Information Quality Frameworks for Digital Health Technologies: Systematic Review.

Area of Science:

• Health Informatics
• Patient Safety
• Systematic Review

Background:

• Digital health technologies (DHTs) produce extensive data for healthcare.
• Clinical use of digital health information presents patient safety challenges due to information quality (IQ) issues.

Purpose of the Study:

• To synthesize an IQ framework for evaluating digital health information suitability in clinical settings.
• To develop a comprehensive framework for assessing the quality of digital health information.

Main Methods:

• Systematic review following PRISMA guidelines.
• Searched multiple databases (Embase, MEDLINE, PubMed, etc.) until October 2019.
• Thematic synthesis used to develop the Clinical Information Quality (CLIQ) framework for digital health.

Main Results:

• Identified 10 IQ frameworks and developed the CLIQ framework.
• CLIQ framework comprises 13 dimensions: accessibility, completeness, portability, security, timeliness, accuracy, interpretability, plausibility, provenance, relevance, conformance, consistency, and maintainability.
• Dimensions categorized into availability, informativeness, and usability.

Conclusions:

• Emphasizes the critical role of IQ in DHTs for patient safety.
• The CLIQ framework aids in evaluating and understanding IQ issues in digital health.
• Implementation of CLIQ can help prevent patient safety problems related to digital health information.