Patent Document ID: 20030130973
Application ID: 10265599
Patent Flag: 0

Claim One:
1. A method for evaluating or educating a user comprising the steps of: (a) generating a plurality of parallel health state networks; (b) generating at least one first Bayesian network which describes each of the plurality of parallel health state networks; (c) generating at least one second Bayesian network which describes rates of progression within and/or between said plurality of parallel health state networks, and describes task factors that affect the rates of progression; (d) generating at least one third Bayesian network which supports reveal structures to limit display of patient test data to patient test data specifically requested by the user; (e) generating at least one fourth Bayesian network which supports plan critiques of queries of and treatment prescribed by the user; (f) scripting a knowledge base from the at least one first Bayesian network and the at least one second Bayesian network; (g) instantiating a model patient, at least in part, from the scripted knowledge base; (h) receiving one of a course of action and a query for a specific medical finding concerning the model patient from the user responsive to the instantiated model patient; (i) displaying, if the query is received, the specific medical finding to the user based at least in part on the at least one third Bayesian network, and repeating step (h); (j) evolving the model patient in accordance with the plurality of parallel health state networks and responsive to the received course of action; (k) repeating the steps (h) through (j) until the user has completed treatment of the model patient; (l) generating an optimum combination of treatment and queries based, at least in part, on the at least one fourth Bayesian network and the instantiated model patient; and (m) evaluating the query and the treatment by the user in comparison to the generated optimum combination of treatment and queries.