Proceedings Article10.1109/BigComp57234.2023.00093
Data-driven Digital Therapeutics Analytics
Uichin Lee,Gyuwon Jung,Sangjun Park,Eun Yeol Ma,Heeyoung Kim,Yonggeon Lee,Youngtae Noh +6 more
- 01 Feb 2023
pp 386-388
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TL;DR: In this article , a data-driven digital therapeutics analytics framework is presented for analyzing and optimizing DTx delivery processes in everyday life contexts by leveraging passive sensor data analysis and human-in-the-loop interaction support.
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Abstract: Digital therapeutics (DTx), in contrast to traditional treatments such as pills, use software installed in smartphones or wearable devices as a medical device to cure diseases and improve health conditions, which represents a significant departure from existing wellness products such as Fitbits. DTx requires clinical validation of efficacy through systematic clinical trials, as do conventional therapeutics. Mobile DTx apps transform conventional treatment approaches such as counseling, self-help, and self-tracking into app-based micro-interventions that can be delivered via notifications, short videos, and chatbots. This article presents a data-driven DTx analytics framework for analyzing and optimizing DTx delivery processes in everyday life contexts by leveraging passive sensor data analysis and human-in-the-loop interaction support.
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Citations
Human centered design of AI-powered Digital Therapeutics for stress prevention: Perspectives from multi-stakeholders' workshops about the SHIVA solution
Marco Bolpagni,Susanna Pardini,Silvia Gabrielli +2 more
TL;DR: Multi-stakeholder workshops inform the human-centered design of AI-powered Digital Therapeutics (DTx) for stress prevention, addressing low adoption rates by incorporating user and stakeholder perspectives to enhance scalability and effectiveness of P5 Medicine.
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Methods for Evaluating the Content, Usability, and Efficacy of Commercial Mobile Health Apps
Danielle E. Jake-Schoffman,Valerie J. Silfee,Molly E. Waring,Edwin D. Boudreaux,Rajani S. Sadasivam,Sean P. Mullen,Jennifer L. Carey,Rashelle B. Hayes,Eric Y. Ding,Gary G. Bennett,Sherry L. Pagoto +10 more
TL;DR: Methods for evaluating the content, usability, and efficacy of commercially available health apps are summarized to increase adoption of commercial apps in clinical practice, inform the development of the next generation of apps, and ultimately increase the impact of commercialapps.