user experience Archives - Healthentia https://healthentia.com/tag/user-experience/ Sun, 22 Oct 2023 18:59:02 +0000 en-US hourly 1 https://healthentia.com/wp-content/uploads/2020/04/cropped-favicon_512-32x32.png user experience Archives - Healthentia https://healthentia.com/tag/user-experience/ 32 32 193384636 The Role of Big Data and Artificial Intelligence in Clinical Research and Digital Therapeutics https://healthentia.com/acceptance-and-potential-impact-of-the-ewall-platform-copy/ Mon, 28 Aug 2023 13:06:29 +0000 https://healthentia.com/?p=20080 CATEGORY: Artificial Intelligence, Big data, Clinical research, Real-World Data, Digital therapeutics SOURCE: Personalized Medicine Meets Artificial Intelligence. Springer, Cham. https://doi.org/10.1007/978-3-031-32614-1_6 The Role of Big Data and Artificial Intelligence in Clinical Research and Digital Therapeutics Kyriazakos S., Pnevmatikakis A., op den Akker H., Kostopoulou K. (2023), In: Cesario, A., D’Oria, M., Auffray, C., Scambia, G. (eds)...

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CATEGORY: Artificial Intelligence, Big data, Clinical research, Real-World Data, Digital therapeutics SOURCE: Personalized Medicine Meets Artificial Intelligence. Springer, Cham. https://doi.org/10.1007/978-3-031-32614-1_6

The Role of Big Data and Artificial Intelligence in Clinical Research and Digital Therapeutics

Kyriazakos S., Pnevmatikakis A., op den Akker H., Kostopoulou K. (2023), In: Cesario, A., D’Oria, M., Auffray, C., Scambia, G. (eds) Abstract Healthcare is among the pioneering industries in the velocity of generation of big data, from the time that Electronic Health Records, Internet-of-Things, and electronic medical devices have been introduced. Researchers around the world are curating large volumes of data and applying Artificial Intelligent (AI) algorithms that give meaning to medical conditions, as well as prediction of clinical outcomes. The clinical research domain, which has been a laggard in digital transformation, is running today at high speed, utilizing electronic solutions that enable capturing of Real-World Data (RWD) in decentralized virtual clinical studies that aim to shorten the life cycle of drug development and the associated costs. At the same time, the domain of Digital Therapeutics (DTx) has been recently established, with various electronic solutions that process RWD to provide digital interventions that improve health-related endpoints. In this chapter, we will review how clinical research and DTx domains have been accelerated by the existence of Big data and AI algorithms and we will describe smart services that are expected to further boost the healthcare industry. Keywords: Artificial Intelligence, Big data, Clinical research, Real-World Data, Digital therapeutics

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]]> 20080 Acceptance and Potential Impact of the eWALL Platform for Health Monitoring and Promotion in Persons with a Chronic Disease or Age-Related Impairment https://healthentia.com/acceptance-and-potential-impact-of-the-ewall-platform/ Wed, 29 Mar 2023 13:22:48 +0000 https://healthentia.com/?p=19768 CATEGORY: eHealth, Health monitoring, telemonitoring, COPD Remote patient monitoring SOURCE: Int. J. Environ. Res. Public Health 2020, 17(21), 7893; https://doi.org/10.3390/ijerph17217893 Acceptance and Potential Impact of the eWALL Platform for Health Monitoring and Promotion in Persons with a Chronic Disease or Age-Related Impairment Francesco Infarinato, Stephanie Jansen-Kosterink, Paola Romano, Lex van Velsen, Harm op den Akker, Federica Rizza, Marco Ottaviani, Sofoklis Kyriazakos, Beatrix Wais-Zechmann, Markus Garschall, Stefano Bonassi,...

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CATEGORY: eHealth, Health monitoring, telemonitoring, COPD Remote patient monitoring

SOURCE: Int. J. Environ. Res. Public Health 2020, 17(21), 7893; https://doi.org/10.3390/ijerph17217893

Acceptance and Potential Impact of the eWALL Platform for Health Monitoring and Promotion in Persons with a Chronic Disease or Age-Related Impairment

Francesco Infarinato, Stephanie Jansen-Kosterink, Paola Romano, Lex van Velsen, Harm op den Akker, Federica Rizza, Marco Ottaviani, Sofoklis Kyriazakos, Beatrix Wais-Zechmann, Markus Garschall, Stefano Bonassi, and Hermie J. Hermens

Abstract

Pervasive health technologies can increase the effectiveness of personal health monitoring and training, but more user studies are necessary to understand the interest for these technologies, and how they should be designed and implemented. In the present study, we evaluated eWALL, a user-centered pervasive health technology consisting of a platform that monitors users' physical and cognitive behavior, providing feedback and motivation via an easy-to-use, touch-based user interface. The eWALL was placed for one month in the home of 48 subjects with a chronic condition (chronic obstructive pulmonary disease-COPD or mild cognitive impairment-MCI) or with an age-related impairment. User acceptance, platform use, and potential clinical effects were evaluated using surveys, data logs, and clinical scales. Although some features of the platform need to be improved before reaching technical maturity and making a difference in patients' lives, the real-life evaluation of eWALL has shown how some features may influence patients' intention to use this promising technology. Furthermore, this study made it clear how the free use of different health apps is modulated by the real needs of the patient and by their usefulness in the context of the patient's clinical status.

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