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Artificial intelligence can spot potential deterioration before a human nurse or doctor could, and it can predict which patients will be readmitted

A new AI ‘Super Nurse’ monitors patients in Israeli hospital



A new AI ‘Super Nurse’ monitors patients in Israeli hospitalLook, it’s Super Nurse! Able to monitor multiple patients in separate rooms simultaneously; staying on top of their blood pressure, pulse and vital signs; and spotting signs of deterioration even before the patients feel it themselves. This medical superhero is not human, but rather a product of artificial intelligence, advanced software algorithms, sensors and cameras. And it’s being assembled right now at Tel Aviv Sourasky Medical Center.
The creation of an AI-powered “super nurse” is the result of a decade of steady work by Ahuva Weiss-Meilik and her team in the hospital’s I-Medata center. “Our doctors and nurses can’t be everywhere,” Weiss-Meilik tells ISRAEL21c. A thought no doubt being echoed across Chinese hospitals in the midst of the coronavirus outbreak right now. The situation is made even worse by chronic staff shortages in hospitals around the world, including those in Israel. If monitoring were the entire extent of Weiss-Meilik’s project, it wouldn’t be so potentially game-changing. But the I-Medata team is developing predictive algorithms that can determine, based on the camera and sensor data (a drop in blood pressure, for example), combined with information from a patient’s electronic medical record (EMR) and aggregated data, what a particular patient’s medical trajectory is most likely to be – and whether that patient should be given extra attention.-- More... The hospital is currently conducting a trial of Weiss-Meilik’s continuous monitoring technology with 24 patients in “regular” internal-medicine wards. They have all given their consent. (Big Brother may be watching but he has permission.) Sensors check patients’ blood pressure, heart and respiratory rate, while a camera watches at all times. The data is streamed to a central viewing station where hospital staff is alerted if a change develops.

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