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Medical applications: a database and characterization of apps in Apple iOS and Android platforms
BACKGROUND: Medical applications (apps) for smart phones and tablet computers are growing in number and are commonly used in healthcare. In this context, there is a need for a diverse community of app users, medical researchers, and app developers to better understand the app landscape. METHODS: In...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4156621/ https://www.ncbi.nlm.nih.gov/pubmed/25167765 http://dx.doi.org/10.1186/1756-0500-7-573 |
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author | Seabrook, Heather J Stromer, Julie N Shevkenek, Cole Bharwani, Aleem de Grood, Jill Ghali, William A |
author_facet | Seabrook, Heather J Stromer, Julie N Shevkenek, Cole Bharwani, Aleem de Grood, Jill Ghali, William A |
author_sort | Seabrook, Heather J |
collection | PubMed |
description | BACKGROUND: Medical applications (apps) for smart phones and tablet computers are growing in number and are commonly used in healthcare. In this context, there is a need for a diverse community of app users, medical researchers, and app developers to better understand the app landscape. METHODS: In mid-2012, we undertook an environmental scan and classification of the medical app landscape in the two dominant platforms by searching the medical category of the Apple iTunes and Google Play app download sites. We identified target audiences, functions, costs and content themes using app descriptions and captured these data in a database. We only included apps released or updated between October 1, 2011 and May 31, 2012, with a primary “medical” app store categorization, in English, that contained health or medical content. Our sample of Android apps was limited to the most popular apps in the medical category. RESULTS: Our final sample of Apple iOS (n = 4561) and Android (n = 293) apps illustrate a diverse medical app landscape. The proportion of Apple iOS apps for the public (35%) and for physicians (36%) is similar. Few Apple iOS apps specifically target nurses (3%). Within the Android apps, those targeting the public dominated in our sample (51%). The distribution of app functions is similar in both platforms with reference being the most common function. Most app functions and content themes vary considerably by target audience. Social media apps are more common for patients and the public, while conference apps target physicians. CONCLUSIONS: We characterized existing medical apps and illustrated their diversity in terms of target audience, main functions, cost and healthcare topic. The resulting app database is a resource for app users, app developers and health informatics researchers. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1756-0500-7-573) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4156621 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-41566212014-09-07 Medical applications: a database and characterization of apps in Apple iOS and Android platforms Seabrook, Heather J Stromer, Julie N Shevkenek, Cole Bharwani, Aleem de Grood, Jill Ghali, William A BMC Res Notes Research Article BACKGROUND: Medical applications (apps) for smart phones and tablet computers are growing in number and are commonly used in healthcare. In this context, there is a need for a diverse community of app users, medical researchers, and app developers to better understand the app landscape. METHODS: In mid-2012, we undertook an environmental scan and classification of the medical app landscape in the two dominant platforms by searching the medical category of the Apple iTunes and Google Play app download sites. We identified target audiences, functions, costs and content themes using app descriptions and captured these data in a database. We only included apps released or updated between October 1, 2011 and May 31, 2012, with a primary “medical” app store categorization, in English, that contained health or medical content. Our sample of Android apps was limited to the most popular apps in the medical category. RESULTS: Our final sample of Apple iOS (n = 4561) and Android (n = 293) apps illustrate a diverse medical app landscape. The proportion of Apple iOS apps for the public (35%) and for physicians (36%) is similar. Few Apple iOS apps specifically target nurses (3%). Within the Android apps, those targeting the public dominated in our sample (51%). The distribution of app functions is similar in both platforms with reference being the most common function. Most app functions and content themes vary considerably by target audience. Social media apps are more common for patients and the public, while conference apps target physicians. CONCLUSIONS: We characterized existing medical apps and illustrated their diversity in terms of target audience, main functions, cost and healthcare topic. The resulting app database is a resource for app users, app developers and health informatics researchers. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1756-0500-7-573) contains supplementary material, which is available to authorized users. BioMed Central 2014-08-27 /pmc/articles/PMC4156621/ /pubmed/25167765 http://dx.doi.org/10.1186/1756-0500-7-573 Text en © Seabrook et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Seabrook, Heather J Stromer, Julie N Shevkenek, Cole Bharwani, Aleem de Grood, Jill Ghali, William A Medical applications: a database and characterization of apps in Apple iOS and Android platforms |
title | Medical applications: a database and characterization of apps in Apple iOS and Android platforms |
title_full | Medical applications: a database and characterization of apps in Apple iOS and Android platforms |
title_fullStr | Medical applications: a database and characterization of apps in Apple iOS and Android platforms |
title_full_unstemmed | Medical applications: a database and characterization of apps in Apple iOS and Android platforms |
title_short | Medical applications: a database and characterization of apps in Apple iOS and Android platforms |
title_sort | medical applications: a database and characterization of apps in apple ios and android platforms |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4156621/ https://www.ncbi.nlm.nih.gov/pubmed/25167765 http://dx.doi.org/10.1186/1756-0500-7-573 |
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