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The Tipping Point of Virtual Care and Rise of Personal Health Data

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Event details

This webinar will explore virtual care and the use of patient health data through remote patient monitoring. 

In the UK and US alike, COVID-19 has accelerated the dramatic shift towards utilising digital health services and tools to virtually connect with and care for patients. 

Remote patient monitoring (RPM) offers providers the opportunity to remotely collect and utilise patients’ personal health data, such as data from their home-use medical devices and wearables, within care delivery efforts. These personal health data are providing deeper insight into patients’ physiologic health metrics, lifestyle decisions and behavioural trends while replacing the clinical data previously collected in-person. 

As health care organisations need to quickly scale virtual care to thousands of patients, clear best practices and lessons learned have emerged. 

This episode will deep-dive into the successful operations of the largest, centralised RPM programme, supporting over 3000 clinicians and more than 50,000 enrolled patients. We’ll delve into the most basic and complex challenges around patient-generated health data, patient consent, enrollment workflows, device logistics, patient and provider engagement, and more. 

This webinar will explore:

  • Core operations and technologies to a holistic virtual care strategy 
  • The clinical outcomes, patient and provider satisfaction, and efficiencies created with RPM
  • Best practices in digital health operations, data integration, analytics, and engagement
  • A model and framework for scaling virtual care and RPM to thousands of patients quickly 

A CPD certificate with 1 CPD credit will be issued to those joining the webinar live as well as those who watch the recording afterwards. Certificates will be issued 7 days after the webinar to those who watch it live and after 30 days for those that watch the recording. 

Join in the conversation online using #RSMDigiHealthBook here
Follow us on Twitter: @RoySocMed

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