Dynamic injection of medical training scenarios based on patient similarity cohort identification

A computer-implemented method, comprising:

• retrieving a medical information record for a patient from a patient medical database:
• receiving a procedure request for a patient;
• identifying, by a machine learning system, a cohort for the patient based on the medical information record:
• identifying, by the machine learning system, a cohort risk factor that is related to the procedure request based on the identified cohort:
• determining a probability of occurrence for the cohort risk factor;
• automatically altering a surgical simulation corresponding to the procedure request to include an occurrence of the cohort risk factor in response to a probability of occurrence exceeding a predetermined threshold;
• executing a surgical simulation scenario that performs an interactive simulation of the procedure that is adapted to the patient by including the altered surgical simulation, wherein the surgical simulation scenario is performed by a medical professional in preparation for the procedure;
• updating the patient medical database with an outcome of a real-world surgery corresponding to the procedure request;
• incorporating the outcome into future identifications by the machine learning system,
• making a customized workplace in which the surgical simulation scenario is performed using a 3D printing process;
• and
• altering the surgical simulation by generating a physical element of the customized workplace that has characteristics that are specific to the identified cohort by controlling the 3D printing process using parameters pertaining to the characteristics.