pocus project web 2

Intelligent Network for Point-of-Care Ultrasound

Using technology to deliver equal access to life-saving ultrasound imaging.

Project Overview

Updated March 31, 2023.

The Problem

Ultrasound is a key clinical tool in the healthcare system. It helps provide an early diagnosis for many medical conditions, from urgent heart conditions to the progress of a pregnancy. 

Unfortunately, access to the life-saving diagnoses made possible with ultrasound is limited by the availability of machines and the ability to analyze their results. In British Columbia, for example, only 5 per cent of physicians are trained to interpret scans. As a result, up to 40 per cent of patients are unable to access specialized diagnostic tests or face long wait times.

This is driving the efforts of the Intelligent Network for Point-of-Care Ultrasound consortium, led by Providence Health Care in partnership with Change Healthcare, Clarius Mobile Health, the University of British Columbia and the Rural Coordination Centre of BC.

How We Are Solving It

The team is developing a bedside tool for doctors that combines machine learning, handheld ultrasound devices and a cloud-based platform to create an integrated and intelligent point-of-care ultrasound network. This project delivers faster, more accurate diagnoses to patients in rural, remote and urban areas.

The intelligent network provides visual feedback to family doctors and reduces the need for specialized training. The visual feedback will provide augmented assistance to the physician to make a diagnosis decision no matter where they are. The connected system will also load images centrally, making remote second opinions an easy option.

The digital solution is also saving money for the healthcare system and patients in smaller communities. It costs about $20,000 to transfer a patient from a rural area to an urban centre for urgent diagnostic imaging. For non-urgent ultrasound scans, especially first trimester obstetric ultrasound exams, patients are out of pocket when they must travel for hours by ferry or car.

The project is initially targeting physicians who treat heart and pregnancy patients in rural communities. The goal is to help Canada be a leader in integrated, point-of-care diagnostics while improving healthcare delivery and outcomes for Canadians.

The Result

  • Created a legacy of a highly integrated and functional PoCUS social networks accessible to B.C. and Canada’s broader healthcare workforce, so far consisting of 90
    point-of-care ultrasound devices in remote, rural and Indigenous communities throughout B.C.
  • Included an on-demand educational framework to accelerate uptake by frontline healthcare workers.
  • Deployed a data system to enable the Vancouver-based clinical expert team to ensure safe and quality care across B.C.
  • Created a unique data library of point-of-care echocardiography and obstetrics ultrasound. Leaders in artificial intelligence (AI) research will be able to continue to use this library to build AI solutions to provide scalable real-time support for our users.
  • Utilized this data library to develop and deliver three functioning AI modules to automatically discern key features within an ultrasound image that indicate image quality and type of ultrasound view, as well a host of clinically-relevant measurements from the data. These AI’s will be integrated directly with a PoCUS device, and thus empower users with limited PoCUS training to achieve, in real-time, the same diagnostic results as highly trained users.
  • Providing critical interventions in the care of rural residents, such as a patient of a midwife on Salt Spring Island, B.C. and resident of Haida Gwaii, B.C. (see Related Resource links for more).


Project Lead

  • providence healthcare

Project Partners

  • change healthcare
  • clarius web
  • rcc bc
  • ubc logo2

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