TY - JOUR
T1 - Recommendations for Successful Implementation of the Use of Vocal Biomarkers for Remote Monitoring of COVID-19 and Long COVID in Clinical Practice and Research
AU - Fischer, Aurelie
AU - Elbeji, Abir
AU - Aguayo, Gloria
AU - Fagherazzi, Guy
N1 - Acknowledgments
The Predi-COVID study is supported by the Luxembourg National Research Fund (FNR) (Predi-COVID, grant 14716273), the André Losch Foundation, and the Luxembourg Institute of Health.
PY - 2022/11/15
Y1 - 2022/11/15
N2 - 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.
AB - 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.
UR - https://pubmed.ncbi.nlm.nih.gov/36378504
U2 - 10.2196/40655
DO - 10.2196/40655
M3 - Article
C2 - 36378504
SN - 1929-073X
VL - 11
JO - Interactive journal of medical research
JF - Interactive journal of medical research
IS - 2
M1 - e40655
ER -