Our AI Impact

 for the health of people



 Our AI Impact

 for the health of planet



 Our AI Impact

 for the health of business



“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
    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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      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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        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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          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 ⇢ 


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                  AI  in Healthcare: A Machine Vision Solution for Central Line Dressing Compliance

                  Inquire About the Pilot Program


                  AI for Hospitals that Improves Compliance on the Frontlines and Mitigates Risk


                  Synaptiq & Microsoft present a unique opportunity for innovative hospitals:

                  Monitor central line dressing compliance with artificial intelligence.

                  We developed a first-of-its-kind solution that uses an application of artificial intelligence called machine vision to proactively detect and inform care teams of central-line dressing compliance issues.

                  This is an amazing opportunity for hospitals already using Microsoft services to lower CLABSI rates while saving time and resources

                  Synaptiq is currently accepting applications from hospitals to join the pilot program and experience the future of medicine. 



                  Synaptiq's CLABSI pilot program is a good example of how Microsoft Cloud for Healthcare can put advanced monitoring solutions into the hands of clinicians to enable better decision-making and help provide superior patient experiences.

                  Jean Gabarra, Vice President, Health & Life Sciences AI at Microsoft Corporation

                  CLABSI PILOT

                  Central line dressing compliance can lower CLABSI rates, but it's not easy to ensure. Our solution uses machine vision to "see" when dressings change, and if they stay compliant. It doesn't remove people from the equation, it connects them across care teams to enable the best outcome for all.


                  If your hospital has been trying to lower CLABSI rates, or is using more expensive monitoring methods, such as having two nurses in the room for every dressing change, or the adoption of a dedicated CLABSI "auditor" to ensure compliance - this pilot program might be a good fit.

                  CLABSI Pilot Program Overview

                  The program takes place in five steps over a period of 3-6 months:

                  1. Set-up: Select care teams to participate in the pilot program.

                  2. Training: Collect and label training data.

                  3. Installation: Configure solution to existing hospital hardware and software.

                  4. Testing: Monitor care teams as they integrate the solution into their workflow.

                  5. Close-out: Collect feedback from care teams, analyze performance, and discuss next steps.

                  Inquire About the Pilot Program

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                  Yes, I am interested in learning about the 2023 Pilot Program

                  7 min read

                  Novel Machine Vision Solution Proactively Informs Care Teams of Potential Central-Line Dressing Compliance Issues

                  Synaptiq’s Demo Solution Leverages Artificial Intelligence to Improve Hospital Workflow & Training and Helps Mitigate...