Imperial College London
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DrPetraWark

Faculty of Medicine, School of Public Health

Honorary Senior Lecturer in eHealth
 
 
 
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Contact

 

p.wark Website

 
 
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Location

 

Reynolds BuildingCharing Cross Campus

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Summary

 

Publications

Citation

BibTex format

@unpublished{Fadahunsi:2020:10.2196/preprints.23479,
author = {Fadahunsi, KP and O'Connor, S and Akinlua, JT and Wark, PA and Gallagher, J and Carroll, C and Car, J and Majeed, A and O'Donoghue, J},
doi = {10.2196/preprints.23479},
publisher = {JMIR Publications Inc.},
title = {Information Quality Frameworks for Digital Health Technologies: Systematic Review (Preprint)},
url = {http://dx.doi.org/10.2196/preprints.23479},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - UNPB
AB  - <sec>                    <title>BACKGROUND</title>                        <p>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).</p>                </sec>                                <sec>                    <title>OBJECTIVE</title>                        <p>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.</p>                </sec>                                <sec>                    <title>METHODS</title>                        <p>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.</p>                </sec>                                <sec>                    <title>RESULTS</title>                        <p>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, conformanc
AU  - Fadahunsi,KP
AU  - O'Connor,S
AU  - Akinlua,JT
AU  - Wark,PA
AU  - Gallagher,J
AU  - Carroll,C
AU  - Car,J
AU  - Majeed,A
AU  - O'Donoghue,J
DO  - 10.2196/preprints.23479
PB  - JMIR Publications Inc.
PY  - 2020///
TI  - Information Quality Frameworks for Digital Health Technologies: Systematic Review (Preprint)
UR  - http://dx.doi.org/10.2196/preprints.23479
ER  -
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