A Novel Framework to Assess Clinical Information in Digital Health Technologies: Cross-Sectional Survey Study

The CLIQ framework demonstrated a high reliability and a modest construct validity. The CLIQ framework offers a pragmatic approach to assessing the quality of clinical information in DHTs and could be applied as part of information quality assurance systems in health care settings to improve quality of health information.

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Publication Details

Journal
JMIR Medical Informatics
Published
2025-04-14
DOI
https://doi.org/10.2196/58125
Citations
1
Primary Topic
Electronic Health Records Systems
Type
article
Field-Weighted Citation Impact
2.94
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article

A Novel Framework to Assess Clinical Information in Digital Health Technologies: Cross-Sectional Survey Study

Azeem Majeed, Ana Luísa Neves, Petra A. Wark, Josip Car et al.
1 citations
JMIR Medical Informatics
Electronic Health Records Systems
2.94
article

A Novel Framework to Assess Clinical Information in Digital Health Technologies: Cross-Sectional Survey Study

Azeem Majeed, Ana Luísa Neves, Petra A. Wark, Josip Car, Kayode Philip Fadahunsi, J. Gallagher, Nikolaos Mastellos
article en
1 citations

Abstract

The CLIQ framework demonstrated a high reliability and a modest construct validity. The CLIQ framework offers a pragmatic approach to assessing the quality of clinical information in DHTs and could be applied as part of information quality assurance systems in health care settings to improve quality of health information.

JMIR Medical InformaticsVol. 13
University College Dublin (IE), King's College London (GB), Imperial College London (GB), Coventry University (GB)
Openalex Percentile: Top 9%
Electronic Health Records Systems
2.94
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