Healthy by App: Towards a Taxonomy of Mobile Health Applications

Maike Greve; Stephan Diederich; Tim Benjamin Lembcke; Alfred Benedikt Brendel; Lutz M. Kolbe

Healthy by App: Towards a Taxonomy of Mobile Health Applications

Maike Greve, Stephan Diederich, Tim Benjamin Lembcke, Alfred Benedikt Brendel, Lutz M. Kolbe

University of Göttingen

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

Smartphones and apps have become natural companions with personal access to all areas of life. Especially, health apps have the potential to change the healthcare system and support the health of individuals. Their possible uses range from educating users on various illnesses, to storing and analyzing health-related data. Over the past decade, such apps have gained substantial popularity and new digital solutions are regularly introduced. While mobile health applications continue to attract the interest of the IS community, we lack an understanding of the existing variety of applications. In this study, we contribute to closing this research gap by developing a taxonomy based on a review of 150 most-downloaded health-related applications and identify 5 archetypes by means of a cluster analysis. The developed taxonomy contributes to organize and describe the variety of mobile health applications and the clusters illustrate archetypical applications and highlight gaps for future research in this domain.

Original language	English
Title of host publication	PACIS 2020 Proceedings
Editors	Doug Vogel, Kathy Ning Shen, Pan Shan Ling
Number of pages	14
Place of Publication	Atlanta, GA
Publisher	Association for Information Systems. AIS Electronic Library (AISeL)
Publication date	2020
Article number	217
ISBN (Electronic)	978173363253
Publication status	Published - 2020
Externally published	Yes
Event	24th Pacific Asia Conference on Information Systems: Information Systems (IS) for the Future, PACIS 2020 - Dubai, United Arab Emirates Duration: 20 Jun 2020 → 24 Jun 2020 Conference number: 24 https://www.pacis2020.org/

Conference

Conference	24th Pacific Asia Conference on Information Systems: Information Systems (IS) for the Future, PACIS 2020
Number	24
Country/Territory	United Arab Emirates
City	Dubai
Period	20/06/2020 → 24/06/2020
Internet address	https://www.pacis2020.org/

Keywords

App Store
Cluster analysis
Health applications
MHealth
Taxonomy

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Cite this

Greve, M., Diederich, S., Lembcke, T. B., Brendel, A. B., & Kolbe, L. M. (2020). Healthy by App: Towards a Taxonomy of Mobile Health Applications. In D. Vogel, K. N. Shen, & P. S. Ling (Eds.), PACIS 2020 Proceedings Article 217 Association for Information Systems. AIS Electronic Library (AISeL). http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1216&context=pacis2020

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title = "Healthy by App: Towards a Taxonomy of Mobile Health Applications",

abstract = "Smartphones and apps have become natural companions with personal access to all areas of life. Especially, health apps have the potential to change the healthcare system and support the health of individuals. Their possible uses range from educating users on various illnesses, to storing and analyzing health-related data. Over the past decade, such apps have gained substantial popularity and new digital solutions are regularly introduced. While mobile health applications continue to attract the interest of the IS community, we lack an understanding of the existing variety of applications. In this study, we contribute to closing this research gap by developing a taxonomy based on a review of 150 most-downloaded health-related applications and identify 5 archetypes by means of a cluster analysis. The developed taxonomy contributes to organize and describe the variety of mobile health applications and the clusters illustrate archetypical applications and highlight gaps for future research in this domain.",

keywords = "App Store, Cluster analysis, Health applications, MHealth, Taxonomy, Health Applications, mHealth, App Store, Taxonomy, Cluster analysis",

author = "Maike Greve and Stephan Diederich and Lembcke, {Tim Benjamin} and Brendel, {Alfred Benedikt} and Kolbe, {Lutz M.}",

year = "2020",

language = "English",

editor = "Doug Vogel and Shen, {Kathy Ning} and Ling, {Pan Shan}",

booktitle = "PACIS 2020 Proceedings",

publisher = "Association for Information Systems. AIS Electronic Library (AISeL)",

note = "24th Pacific Asia Conference on Information Systems: Information Systems (IS) for the Future, PACIS 2020 ; Conference date: 20-06-2020 Through 24-06-2020",

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}

Greve, M, Diederich, S, Lembcke, TB, Brendel, AB & Kolbe, LM 2020, Healthy by App: Towards a Taxonomy of Mobile Health Applications. in D Vogel, KN Shen & PS Ling (eds), PACIS 2020 Proceedings., 217, Association for Information Systems. AIS Electronic Library (AISeL), Atlanta, GA, 24th Pacific Asia Conference on Information Systems: Information Systems (IS) for the Future, PACIS 2020, Dubai, United Arab Emirates, 20/06/2020. <http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1216&context=pacis2020>

Healthy by App: Towards a Taxonomy of Mobile Health Applications. / Greve, Maike; Diederich, Stephan; Lembcke, Tim Benjamin et al.
PACIS 2020 Proceedings. ed. / Doug Vogel; Kathy Ning Shen; Pan Shan Ling. Atlanta, GA: Association for Information Systems. AIS Electronic Library (AISeL), 2020. 217.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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AB - Smartphones and apps have become natural companions with personal access to all areas of life. Especially, health apps have the potential to change the healthcare system and support the health of individuals. Their possible uses range from educating users on various illnesses, to storing and analyzing health-related data. Over the past decade, such apps have gained substantial popularity and new digital solutions are regularly introduced. While mobile health applications continue to attract the interest of the IS community, we lack an understanding of the existing variety of applications. In this study, we contribute to closing this research gap by developing a taxonomy based on a review of 150 most-downloaded health-related applications and identify 5 archetypes by means of a cluster analysis. The developed taxonomy contributes to organize and describe the variety of mobile health applications and the clusters illustrate archetypical applications and highlight gaps for future research in this domain.

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