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 ⇢ 


              How Should My Company Prioritize AIQ™ Capabilities?





                Start With Your AIQ Score

                  3 min read

                  Hospitals Face an Infection Control Problem. People + AI Can Solve It.

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                  Healthcare-associated infections (HAIs) affect 1.4 million people worldwide at any given time. That’s about 1 in 31 hospital patients. In the United States, HAIs cost hospitals $28-44 billion annually. Their indirect cost to patients and the public (e.g., preventable deaths, long-term complications, and decreased productivity) is even greater.

                  Most HAIs are preventable. However, a low rate of compliance with prevention guidelines:

                  • One study found that hand hygiene non-compliance averaged 50 percent in U.S. hospitals.

                  • Another found that 30 percent of ICU nurses were non-compliant with CLABSI* prevention guidelines.

                  *CLABSIs, or central line-associated bloodstream infections, are the deadliest and most costly HAI. [1] [2]

                  The Solution? People + Technology

                  On October 21st, we attended APIC 2022, an annual conference hosted by the Association for Professionals in Infection Control and Epidemiology. The theme was “Accelerating HAI Prevention.”

                  We presented an artificial intelligence (AI)-enabled solution for infection control specialists to ensure compliance with CLABSI prevention guidelines. We also had the pleasure of attending keynotes by infection control experts.

                  Watch the Demo Video

                  One of those experts inspired this blog: William Rutala, PhD, MS, MPH, presented on “Disinfection & Sterilization” (slides free-to-read HERE). Dr. Rutala emphasized the importance of adopting new technologies to compensate for human error in infection control. His presentation featured a powerful quote by Robert A. Weinstein, MD:


                  Given the choice of improving technology or improving behavior, technology is the better choice.


                  Hospitals can (and should) take steps to increase infection control compliance the old-fashioned way. But some degree of noncompliance is inevitable due to human error, and that’s where technology can make a huge impact.

                  Modern technologies like AI present an opportunity to improve patient experience and outcomes with automated compliance assurance. Dr. Rutala cited continuous room contamination as a successful case study. Self-cleaning surfaces circumvent the #1 cause of contamination: cleaning crew members.

                  The Way Forward for Healthcare Professionals

                  If you’re an infection control specialist, we recommend taking two steps.

                  First, explore Dr. Rutala’s resources regarding the most effective disinfection and sterilization procedures for HAI elimination. Second, reach out. We have the technology and expertise to solve your infection control problems.

                  We want to help. Let’s discuss.


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                  About Synaptiq

                  Synaptiq is an AI and data science consultancy based in Portland, Oregon. We collaborate with our clients to develop human-centered products and solutions. We uphold a strong commitment to ethics and innovation. 

                  Contact us if you have a problem to solve, a process to refine, or a question to ask.

                  You can learn more about our story through our past projects, blog, or podcast

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