Portland, OR, March 15, 2022 (GLOBE NEWSWIRE) — Artificial intelligence solutions company Synaptiq has launched a computer vision pilot program to help improve speed of care, patient outcomes and reduce preventable deaths from hospital-transmitted central line-associated bloodstream infections. The pilot program integrates Microsoft Cloud for Healthcare and will start in spring 2022 and will last 3-6 months.
Central line placement is a common procedure in a hospital intensive care unit with life-saving applications. However, it is not without risk: central line associated bacteremia (CLABSI) occurs when bacteria or other harmful agents enter the bloodstream through a central line.
According to the NIH, these largely preventable infections occur in approximately 400,000 patients each year in the United States alone, resulting in more than 28,000 deaths and costing American hospitals $2 billion.
Healthcare workers follow protocols to prevent CLABSI and ensure the area around the Central Line dressing remains clean, dry and undisturbed. Patients and their families are also instructed to notify healthcare teams immediately if the dressing is not compliant. Caring for a patient with a central line requires careful attention to detail, but infections still occur in US intensive care units at a rate of 0.8 per 1,000 central line (CL) days. A “CL day” is a unit of time that measures how long a central line remains in a patient’s body.
Working with Microsoft, Synaptiq created a machine vision demo solution to proactively inform healthcare teams of potential Central Line dressing compliance issues. Computer vision is a type of artificial intelligence (AI) that allows computers to derive information from visual inputs. It can collect more accurate visual data than human vision ever could and uses processing power to analyze visual data faster and more thoroughly than the human mind.
Because visual cues play a vital role in keeping patients safe and preventing CLABSI, machine vision has the potential to exponentially improve healthcare teams’ ability to recognize and respond to possible infections – even before the human eye cannot detect the presence of a problem.
“Our goal for this pilot project is to leverage the extraordinary power of artificial intelligence, along with existing hospital care teams and Microsoft applications, to help hospitals mitigate the CLABSI problem,” said said Stephen Sklarew, CEO of Synaptiq. “As we continue to navigate the COVID-19 pandemic, when talking to hospital leaders about what is ‘keeping them up at night’, many cite CLABSIs as a top priority. Hospitals participating in our pilot program will have an exclusive early adoption opportunity to test the solution first-hand, and their care teams can help design the future solution that best meets their needs.
CLABSI’s AI-powered demo solution helps care teams identify potential dressing compliance issues and alerts them to investigate.
The demo solution is powered by Microsoft Cloud for Healthcare, which provides large-scale healthcare data management capabilities and enables healthcare organizations to more easily improve patient engagement and clinician experiences, strengthen healthcare team collaboration and improve clinical and operational information, while helping to support healthcare data security, compliance and interoperability.
Three applications are part of the CLABSI solution:
- CLABSI (Microsoft Power Apps) evaluation app
- CLABSI Team (Microsoft Teams)
- CLABSI Dashboard (Microsoft Power BI)
The CLABSI assessment app runs on a smartphone and is used to capture and analyze patient dressing photos. If a potential compliance issue is identified, the CLABSI team is alerted to take action. Over time, data from the provider’s electronic medical system accumulates information from the CLABSI assessment application and the patient’s medical record, and the CLABSI dashboard provides a series of predefined reports and ad reporting capabilities. hoc to analyze CLABSI trends.
“AI and computer vision technology are enabling companies like Synaptiq to reduce stress on healthcare teams, lower the cost of care and, most importantly, improve patient outcomes,” said Jean Gabarra, Vice President, Health & Life Sciences AI at Microsoft Corp. The CLABSI pilot program is a good example of how Microsoft Cloud for Healthcare can put advanced monitoring solutions in the hands of clinicians to enable better decision making and help deliver a superior patient experience.
For more information or to apply for the CLABSI 2022 pilot program, visit the Synaptiq website.
With more than 60 customers in 20 industries around the world, Synaptiq exists to build a better world for future generations through new machine learning and AI applications. We design human-centric AI solutions and products to solve some of the toughest business problems while upholding our strong commitment to ethics and transparency. Our team of management consultants, AI researchers, data scientists and product development experts are characterized by bold creativity, intellectual curiosity, a passion for impact and the audacity to innovate on problems that were thought impossible to solve. For more information about Synaptiq, please visit www.synaptiq.ai.
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