Integrated contact tracing platform

A system, comprising:

• a memory storing instructions that implement an application for reconciling electronic health records of a patient;
• and
• a processing device communicatively coupled to the memory, the processing device capable of executing the application to:
• generate, with a cognitive artificial intelligence engine, one or more machine learning models trained to determine a likelihood that a person has contacted an infectious medical condition during a contact with an infected participant, wherein the cognitive artificial intelligence engine is configured to train the one or more machine learning models with training data comprising medical information related to medical tests on participants including at least one selected from the group consisting of types of the medical tests, results of the medical tests, licenses of medical personnel administering the medical tests, degrees of the medical personnel administering the medical tests, and timestamps of the medical tests;
• receive location information associated with a first participant in a contact tracing protocol;
• receive medical information associated with the first participant, the medical information indicating the first participant has contracted the infectious medical condition;
• identify, based on the location information, a plurality of participants in the contact tracing protocol who came into contact with the first participant during a contagious period associated with the infectious medical condition;
• receive medical information associated with a second participant of the plurality of participants, the medical information related to the infectious medical condition;
• determine, using the one or more machine learning models and based on the medical information associated with the second participant, a likelihood that the second participant has contracted the infectious medical condition from the first participant;
• and
• generate a notification for each participant of the plurality of participants indicating a potential exposure to the infectious medical condition.

A tangible, non-transitory computer-readable medium storing instructions that, when executed, cause a processing device to:

• generate, with a cognitive artificial intelligence engine, one or more machine learning models trained to determine a likelihood that a person has contacted an infectious medical condition during a contact with an infected participant, wherein the cognitive artificial intelligence engine is configured to train the one or more machine learning models with training data comprising medical information related to medical tests on participants including at least one selected from the group consisting of types of the medical tests, results of the medical tests, licenses of medical personnel administering the medical tests, degrees of the medical personnel administering the medical tests, and timestamps of the medical tests;
• receive location information associated with a first participant in a contact tracing protocol;
• receive medical information associated with the first participant, the medical information indicating the first participant has contracted the infectious medical condition;
• identify, based on the location information, a plurality of participants in the contact tracing protocol who came into contact with the first participant during a contagious period associated with the infectious medical condition;
• receive medical information associated with a second participant of the plurality of participants, the medical information related to the infectious medical condition;
• determine, using the one or more machine learning models and based on the medical information associated with the second participant, a likelihood that the second participant has contracted the infectious medical condition from the first participant;
• and
• generate a notification for each participant of the plurality of participants indicating a potential exposure to the infectious medical condition.