| Literature DB >> 35854744 |
Kendall Ho1, David Rivest-Henault2, Nooshin Jafari1, Michael Lim1, Aida Hassani1, Jennifer L Cordeiro1, Bruno Falardeau2, Linda Pecora2, Catherine Pagiatakis2, Faten M'hiri2, Di Jiang2.
Abstract
The COVID-19 pandemic presented challenges to the healthcare system while catalyzing the adoption of virtual care. The need for remote assessment and real-time monitoring of physiological vital signs has driven towards a need for virtual care solutions. This paper presents the outcome of a multidisciplinary collaboration to ensure clinical usability of a remote contactless sensing technology, VitalSeer, and to help close gaps between emerging technologies and clinical practice. The paper describes the user-centric data-driven clinical approach to address the needs as identified by clinical experts through the iterative and agile development cycle. It highlights findings from preliminary studies to validate proof-of-concept VitalSeer's adoptability, accessibility and usability. The studies on volunteers demonstrated the accuracy of VitalSeer's heart rate model at a low MAE of 0.74 (bpm) and a RMSE of 1.2 bpm, below the threshold of clinical grade contact-based sensors. The paper concludes with a discussion on the technology implications in emergency medicine and community care. ©2022 AMIA - All rights reserved.Entities:
Mesh：
Year: 2022 PMID： 35854744 PMCID： PMC9285145
Source DB: PubMed Journal: AMIA Annu Symp Proc ISSN： 1559-4076