LAMP: a monitoring framework for mHealth application research

Stach, Michael and Pflüger, Florian and Reichert, Manfred and Pryss, Rüdiger (2022) LAMP: a monitoring framework for mHealth application research. In: 11th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare, 1-4 November 2021, Leuven, Belgium.

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Official URL: https://doi.org/10.1016/j.procs.2021.12.229


The usage of mobile applications in healthcare has gained popularity in recent years. In 2018, at least, 10,000 apps related to mental health could be downloaded in the app stores. The popularity of healthcare apps, especially in the field of mental health, is based on in their simplicity in large-scale data collection scenarios used for the improvement of health-related services or research. For these apps, instruments to quantify the quality of an app and repositories for app quality ratings have emerged in recent years. What is rarely considered, however, is the degree of functional correctness of an app, which can have a serious impact on the data collection process and thus on data quality. The increasing restrictions of background services are a challenge for app developers, who need to implement recurring tasks reliably in the background, like the collection of longitudinal data based on questionnaires or sensor measurements. In this paper, we present a monitoring framework to investigate the degree of functional correctness regarding the background service implementation of apps based on notification events. With this framework, we want to enable the large-scale collection of app execution data in the wild to gain more insights into the execution of apps in different execution environments and configurations. The gained knowledge shall help to improve existing applications in the field of mental health and eventually to improve the degree of functional correctness of those apps.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:mHealth, Digital Phenotyping, Mobile Crowdsensing, Ecological Momentary Assessment, App Monitoring, Notification
Subjects:DBIS Research > Publications
ID Code:2091
Deposited By: Michael Stach
BibTex Export:BibTeX
Deposited On:14 Nov 2022 14:50
Last Modified:14 Nov 2022 14:50

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