Systems and methods for automated prediction of risk for perioperative complications based on the level of obstructive sleep apnea

Abstract

A system for predicting risk for perioperative complications is described including a user device for receiving a set of risk factors to determine perioperative complications for a patient including patient data useful to determine the likelihood of obstructive sleep apnea. The system also includes an acquisition module to receive data from an obstructive sleep apnea sleep study of the patient. Further a determination module can determine the severity of obstructive sleep apnea for the patient. The system can also include an analysis module having a predictive model that incorporates one or more prediction equations for predicting perioperative complications derived from one or more databases having multiple patient data relevant to predict perioperative complications. The analysis module can be configured to apply the one or more prediction equations to the set of risk factors and the severity of obstructive sleep apnea for the patient in order to identify perioperative complication risks of that patient and to generate a perioperative complications report for the patient.

1 . A system for predicting risk for perioperative complications comprising:
 a user device for receiving a set of risk factors to determine perioperative complications for a patient including patient data useful to determine the likelihood and severity of sleep apnea;   an acquisition module to receive data from a sleep apnea sleep study of the patient;   a determination module to determine the severity of sleep apnea for the patient; and   an analysis module having a predictive model that incorporates one or more prediction equations for predicting perioperative complications derived from one or more databases having multiple patient data relevant to predict perioperative complications, the analysis module configured to apply the one or more prediction equations to the set of risk factors and the severity of sleep apnea for the patient in order to identify and report the likelihood of perioperative complication risks of that patient.