| Literature DB >> 35958972 |
Georgia Mitsi1, Todd Grinnell1, Suzanne Giordano1, Thomas Goodin1, Shahin Sanjar1, Elizabeth Marble1, Andrei Pikalov1.
Abstract
Multiple digital health technologies have been evaluated across clinical development programs, including external, wearable, implantable, and ingestible devices and sensors, along with digital mobile health applications (apps) that are accessible via users' personal electronic devices (e.g., smartphones, tablets, and computers). Several of these technologies have been incorporated into our ongoing neurology and respiratory clinical development programs. Based on our experience, one of the greatest potential benefits of digital health technologies is the ability to collect objective and/or biological data continuously or at regular intervals outside of office visits during a patient's normal daily activities to provide additional efficacy and safety information, versus data capture from traditional episodic, time point-based office visits. Many challenges encountered with digital health technologies can be successfully addressed by providing the appropriate training to staff and patients, ensuring availability of appropriate infrastructure support, and conducting pilot studies before scaling up to larger trials. Overall, our experience with digital health technologies demonstrated their potential to increase the amount of objective data collected in clinical trials, expand patient access to trials, and facilitate further improvement of clinical outcomes.Entities:
Keywords: Clinical trials; digital health technologies; machine learning; mobile applications; wearables
Year: 2022 PMID: 35958972 PMCID: PMC9341314
Source DB: PubMed Journal: Innov Clin Neurosci ISSN: 2158-8333