A physIQ On Demand Webinar

Bringing Continuous Remote Patient Monitoring to NorthShore HealthSystem

When NorthShore University HealthSystem decided to explore using Continuous Remote Patient Monitoring (CRPM), they knew there was great potential for better patient care. With wearable sensors that collect continuous physiologic data streams becoming cheaper, more accurate and increasingly connected to cloud-based machine learning algorithms to identify perturbation, Northshore understood this could allow care providers time to intervene and prevent decompensation and readmission.

Northshore conducted an extensive evaluation of CRPM solutions with a clear set of requirements:

  • Noninvasive wearable sensors that collect near real-time, ambulatory vitals
  • A mobile device that collects patient-reported data
  • Machine-learning algorithms to identify patients at risk of physiological perturbation.

They identified physIQ as the ideal solution for their program.

In this webinar, NorthShore’s Nirav Shah and physIQ’s Karen Larimer will outline the process NorthShore undertook to implement their program, how physIQ supported the efforts, and the learnings and results that came from this partnership.


Please complete this form to access the video and slides.

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Gary Manning

Gary Manning

General Manager & Senior Vice President, Healthcare


Nirave Shah

Nirav Shah, MD

Medical Director of Quality Innovation and Clinical Practice Analytics, Program Director of Outcomes Research

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Karen Larimer Circle

Karen Larimer

Vice President, Clinical Development




Learning Objectives

By attending this webinar, you will learn how to: 

  • Recognize opportunities for home monitoring of high-risk patients using noninvasive monitoring technology
  • Uncover challenges to implement continuous monitoring with multi-provider workflow Discover how a human-centered approach engaging and empowering front-line workers, is crucial to implementing continuous remote patient monitoring
  • Examine key learnings from our heart failure continuous remote patient monitoring experience
  • Describe considerations for scalability of continuous remote patient monitoring