Our AI Impact

 for the health of people

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 Our AI Impact

 for the health of planet

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 Our AI Impact

 for the health of business

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FOR THE HEALTH OF PEOPLE: EQUITY
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“The work [with Synaptiq] is unprecedented in its scale and potential impact,” Mortenson Center’s Managing Director Laura MacDonald MacDonald said. “It ties together our center’s strengths in impact evaluation and sensor deployment to generate evidence that informs development tools, policy, and practice.” 
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    ⇲ Implement & Scale
    DATA STRATEGY
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    A startup in digital health trained a risk model to open up a robust, precise, and scalable processing pipeline so providers could move faster, and patients could move with confidence after spinal surgery. 
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      PREDICTIVE ANALYTICS
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      Thwart errors, relieve in-take form exhaustion, and build a more accurate data picture for patients in chronic pain? Those who prefer the natural albeit comprehensive path to health and wellness said: sign me up. 
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        MACHINE VISION
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        Using a dynamic machine vision solution for detecting plaques in the carotid artery and providing care teams with rapid answers, saves lives with early disease detection and monitoring. 
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          INTELLIGENT AUTOMATION
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          This global law firm needed to be fast, adaptive, and provide unrivaled client service under pressure, intelligent automation did just that plus it made time for what matters most: meaningful human interactions. 
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            Mushrooms, Goats, and Machine Learning: What do they all have in common? You may never know unless you get started exploring the fundamentals of Machine Learning with Dr. Tim Oates, Synaptiq's Chief Data Scientist. You can read and visualize his new book in Python, tinker with inputs, and practice machine learning techniques for free. 

            Start Chapter 1 Now ⇢ 

             

              How Should My Company Prioritize AIQ™ Capabilities?

               

                 

                 

                 

                Start With Your AIQ Score

                  2 min read

                  Webinar: Machine Vision for Central Line Dressing Compliance

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                  In collaboration with Microsoft, Synaptiq has developed a first-of-its-kind demo solution leveraging AI and machine vision to proactively inform care teams of potential central line dressing compliance issues. According to the NIH, CLABSIs are largely preventable infections that occur in more than 400,000 patients annually in the United States alone, resulting in over 28,000 deaths and costing U.S. hospitals $2 billion. A key piece of preventing CLABSIs is maintaining Central Line dressings as clean and intact as possible.

                  This demo solution is designed to improve hospital workflow, patient outcomes, and speed of care, help reduce preventable deaths from hospital-borne infections (such as CLABSI), and help mitigate financial and reputational risk to hospitals. We were fortunate to be joined by Mariana Gattegno, an expert in Patient Quality and Safety, to demo the solution as part of Microsoft's Voices of Healthcare webinar series, which can be viewed here:

                   

                   

                  We're happy to announce that we've opened up our 2022 CLABSI Pilot Program to hospitals nationwide.

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