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Digital Health Technologies and Innovations
Published in Kelly H. Zou, Lobna A. Salem, Amrit Ray, Real-World Evidence in a Patient-Centric Digital Era, 2023
Kelly H. Zou, Mina B. Riad, Shaantanu Donde, Joan van der Horn, Tarek A. Hassan
Digital health is a broad umbrella word that includes both digital medicine and DTx. Technology, processes, and platforms that engage “consumers” to maintain their lifestyle and wellness are referred to as digital health. Clinical operations and life sciences are supported by some digital health applications. Examples include wellness apps, telehealth, and clinical care administration and management tools.
Digital and Personalized Healthcare System for COVID-19 and Future Pandemics
Published in Ram Shringar Raw, Vishal Jain, Sanjoy Das, Meenakshi Sharma, Pandemic Detection and Analysis Through Smart Computing Technologies, 2022
Pandemics such as corona outbreaks need practical implementations for diagnostics and therapeutic purposes. Digital platforms for data coalition are a must when the response to such epidemics is robust and varied among individuals. Key challenges arise when the data has to be personalized to avoid potentially harmful and adverse drug reactions. Digital medicine provides a route to accessibility and affordability of quality care, especially where expert and analytical advice are limited. IoT and AI can prevent the spread of diseases, help diagnose the disease stage, and provide a timely decision to individuals in a more tailored approach.
Biostatistics
Published in Arkadiy Pitman, Oleksandr Sverdlov, L. Bruce Pearce, Mathematical and Statistical Skills in the Biopharmaceutical Industry, 2019
Arkadiy Pitman, Oleksandr Sverdlov, L. Bruce Pearce
The decade of the 2010’s has been characterized by significant advances in information science and technology, and the use of digital technology tools has increased tremendously in various areas of our life. Digital medicine is emerging as a new discipline, with its own hot areas of research. The penetration of digital technologies into pharmaceutical R&D is also evident—companies are trying to find innovative ways to streamline their drug development processes by leveraging the power of smartphones, wearable devices, cloud-based platforms for storing data, etc. Business models in which a big pharma company is partnering with an IT (startup) company become increasingly common. The outcomes of such partnerships can be truly creative products, such as a drug–digital combination Abilify MyCite, where an ingestible sensor is embedded into tablets of a psychiatric drug Ability to track compliance to medication. This “digital revolution” provides excellent opportunities for statisticians in the pharma industry, and we outline just a few of them.
Remote digital monitoring of medication intake: methodological, medical, ethical and legal reflections
Published in Acta Clinica Belgica, 2021
Wim Van Biesen, Johan Decruyenaere, Katerina Sideri, Julian Cockbain, Sigrid Sterckx
A recent systematic review found non-randomized controlled trials to evaluate Abilify Mycite, and, astonishingly, the FDA approval was based on three non-randomized non-comparative cohort studies. There was no evidence of any benefit of the digital over the non-digital version of aripiprazole [4]. Several clinical studies attempted to demonstrate the clinical and economic benefits of using digital medicines to improve outcomes in these patients. In a small open-label study (N = 109) an improved blood pressure control and Hb1Ac in patients with uncontrolled hypertension and type 2 diabetes after the introduction of an IEM was claimed [21]. However, these observations were made after a short period (4 and 12 weeks), so the sustainability of the small effect would require further clarification. Of note, already by week 4, 9 out of 82 patients in the intervention group had dropped out of the study. Remarkably, included patients were paid 150–525 dollars, depending upon the study arm. Furthermore, revision of in- and exclusion criteria, and expanding recruitment to non-English native speakers was needed to ensure recruitment, possibly pointing to a certain reluctance of patients to take part in a study with such a device. The results of a study of the combination of the Proteus system with Gilead’s HIV medication Truvada are currently still awaited [22]. Interestingly, this study was supported by Gilead, Proteus and the US National Institute of Mental Health.
Communication, learning and assessment: Exploring the dimensions of the digital learning environment
Published in Medical Teacher, 2019
Brent Thoma, Alison Turnquist, Fareen Zaver, Andrew K. Hall, Teresa M. Chan
The clinical learning environment has been studied to understand its impact on learning experiences for physicians in training and to test interventions that improve educational outcomes. Facilitated by enhancements in technology, digital medicine has taken on a progressively larger role in the work and lives of the medical profession and in the clinical environment. Communication via fax, telephone, and paper records has increasingly enhanced or been replaced by electronic messages and electronic health records (Mcelroy et al. 2013). The digital space also has emerged as a common space for learning through the publication of resources such as textbooks, guides, and medical journals available in electronic (Thoma et al. 2014) and open access formats (Cadogan et al. 2014; Thoma et al. 2014). Open access resources are particularly beneficial for education in resource-constrained environments (Frehywot et al. 2013; Thurtle et al. 2016). The growing use of digital resources has resulted in online communities of practice (Thoma et al. 2018; Ting et al. 2018), and increasing demands for physicians to be engaged in digital advocacy (Taichman et al. 2018). Trainee assessments are more frequent and are often aggregated into electronic portfolios (Chan et al. 2018). The emergence of the digital space as a source of learning and as a critical resource for clinical work can no longer be ignored.
The Ethics of Smart Pills and Self-Acting Devices: Autonomy, Truth-Telling, and Trust at the Dawn of Digital Medicine
Published in The American Journal of Bioethics, 2018
Craig M. Klugman, Laura B. Dunn, Jack Schwartz, I. Glenn Cohen
“Digital medicine is the transformation of health care that is coming about as computer technology is used in the creation and application of medical knowledge” (Shafer and Kigin 2002, 200). These technologies may provide a wide array of novel approaches in health care, including continuous and remote monitoring, digital phenotyping, remote disease management, and self-reporting, self-tracking, and self-management (Elenko et al. 2015). The Food and Drug Administration (FDA) folds digital medicine into the category of digital health, which is any “mobile health, health information technology, wearable devices, telehealth, telemedicine, and personalized medicine” (FDA 2017). Digital medicine devices are intimate in that they either touch the surface of a person’s body, or are ingested, inserted, or implanted into the body. They also record information that can be stored, tracked, and shared.