| abstract |
Systems and methods are provided for intraoperative real-time clinical decision support. A system includes a processor, a non-transitory computer readable medium, storing executable instructions, and an output device. An interface is configured to receive a first set of patient data in real-time from at least one sensor monitoring vital signals of a patient during a surgical procedure and a second set of patient data in real-time from an anesthesia machine during the surgical procedure. An input interface receives an indicator representing at least an identity of a therapeutic to be administered to the patient. A machine learning model determines from the indicator, the first set of patient data, and the second set of patient data if an alert should be provided to a user. The output device provides the alert to the user if the machine learning model determines that the alert should be provided. |