%0 Journal Article
%@ 1929-073X
%I JMIR Publications
%V 11
%N 2
%P e40655
%T Recommendations for Successful Implementation of the Use of Vocal Biomarkers for Remote Monitoring of COVID-19 and Long COVID in Clinical Practice and Research
%A Fischer,Aurelie
%A Elbeji,Abir
%A Aguayo,Gloria
%A Fagherazzi,Guy
%+ Deep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1A-B, rue Thomas Edison, Strassen, L-1445, Luxembourg, 352 26970230, aurelie.fischer@lih.lu
%K vocal biomarker
%K COVID-19 symptoms
%K digital health
%K remote monitoring
%K artificial intelligence
%K voice
%K COVID-19
%K Long COVID
%K digital health solution
%K voice-based technology
%K health technology
%K health monitoring
%K digital health monitoring
%K health care application
%K remote patient monitoring
%D 2022
%7 15.11.2022
%9 Viewpoint
%J Interact J Med Res
%G English
%X The COVID-19 pandemic accelerated the use of remote patient monitoring in clinical practice or research for safety and emergency reasons, justifying the need for innovative digital health solutions to monitor key parameters or symptoms related to COVID-19 or Long COVID. The use of voice-based technologies, and in particular vocal biomarkers, is a promising approach, voice being a rich, easy-to-collect medium with numerous potential applications for health care, from diagnosis to monitoring. In this viewpoint, we provide an overview of the potential benefits and limitations of using voice to monitor COVID-19, Long COVID, and related symptoms. We then describe an optimal pipeline to bring a vocal biomarker candidate from research to clinical practice and discuss recommendations to achieve such a clinical implementation successfully.
%M 36378504
%R 10.2196/40655
%U https://www.i-jmr.org/2022/2/e40655
%U https://doi.org/10.2196/40655
%U http://www.ncbi.nlm.nih.gov/pubmed/36378504