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Information Quality Frameworks for Digital Health Technologies: Systematic Review.

dc.contributor.authorFadahunsi, Kayode Philip
dc.contributor.authorO'Connor, Siobhan
dc.contributor.authorAkinlua, James Tosin
dc.contributor.authorWark, Petra A
dc.contributor.authorGallagher, Joseph
dc.contributor.authorCarroll, Christopher
dc.contributor.authorCar, Josip
dc.contributor.authorMajeed, Azeem
dc.contributor.authorO'Donoghue, John
dc.date.accessioned2025-03-03T10:30:49Z
dc.date.available2025-03-03T10:30:49Z
dc.date.issued2021-05-17
dc.identifier.pmid33835034
dc.identifier.doi10.2196/23479
dc.identifier.urihttp://hdl.handle.net/10147/644471
dc.descriptionBackground: Digital health technologies (DHTs) generate a large volume of information used in health care for administrative, educational, research, and clinical purposes. The clinical use of digital information for diagnostic, therapeutic, and prognostic purposes has multiple patient safety problems, some of which result from poor information quality (IQ). Objective: This systematic review aims to synthesize an IQ framework that could be used to evaluate the extent to which digital health information is fit for clinical purposes. Methods: The review was conducted according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) guidelines. We searched Embase, MEDLINE, PubMed, CINAHL, Maternity and Infant Care, PsycINFO, Global Health, ProQuest Dissertations and Theses Global, Scopus, and HMIC (the Health Management Information Consortium) from inception until October 2019. Multidimensional IQ frameworks for assessing DHTs used in the clinical context by health care professionals were included. A thematic synthesis approach was used to synthesize the Clinical Information Quality (CLIQ) framework for digital health. Results: We identified 10 existing IQ frameworks from which we developed the CLIQ framework for digital health with 13 unique dimensions: accessibility, completeness, portability, security, timeliness, accuracy, interpretability, plausibility, provenance, relevance, conformance, consistency, and maintainability, which were categorized into 3 meaningful categories: availability, informativeness, and usability. Conclusions: This systematic review highlights the importance of the IQ of DHTs and its relevance to patient safety. The CLIQ framework for digital health will be useful in evaluating and conceptualizing IQ issues associated with digital health, thus forestalling potential patient safety problems.en_US
dc.language.isoenen_US
dc.rights©Kayode Philip Fadahunsi, Siobhan O'Connor, James Tosin Akinlua, Petra A Wark, Joseph Gallagher, Christopher Carroll, Josip Car, Azeem Majeed, John O'Donoghue. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 17.05.2021.
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectDIGITAL HEALTHen_US
dc.subjectinformation qualityen_US
dc.subjectPATIENT SAFETYen_US
dc.titleInformation Quality Frameworks for Digital Health Technologies: Systematic Review.en_US
dc.typeArticleen_US
dc.identifier.eissn1438-8871
dc.identifier.journalJournal of medical Internet researchen_US
dc.source.journaltitleJournal of medical Internet research
dc.source.volume23
dc.source.issue5
dc.source.beginpagee23479
dc.source.endpage
refterms.dateFOA2025-03-03T10:30:51Z
dc.source.countryCanada


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©Kayode Philip Fadahunsi, Siobhan O'Connor, James Tosin Akinlua, Petra A Wark, Joseph Gallagher, Christopher Carroll, Josip Car, Azeem Majeed, John O'Donoghue. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 17.05.2021.
Except where otherwise noted, this item's license is described as ©Kayode Philip Fadahunsi, Siobhan O'Connor, James Tosin Akinlua, Petra A Wark, Joseph Gallagher, Christopher Carroll, Josip Car, Azeem Majeed, John O'Donoghue. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 17.05.2021.