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Using Data From a Multisensor Rapid Health Assessment Device to Predict Decompensation in Long COVID (AIDI)

Edith Nourse Rogers Memorial Veterans Hospital · 2022
ClinicalTrials.gov · Datasets · License: Public Domain · 2022
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asthmachronic-kidney-diseasecovid-19devicediabetesheart-failurehypertensionlong-covid
We are conducting a research study at the VA hospital in Bedford, MA to learn more about how a multisensor rapid health assessment device, MouthLab, can help predict or anticipate future health complications in patients with underline conditions after contracting COVID-19. The device was created by a health technology and digital medicine company called Aidar Health, Inc. MouthLab is a non-invasive, hand-held device that works like a breathalyzer. An individual breathes into the device for 60 seconds and the MouthLab gathers more than 10 vital health parameters like temperature, heart rate, SpO2, ECG, and basic lung functions. Participation in the study will last for 6 months, and the purpose is to gather health information from people who have been previously hospitalized with COVID-19. We will use the data to develop an algorithm that predicts future complications of COVID-19, especially among patients with complex conditions (i.e., heart failure, chronic kidney disease, diabetes, hypertension, asthma, chronic obstructive pulmonary disease), and enables early intervention.
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