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A Proposal for a Robust Validated Weighted General Data Protection Regulation-based Scale to Assess the Quality of Privacy Policies of Mobile Health Applications: an eDelphi Study.

Jaime BenjumeaJorge RoperoEnrique Dorronzoro-ZubieteOctavio Rivera-RomeroAlejandro Carrasco
Published in: Methods of information in medicine (2023)
The Benjumea privacy scale is a new robust tool to assess the quality of a mHealth app privacy policy, providing a deeper and complementary analysis to other scales that assesses the general quality. Also, this robust scale provides a guideline for the development of high-quality privacy policies of mHealth apps.
Keyphrases
  • big data
  • health information
  • public health
  • healthcare
  • quality improvement
  • artificial intelligence
  • machine learning
  • mental health
  • electronic health record
  • computed tomography
  • deep learning