Abstract: A method and apparatus for a clinical simulation system targets psychological phenomena that can negatively impact the decision making of both a clinician and a patient. Techniques include identifying an independently reasoning agent in a medical clinical information processing system configured to simulate interactions between a clinician and a patient. The method also includes determining, on the system, psychological profile data that indicates one or more personality traits for the agent. The method further includes storing psychological profile data on the system in a hierarchical data structure for a natural language processing system. The method still further includes determining simulation output from the system based at least in part on the psychological profile data.

Abstract: Techniques for delivering medical care include receiving normal data that indicates normal conditions in a patient. Abnormality data is received and indicates an abnormal condition, if any, in a patient. An instance of a virtual patient is generated based on the normal data and the abnormality data. The instance includes a physiological component that describes a sufficiently comprehensive physical state of a patient having the abnormal condition to simulate clinical measurements of the patient's condition. The instance also includes a cognitive component that describes a patient's awareness of symptoms, history of behavior and ability to convey information in response to queries. Action data is received from a trainee. Response data is generated based on the action data and the instance. Display data is presented based on the response data, and indicates information about the instance available as a result of the requested action.

Abstract: Techniques for delivering medical care include receiving normal data that indicates normal conditions in a patient. Abnormality data is received and indicates an abnormal condition, if any, in a patient. An instance of a virtual patient is generated based on the normal data and the abnormality data. The instance includes a physiological component that describes a sufficiently comprehensive physical state of a patient having the abnormal condition to simulate clinical measurements of the patient's condition. The instance also includes a cognitive component that describes a patient's awareness of symptoms, history of behavior and ability to convey information in response to queries. Action data is received from a trainee. Response data is generated based on the action data and the instance. Display data is presented based on the response data, and indicates information about the instance available as a result of the requested action.

Abstract: Hundreds of thousands of youths participate in racing sports in the United States. Racing sports, such as swimming, track and speed skating all use elapsed time as the primary measure of achievement. But an elapsed time by itself, such as 55.23 seconds, is of little value in determining if a particular performance was “good.” A “good” time for one age, gender, event, distance and/or race condition might not be a “good” time under a different set of factors. Various time standards have been created to rank athletic performances. These standards are generally set up to evaluate the performances of athletes within an age group which typically ranges from one to two years. Unfortunately, athletic performances vary widely within such age groups. It is very difficult to compare the performances of two athletes who have an age difference of a few months. The methodologies described herein will overcome the inherent approximations in these existing performance standard systems.