Kahun, an evidence-based clinical reasoning tool for physicians, launches a pilot integration with Tel Aviv Sourasky Medical Center Emergency Department (Ichilov Hospital), Israel's largest acute-care facility. By leveraging Kahun's chatbot tool, Sourasky offers its physicians and nurses pre-visit clinical insights that cover the patient's symptoms and leave more time to focus on the treatment plan during visits, reducing fatigue and burnout among the clinical team.
(Photo : ReBlonde)
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More than 7,000 nurses went on strike in New York City to protest stress and burnout among medical staff earlier this year, ending with a historic agreement among the hospitals involved to hire more nurses. But the strike and resulting deal are only the tip of the iceberg of what's to come in the widespread staffing challenges across the globe. The United States alone faces a shortage of up to 124,000 physicians by 2034, according to the Association of American Medical Colleges. The staffing shortage in Israel is particularly severe, with 10% fewer doctors per 1,000 people in the country compared to other developed nations, according to a recent OECD report.
The integration of Kahun's AI-based clinical reasoning tool tackles this challenge by empowering Sourasky's medical professionals to more effectively and efficiently assess a patient's clinical condition prior to the visit, as well as provide insights into a potential diagnosis and suggested next steps. Through its advanced XAI (explainable AI) engine, Kahun's solution performs clinical reasoning at scale by basing its dynamic clinical assessment on the company's proprietary map of over 30 million evidence-based medical insights.
Kahun's algorithmic engine utilizes this map in real time to generate clinical insights tailored to each specific patient. Insights are referenced and backed by links to originating knowledge. By basing its output on peer-reviewed medical literature, Kahun's clinical reasoning tool provides a gold-standard clinical assessment that removes human biases and variability in care. Regardless of the specific clinician treating a patient, the time of day, or any other variable, Kahun ensures they will be treated to the highest standard of medical care available.
"Our clinical reasoning tool really tackles multiple challenges at once," says Michal Tzuchman-Katz, Co-Founder and CEO of Kahun. "On the one hand, we're relieving burnout by providing pre-visit clinical insights before patient visits. By standardizing these pre-visit assessments, we're also eliminating bias and variability in care from the equation. We're thrilled to be the first to bring AI-based triage to Israel's largest acute-care facility."
"Medical staff burnout is one of the key problems facing the healthcare system in Israel," says Prof. David Seltzer, VP of Emergency Medicine at the Tel Aviv Sourasky Medical Center. "Kahun leverages AI to free up medical staff to perform medical operations that cannot be performed by AI systems, thus boosting the overall quality of care our patients receive. We welcome the use of digital means and AI as a tool to relieve the burden on medical staff, which will lead to improved patient care."
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