System and method for wound triaging and recommendations for treatments

A wound triaging and recommendation system for wound triaging and recommendation for treatments, the wound triaging and recommendation system comprising:

• a hardware processor;
• and
• a memory coupled to the hardware processor, wherein the memory comprises a set of program instructions in the form of a plurality of subsystems, configured to be executed by the hardware processor, wherein the plurality of subsystems comprises:
• a text and voice based conversational artificial intelligence (AI) subsystem configured to:
• obtain patient's medical data comprising at least one of:
• history of one or more diseases of a patient, family information of the patient, symptoms of the one or more diseases in the patient, and medicines consumed by the patient (104) through a user device of the patient;
• and
• determine data associated with at least one of:
• genetic predisposition, the one or more diseases influencing a wound, and a state of the wound based on an effect of a current medicine that the patient consumes based on the obtained patient's medical data using a machine learning algorithm;
• a wound image analytics subsystem configured to:
• collect images of the wound from the patient;
• classify the wound of the patient into a plurality of categories comprising at least one of:
• granulation, necrotic, and cellulitis based on the collected images of the wound from the patient using the machine learning algorithm;
• and
• determine severity and risk category of the wound based on the classification of the wound of the patient using the machine learning algorithm;
• an AI based text and image analytics subsystem configured to:
• obtain information associated with patient's clinical reports from the patient;
• and
• extract key clinical parameters and changes in the key clinical parameters over time from the patient's clinical reports by scanning the patient's clinical reports using optical character recognition techniques;
• and
• a patient treatment recommendation subsystem configured to:
• obtain at least one of:
• (a) the determined data associated with at least one of:
• the genetic predisposition, the one or more diseases influencing the wound, and the state of the wound based on the effect of the current medicine that the patient consumes, (b) the determined severity and risk category of the wound, and (c) the extracted key clinical parameters and the changes in the key clinical parameters over time from at least one of:
• the text and voice based conversational AI subsystem, the wound image analytics subsystem, and the AI based text and image analytics subsystem;
• obtain medical data and reports from other patients, wherein the medical data and reports of the other patients comprise past medical history of the other patients;
• and
• triage the wound to at least one of:
• identify the severity of the wound by qualifying risk score for the wound, provide wound prognostics for wound healing, and provide treatment recommendations associated with personalized therapeutic routes for healing the wound to the patient based on results outputted from at least one of:
• the text and voice based conversational AI subsystem, the wound image analytics subsystem, the AI based text and image analytics subsystem, and the medical data and reports from other patients.