Asynchronous Vital Sign Telemetry and Predictive Decompensation Alerts: Machine Learning Models for Enhanced Remote Patient Monitoring and Intervention
Keywords:
asynchronous vital sign telemetry, predictive decompensation alerts, machine learning models, enhanced remote patient monitoringAbstract
Remote Patient Monitoring (RPM) is fundamental to long-term and preventive care. It allows healthcare professionals the capability to observe patients continuously and anticipate their needs. This can be particularly helpful for those with chronic diseases or patients who reside in rural settings, away from hospitals with specialty providers.Readership Data
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