Abstract: A system and method for detecting and predicting surgical wound infections is disclosed. The method includes receiving wound site data, ambient data, reference site data and auxiliary data from one or more wearable devices, one or more sensing units or a combination thereof, a patient history data from electronic health record database, patient assessment data from a clinical professional, information associated with a patient from the patient or any combination thereof. The method further includes determining one or more desired parameters and extracting one or more features from the one or more desired parameters. The method includes applying the extracted one or more features into a trained Artificial Intelligence (AI) based data model and a trained statistical model for the patient. Further, the method includes detecting presence of an infection, predicting likelihood of infection and generating a wound infection score.

Abstract: A method and system for managing communication between a plurality of team members are provided. The method includes, at a first agent associated with a team member, receiving inputs from a team member about an event associated with one or more team members. The method further includes sending an event request to agents of one or more team members and receiving responses from them. Based on the responses, the first agent either cancels the event, schedules the event, or reschedules the event.

Abstract: A method and system for managing communication between a plurality of team members are provided. The method includes, at a first agent associated with a team member, receiving inputs from a team member about an event associated with one or more team members. The method further includes sending an event request to agents of one or more team members and receiving responses from them. Based on the responses, the first agent either cancels the event, schedules the event, or reschedules the event.