with their health information.

Conclusions:

Addressing challenges is crucial for realizing the full potential of PGHD.
Integrating PGHD can improve patient care and provider workflows.
The future of healthcare involves greater utilization of patient-generated data.