Patent ID: 11923078
Assignee: TERUMO CARDIOVASCULAR SYSTEMS CORPORATION
Field: Medical technology (Instruments)
Classification: CPC G | IPC G

Claim 0:
1. A system for performing an open-heart surgical procedure on a patient, the system comprising:
a heart/lung machine;
one or more monitoring devices configured to monitor parameters indicative of conditions of the patient during the procedure;
a database storing:
first medical data describing medical information about the patient;
second medical data that summarizes health information of a general population of other patients; and
third medical data defining target ranges for operational parameters of the heart/lung machine and the one or more monitoring devices during the procedure; and

a computer system configured to receive in real-time during the procedure:
operational data from the heart/lung machine;
the parameters from the one or more monitoring devices;
the first medical data;
the second medical data; and
the third medical data,

the computer system further configured to, during the procedure, iteratively:
analyze: (i) the operational data from the heart/lung machine, (ii) the parameters from the one or more monitoring devices, (iii) the first medical data, and (iv) the second medical data; and
determine predictions, based on a comparison of the analysis of (i)-(iv) to the third medical data, that the operational data from the heart/lung machine or the parameters from the one or more monitoring devices are trending out of the target ranges,

wherein the computer system is further configured to generate, based on the predictions, a trained model for the procedure, wherein generating the trained model for the procedure comprises iteratively training a model for the procedure by correlating each of the predictions to (i) the operational data from the heart/lung machine, (ii) the parameters from the one or more monitoring devices, (iii) the first medical data, and (iv) the second medical data across one or more model layers using one or more machine learning algorithms, and wherein the computer system is further configured to determine the predictions that the operational data from the heart/lung machine or the parameters from the one or more monitoring devices are trending out of the target ranges based on applying the trained model for the procedure.