Virtual Care: Transformational Change Agent for Our Times
Avoiding Alert Fatigue and Clinician Burnout While Scaling Virtual Care
Burnout and the rise of alert fatigue are big complications in scaling virtual care. Alert fatigue, however, isn’t a new concept. Virtual care technology companies need to take ownership of challenges like alert fatigue and make systems that are operationally scalable.
The "Learning" System: AI & Virtual Care
Elusive in the clinical setting, virtual care tools, coupled with AI, provide the opportunity to further understand the context behind patient data from the real world. According to Accenture, machine learning will save $150 Billion a year in healthcare costs by 2026.
Improving the Clinical Response to Patient Data
While many clinicians and health care providers are hesitant to integrate aspects of AI into their practice, patient-generated health data offers numerous benefits. With up-to-date, accurate data, clinicians can anticipate, diagnose, and treat patients more effectively.
Why Continuous Patient Data is the Key to Virtual Care
Virtual care provides a transformative path forward. By integrating continuous and trusted data from the home, clinicians can gain access to crucial biomarkers and functional markers; both of which can inform the patient’s health status course of treatment.
The Benefits of a Virtual Revolution Driven by Necessity
The need for virtual care has never been more imperative. Hospitals want to keep high-risk patients out of the hospital while also keeping them healthy, which has shaken the healthcare system out of its slow-moving evolution and propelled it into a revolution.
Virtual Care: The Transformational Change Agent This Moment Demands
With virtual care facing a decade of disruption in just a few weeks, clinicians have a choice: replicate in-clinic experiences or use new forms of data, telemetry, and machine learning to rapidly re-define the provision of care. The choice is ours.
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