Knowledge Centre

  • PHM & Telehealth at St. Joseph Health

    March 16, 2017

    Download our interview with Dr. Michael Marino, DO, MBA who is Chief, IS Operations/ Clinical Systems at St. Joseph Health. Dr Marino discusses how St. Joseph's has innovated on patient engagement, risk stratification and remote patient monitoring.
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  • Funding Analysis of Companies Developing Machine Learning Solutions for MI

    March 14, 2017

    There are over 50 start-up companies developing artificial intelligence solutions for medical imaging. Combined, these companies have raised over $100 million in funding. This short report from Signify Research shows the trends in capital funding for these companies and highlights how funding breaks down by company, by region and by clinical application.
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  • HIMSS 2017 Post Show Report

    March 10, 2017

    HIMSS is a world leading event which brings together 40,000+ health IT professionals, clinicians, executives and vendors from around the world.  During the event, leading edge technology was showcased by the healthcare IT industry.  The show report contains three insights covering Clinical IT, Population Health Management Market and an in-depth interview with St. Joseph Health.
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  • The PHM Competitive Environment

    January 10, 2017

    The affordable care act and the emergence of accountable care organisations (ACOs) have brought PHM to the forefront of the US healthcare IT industry agenda. This has brought with it a plethora of platform solutions aimed at addressing the need for population health management in its various forms. This white paper sets out to examine how the supplier base for population health management platforms in the US will develop over the coming years.
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  • RSNA 2016 Post Show Report

    December 9, 2016

    This show report presents the views from Signify Research's leadership team attending the 102nd Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA).  The show report contains three insights covering Imaging IT, Deep Learning in Imaging and Ultrasound.
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