Eunice by Deep Structure im Vergleich zu MonitAir Health Nutzung und Statistiken

A patient-facing, HIPAA-compliant, app that allows patients to track their sleep data from their PAP (positive airway pressure) or NIV (non-invasive ventilator) device. The app integrates seamlessly with major cloud-based sleep devices to ensure patients have access to the same sleep data that their healthcare provider does, including important clinical metrics like AHI (apnea hypopnea index), device usage, and mask leak. By way of the app, users will not only be able to monitor their daily sleep data and their trends over time, but also communicate directly with their healthcare provider and staff to identify important sleep targets to ensure they are getting the most out of their PAP/NIV therapy. The app is a compliment to the MonitAir platform utilized by healthcare providers to ensure patients are being appropriately treated for their chronic sleep/respiratory conditions. We are not providers of any health care service. Our Platform or App is a useful tool in organizing, analyzing, and reporting certain data, but it is not intended to be, and is not, a substitute for the exercise of the professional medical judgment of practitioners. Your health professional is the single best source of information. Please consult them if you have any questions about your health or treatment. We take no responsibility for the medical or other information provided or conveyed via the Services or for the medical or clinical use that any health care practitioner may take on the basis of such information. By using the Services, you agree that we are not responsible or liable to you for any claim, loss, or damage arising from the Services or its use by you or any other user. Helpful Links: https://monitairhealth.com/ https://www.cms.gov/medicare-coverage-database/view/ncd.aspx?ncdid=226&ver=3 https://myair2.resmed.com/ https://www.mydreammapper.com/Account/LogOn?ReturnUrl=%2F https://pubmed.ncbi.nlm.nih.gov/17580592/ https://jcsm.aasm.org/doi/10.5664/jcsm.27133 https://pubmed.ncbi.nlm.nih.gov/30684472/