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Analysis of Platforms and Functions of Mobile-Based Personal Health Record Systems

OBJECTIVES: Little is known about the platforms and functionalities of mobile-based personal health record (PHR) applications. The objective of this study was to investigate these two features of PHR systems. METHODS: The unit of analysis was general hospitals with more than 100 beds. This study was...

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Autores principales: Choi, Byung Kwan, Park, Young-Taek, Kwon, Lee-Seung, Kim, Yeon Sook
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7674811/
https://www.ncbi.nlm.nih.gov/pubmed/33190465
http://dx.doi.org/10.4258/hir.2020.26.4.311
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author Choi, Byung Kwan
Park, Young-Taek
Kwon, Lee-Seung
Kim, Yeon Sook
author_facet Choi, Byung Kwan
Park, Young-Taek
Kwon, Lee-Seung
Kim, Yeon Sook
author_sort Choi, Byung Kwan
collection PubMed
description OBJECTIVES: Little is known about the platforms and functionalities of mobile-based personal health record (PHR) applications. The objective of this study was to investigate these two features of PHR systems. METHODS: The unit of analysis was general hospitals with more than 100 beds. This study was based on a PHR survey conducted from May 1 to June 30, 2020 and the National Health Insurance administrative data as of March 31, 2020. The study considered the platform, Android and iPhone operation system (iOS), and types of functionalities of PHR systems. Among the 316 target hospitals, 103 hospitals had adopted PHR systems. A logistic regression analysis was used. RESULTS: This study found that 103 hospitals had adopted mobile-based PHR systems for their patients. Sixty-four hospitals (62.1%) were adopting both Android and iOS, but 36 (35.0%) and 3 (2.9%) hospitals were adopting Android only or iOS only, respectively. The PHR systems of hospitals adopting both platforms were more likely to have functions for viewing prescriptions, clinical diagnostic test results, and upcoming appointment status compared to those adopting a single platform (p < 0.001). The number of beds (odds ratio [OR] = 1.004; confidence interval [CI], 1.001–1.007; p = 0.0029) and the number of computed tomography systems (CTs) per 100 beds (OR = 6.350; CI, 1.006–40.084; p = 0.0493) were significantly associated with the adoption of both platforms. CONCLUSIONS: More than 60% of hospitals had adopted both Android and iOS platforms for their patients in Korea. Hospitals adopting both platforms had additional functionalities and significant association with the number of beds and CTs.
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spelling pubmed-76748112020-11-19 Analysis of Platforms and Functions of Mobile-Based Personal Health Record Systems Choi, Byung Kwan Park, Young-Taek Kwon, Lee-Seung Kim, Yeon Sook Healthc Inform Res Original Article OBJECTIVES: Little is known about the platforms and functionalities of mobile-based personal health record (PHR) applications. The objective of this study was to investigate these two features of PHR systems. METHODS: The unit of analysis was general hospitals with more than 100 beds. This study was based on a PHR survey conducted from May 1 to June 30, 2020 and the National Health Insurance administrative data as of March 31, 2020. The study considered the platform, Android and iPhone operation system (iOS), and types of functionalities of PHR systems. Among the 316 target hospitals, 103 hospitals had adopted PHR systems. A logistic regression analysis was used. RESULTS: This study found that 103 hospitals had adopted mobile-based PHR systems for their patients. Sixty-four hospitals (62.1%) were adopting both Android and iOS, but 36 (35.0%) and 3 (2.9%) hospitals were adopting Android only or iOS only, respectively. The PHR systems of hospitals adopting both platforms were more likely to have functions for viewing prescriptions, clinical diagnostic test results, and upcoming appointment status compared to those adopting a single platform (p < 0.001). The number of beds (odds ratio [OR] = 1.004; confidence interval [CI], 1.001–1.007; p = 0.0029) and the number of computed tomography systems (CTs) per 100 beds (OR = 6.350; CI, 1.006–40.084; p = 0.0493) were significantly associated with the adoption of both platforms. CONCLUSIONS: More than 60% of hospitals had adopted both Android and iOS platforms for their patients in Korea. Hospitals adopting both platforms had additional functionalities and significant association with the number of beds and CTs. Korean Society of Medical Informatics 2020-10 2020-10-31 /pmc/articles/PMC7674811/ /pubmed/33190465 http://dx.doi.org/10.4258/hir.2020.26.4.311 Text en © 2020 The Korean Society of Medical Informatics This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Choi, Byung Kwan
Park, Young-Taek
Kwon, Lee-Seung
Kim, Yeon Sook
Analysis of Platforms and Functions of Mobile-Based Personal Health Record Systems
title Analysis of Platforms and Functions of Mobile-Based Personal Health Record Systems
title_full Analysis of Platforms and Functions of Mobile-Based Personal Health Record Systems
title_fullStr Analysis of Platforms and Functions of Mobile-Based Personal Health Record Systems
title_full_unstemmed Analysis of Platforms and Functions of Mobile-Based Personal Health Record Systems
title_short Analysis of Platforms and Functions of Mobile-Based Personal Health Record Systems
title_sort analysis of platforms and functions of mobile-based personal health record systems
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7674811/
https://www.ncbi.nlm.nih.gov/pubmed/33190465
http://dx.doi.org/10.4258/hir.2020.26.4.311
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