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Clinical information quality of digital health technologies: protocol for an international eDelphi study

INTRODUCTION: Digital health technologies (DHTs) such as electronic health records, clinical decision support systems and electronic prescribing systems are widely used in healthcare. While adoption of DHTs can improve healthcare delivery, information quality (IQ) problems associated with DHTs can c...

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Autores principales: Fadahunsi, Kayode Philip, Wark, Petra A, Mastellos, Nikolaos, Gallagher, Joseph, Majeed, Azeem, Car, Josip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9036461/
https://www.ncbi.nlm.nih.gov/pubmed/35459673
http://dx.doi.org/10.1136/bmjopen-2021-057430
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author Fadahunsi, Kayode Philip
Wark, Petra A
Mastellos, Nikolaos
Gallagher, Joseph
Majeed, Azeem
Car, Josip
author_facet Fadahunsi, Kayode Philip
Wark, Petra A
Mastellos, Nikolaos
Gallagher, Joseph
Majeed, Azeem
Car, Josip
author_sort Fadahunsi, Kayode Philip
collection PubMed
description INTRODUCTION: Digital health technologies (DHTs) such as electronic health records, clinical decision support systems and electronic prescribing systems are widely used in healthcare. While adoption of DHTs can improve healthcare delivery, information quality (IQ) problems associated with DHTs can compromise quality and safety of care. The clinical information quality (CLIQ) framework for digital health is a novel approach to assessing the quality of clinical information from DHTs. This study aims to appraise the CLIQ framework by exploring clinicians’ perspectives on the relevance, definition and assessment of IQ dimensions as defined in the framework. This study will adapt the CLIQ framework to the needs of clinical information users—the clinicians. The contextualised CLIQ framework will offer a pragmatic approach to assessing clinical information from DHTs and may help to forestall IQ problems that can compromise quality and safety of care. METHODS AND ANALYSIS: The electronic Delphi (eDelphi) approach will be used to engage a heterogeneous group of clinicians with patient-facing and/or information governance roles recruited through purposive and snowball sampling techniques. A semi-structured online questionnaire will be used to explore clinicians’ perspectives on relevance, definition and assessment of IQ dimensions in the CLIQ framework. Survey responses on the relevance of dimensions will be summarised using descriptive statistics to inform decisions on retention of dimensions and termination of the study, based on pre-specified rules. Analysis of the free-text responses will be used to revise definition and assessment of dimensions. ETHICS AND DISSEMINATION: Ethics approval has been obtained from the Imperial College Research Governance and Integrity Team (Imperial College Research Ethics Committee (ICREC) Reference number: 20IC6396). The results of the study will be published in a peer-reviewed journal and presented at scientific conferences.
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spelling pubmed-90364612022-05-06 Clinical information quality of digital health technologies: protocol for an international eDelphi study Fadahunsi, Kayode Philip Wark, Petra A Mastellos, Nikolaos Gallagher, Joseph Majeed, Azeem Car, Josip BMJ Open Health Informatics INTRODUCTION: Digital health technologies (DHTs) such as electronic health records, clinical decision support systems and electronic prescribing systems are widely used in healthcare. While adoption of DHTs can improve healthcare delivery, information quality (IQ) problems associated with DHTs can compromise quality and safety of care. The clinical information quality (CLIQ) framework for digital health is a novel approach to assessing the quality of clinical information from DHTs. This study aims to appraise the CLIQ framework by exploring clinicians’ perspectives on the relevance, definition and assessment of IQ dimensions as defined in the framework. This study will adapt the CLIQ framework to the needs of clinical information users—the clinicians. The contextualised CLIQ framework will offer a pragmatic approach to assessing clinical information from DHTs and may help to forestall IQ problems that can compromise quality and safety of care. METHODS AND ANALYSIS: The electronic Delphi (eDelphi) approach will be used to engage a heterogeneous group of clinicians with patient-facing and/or information governance roles recruited through purposive and snowball sampling techniques. A semi-structured online questionnaire will be used to explore clinicians’ perspectives on relevance, definition and assessment of IQ dimensions in the CLIQ framework. Survey responses on the relevance of dimensions will be summarised using descriptive statistics to inform decisions on retention of dimensions and termination of the study, based on pre-specified rules. Analysis of the free-text responses will be used to revise definition and assessment of dimensions. ETHICS AND DISSEMINATION: Ethics approval has been obtained from the Imperial College Research Governance and Integrity Team (Imperial College Research Ethics Committee (ICREC) Reference number: 20IC6396). The results of the study will be published in a peer-reviewed journal and presented at scientific conferences. BMJ Publishing Group 2022-04-22 /pmc/articles/PMC9036461/ /pubmed/35459673 http://dx.doi.org/10.1136/bmjopen-2021-057430 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Health Informatics
Fadahunsi, Kayode Philip
Wark, Petra A
Mastellos, Nikolaos
Gallagher, Joseph
Majeed, Azeem
Car, Josip
Clinical information quality of digital health technologies: protocol for an international eDelphi study
title Clinical information quality of digital health technologies: protocol for an international eDelphi study
title_full Clinical information quality of digital health technologies: protocol for an international eDelphi study
title_fullStr Clinical information quality of digital health technologies: protocol for an international eDelphi study
title_full_unstemmed Clinical information quality of digital health technologies: protocol for an international eDelphi study
title_short Clinical information quality of digital health technologies: protocol for an international eDelphi study
title_sort clinical information quality of digital health technologies: protocol for an international edelphi study
topic Health Informatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9036461/
https://www.ncbi.nlm.nih.gov/pubmed/35459673
http://dx.doi.org/10.1136/bmjopen-2021-057430
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