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Patient-generated health data and electronic health record integration: protocol for a scoping review

INTRODUCTION: The objective of this study is to determine the extent and describe the nature of patient-generated health data (PGHD) integration into electronic health records (EHRs) using systematic scoping methods to review the available literature. PGHD have the potential to enhance decision maki...

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Autores principales: Tiase, Victoria L, Hull, William, McFarland, Mary M, Sward, Katherine A, Del Fiol, Guilherme, Staes, Catherine, Weir, Charlene, Cummins, Mollie R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6937018/
https://www.ncbi.nlm.nih.gov/pubmed/31852707
http://dx.doi.org/10.1136/bmjopen-2019-033073
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author Tiase, Victoria L
Hull, William
McFarland, Mary M
Sward, Katherine A
Del Fiol, Guilherme
Staes, Catherine
Weir, Charlene
Cummins, Mollie R
author_facet Tiase, Victoria L
Hull, William
McFarland, Mary M
Sward, Katherine A
Del Fiol, Guilherme
Staes, Catherine
Weir, Charlene
Cummins, Mollie R
author_sort Tiase, Victoria L
collection PubMed
description INTRODUCTION: The objective of this study is to determine the extent and describe the nature of patient-generated health data (PGHD) integration into electronic health records (EHRs) using systematic scoping methods to review the available literature. PGHD have the potential to enhance decision making by providing the valuable information that may not be ordinarily captured during a routine care visit. These data which are captured from mobile devices, such as smartphones, activity trackers and other sensors, should be integrated into clinical workflows to allow for optimal use by clinicians. METHODS AND ANALYSIS: This study aims to conduct a rigorous scoping review to explore evidence related to the integration of PGHD into EHRs. Using the framework developed by Arksey and O’Malley, we will create a systematic search strategy, chart data from the relevant articles, and use a qualitative, thematic approach to analyse the data. This review will enable the identification of types of integration and describe challenges and barriers to integrating PGHD. ETHICS AND DISSEMINATION: Database searches will be initiated in June 2019. The review is expected to be completed by October 2019. As the content of the full-text articles emerges, the authors will summarise the characteristics related to the integration of PGHD. The findings of this scoping review will identify research gaps and present implications for future research.
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spelling pubmed-69370182020-01-06 Patient-generated health data and electronic health record integration: protocol for a scoping review Tiase, Victoria L Hull, William McFarland, Mary M Sward, Katherine A Del Fiol, Guilherme Staes, Catherine Weir, Charlene Cummins, Mollie R BMJ Open Health Informatics INTRODUCTION: The objective of this study is to determine the extent and describe the nature of patient-generated health data (PGHD) integration into electronic health records (EHRs) using systematic scoping methods to review the available literature. PGHD have the potential to enhance decision making by providing the valuable information that may not be ordinarily captured during a routine care visit. These data which are captured from mobile devices, such as smartphones, activity trackers and other sensors, should be integrated into clinical workflows to allow for optimal use by clinicians. METHODS AND ANALYSIS: This study aims to conduct a rigorous scoping review to explore evidence related to the integration of PGHD into EHRs. Using the framework developed by Arksey and O’Malley, we will create a systematic search strategy, chart data from the relevant articles, and use a qualitative, thematic approach to analyse the data. This review will enable the identification of types of integration and describe challenges and barriers to integrating PGHD. ETHICS AND DISSEMINATION: Database searches will be initiated in June 2019. The review is expected to be completed by October 2019. As the content of the full-text articles emerges, the authors will summarise the characteristics related to the integration of PGHD. The findings of this scoping review will identify research gaps and present implications for future research. BMJ Publishing Group 2019-12-17 /pmc/articles/PMC6937018/ /pubmed/31852707 http://dx.doi.org/10.1136/bmjopen-2019-033073 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 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/.
spellingShingle Health Informatics
Tiase, Victoria L
Hull, William
McFarland, Mary M
Sward, Katherine A
Del Fiol, Guilherme
Staes, Catherine
Weir, Charlene
Cummins, Mollie R
Patient-generated health data and electronic health record integration: protocol for a scoping review
title Patient-generated health data and electronic health record integration: protocol for a scoping review
title_full Patient-generated health data and electronic health record integration: protocol for a scoping review
title_fullStr Patient-generated health data and electronic health record integration: protocol for a scoping review
title_full_unstemmed Patient-generated health data and electronic health record integration: protocol for a scoping review
title_short Patient-generated health data and electronic health record integration: protocol for a scoping review
title_sort patient-generated health data and electronic health record integration: protocol for a scoping review
topic Health Informatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6937018/
https://www.ncbi.nlm.nih.gov/pubmed/31852707
http://dx.doi.org/10.1136/bmjopen-2019-033073
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