Thoracic post-surgical monitoring and complication prediction

A computing system comprising a processor configured to at least:

• determine a first threshold associated with a first thoracic post-surgical patient biomarker associated with a patient, wherein the first thoracic post-surgical patient biomarker is associated with a thoracic post-surgical complication;
• determine a second threshold associated with a second thoracic post-surgical patient biomarker associated with the patient, wherein the second thoracic post-surgical patient biomarker is associated with the thoracic post-surgical complication;
• obtain a first post-surgical measurement data associated with the first thoracic post-surgical patient biomarker and a second post-surgical measurement data associated with the second thoracic post-surgical patient biomarker, wherein the first post-surgical measurement data is received from a first wearable sensing system and the second post-surgical measurement data is received from a second wearable sensing system;
• monitor the first post-surgical measurement data and the second post-surgical measurement data, in real-time, for an amount of time by comparing the first post-surgical measurement data against the first threshold and comparing the second post-surgical measurement data against the second threshold;
• predict the thoracic post-surgical complication based on the monitoring of the first post-surgical measurement data and the second post-surgical measurement data;
• and
• based on the prediction of the thoracic post-surgical complication,
• generate a real-time notification wherein the real-time notification is configured to indicate the predicted thoracic post-surgical complication when the first post-surgical measurement data crosses the first threshold or the second post-surgical measurement data crosses the second threshold, and
• send a control program to a controllable device to alter at least one operating parameter of a chest tube system associated with the patient.