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Adans-Dester, Catherine P.; Bamberg, Stacy; Bertacchi, Francesco P.; Caulfield, Brian; Chappie, Kara; Demarchi, Danilo; Erb, M. Kelley; Estrada, Juan; Fabara, Eric E.; Freni, Michael; Friedl, Karl E.; Ghaffari, Roozbeh; Gill, Geoffrey; Greenberg, Mark S.; Hoyt, Reed W.; Jovanov, Emil; Kanzler, Christoph M.; Katabi, Dina; Kernan, Meredith; Kigin, Colleen; Lee, Sunghoon I.; Leonhardt, Steffen; Lovell, Nigel H.; Mantilla, Jose; McCoy, Thomas H.; Luo, Nell Meosky; Miller, Glenn A.; Moore, John; O'Keeffe, Derek; Palmer, Jeffrey; Parisi, Federico; Patel, Shyamal; Po, Jack; Pugliese, Benito L.; Quatieri, Thomas; Rahman, Tauhidur; Ramasarma, Nathan; Rogers, John A.; Ruiz-Esparza, Guillermo U.; Sapienza, Stefano; Schiurring, Gregory; Schwamm, Lee; Shafiee, Hadi; Kelly Silacci, Sara; Sims, Nathaniel M; Talkar, Tanya; Tharion, William J.; Toombs, James A.; Uschnig, Christopher; Vergara-Diaz, Gloria P.; Wacnik, Paul; Wang, May D.; Welch, James; Williamson, Lina; Zafonte, Ross; Zai, Adrian; Zhang, Yuan-Ting; Tearney, Guillermo J.; Ahmad, Rushdy; Walt, David R.; Bonato, Paolo
IEEE open journal of engineering in medicine and biology, 01/2020, Letnik: 1Journal Article
Goal: The aim of the study herein reported was to review mobile health (mHealth) technologies and explore their use to monitor and mitigate the effects of the COVID-19 pandemic. Methods: A Task Force was assembled by recruiting individuals with expertise in electronic Patient-Reported Outcomes (ePRO), wearable sensors, and digital contact tracing technologies. Its members collected and discussed available information and summarized it in a series of reports. Results: The Task Force identified technologies that could be deployed in response to the COVID-19 pandemic and would likely be suitable for future pandemics. Criteria for their evaluation were agreed upon and applied to these systems. Conclusions: mHealth technologies are viable options to monitor COVID-19 patients and be used to predict symptom escalation for earlier intervention. These technologies could also be utilized to monitor individuals who are presumed non-infected and enable prediction of exposure to SARS-CoV-2, thus facilitating the prioritization of diagnostic testing.
