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Ethical Standards I01:25

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Patient-Generated Health Data (PGHD): Understanding, Requirements, Challenges, and Existing Techniques for Data

Pankaj Khatiwada1, Bian Yang1, Jia-Chun Lin1

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This summary is machine-generated.

Patient-Generated Health Data (PGHD) from devices like wearables is transforming healthcare. This review clarifies PGHD

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PGHDhealth datapatient-generated health dataprivacysecurity

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Area of Science:

  • Health Informatics
  • Digital Health
  • Patient-Centered Care

Background:

  • Patient-Generated Health Data (PGHD) is expanding due to technology, enabling continuous monitoring.
  • Stakeholders lack a clear understanding of PGHD, raising concerns about data security, privacy, and accuracy.

Purpose of the Study:

  • To review and clarify Patient-Generated Health Data (PGHD).
  • To examine PGHD origins, types, technology, and challenges, focusing on privacy and security regulations.
  • To explore PGHD's role in patient-centric and personalized healthcare.

Main Methods:

  • Systematic literature review following PRISMA guidelines.
  • Utilized Rayyan AI for systematic literature reviews.
  • Included 36 peer-reviewed articles and domain knowledge articles for a comprehensive analysis.

Main Results:

  • PGHD offers transformative potential for patient-centric healthcare.
  • Identified key challenges in PGHD, particularly concerning data privacy and security.
  • Explored emerging technologies and basic to advanced security measures for PGHD.

Conclusions:

  • PGHD is crucial for personalized care and continuous health monitoring.
  • Addressing data privacy and security is paramount for effective PGHD integration.
  • Further research and clear guidelines are needed to optimize PGHD utilization.