PHPlace: A new perspective on managing pelvic organ prolapse through mobile applications

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Date
2024-06-28
Authors
Mi, Yanlin
Rotem, Reut
Daykan, Yair
O’Reilly, Barry A.
Tabirca, Sabin
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Springer Nature
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Abstract
In the rapidly evolving field of digital health, the use of mobile health apps is increasing, which not only allows patients to be more actively involved in their health management and treatment but also significantly improves the efficiency of healthcare professionals. Yet despite the success of mHealth apps in a large portion of the field, there is room for improvement thrown in the field of pelvic organ prolapse (POP). Pelvic Health Place (PHPlace) is an example of a new mHealth app designed specifically for POP. It aims to improve patient comprehension and healthcare provider efficiency. These features include engaging animated presentations, a groundbreaking algorithm-based scoring system to measure the severity of a condition and versatile medical information management tools. In addition, by effectively localising the application, PHPlace transcends geographic constraints and extends healthcare services globally. Initial user feedback shows an impressive 90% improvement in users’ understanding of their POP condition and its associated treatments, signalling the success of the design implementation. This paper’s in-depth exploration of PHPlace provides a strategic blueprint for the design and development of future mHealth applications, setting a new standard for digital healthcare platforms.
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Keywords
Pelvic Organ Prolapse , mHealth , Medical animation , Questionnaire system
Citation
Mi, Y., Rotem, R., Daykan, Y., O’Reilly, B. A. and Tabirca, S. (2024) 'PHPlace: A new perspective on managing pelvic organ prolapse through mobile applications', in Cunha, A., Paiva, A. and Pereira, S. (eds.) Wireless Mobile Communication and Healthcare. MobiHealth 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 578, pp. 386-399. Springer, Cham. https://doi.org/10.1007/978-3-031-60665-6_29
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© 2024, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Published by Springer Nature Switzerland AG 2024. All Rights Reserved. This version of the paper has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-3-031-60665-6_29