the present invention relates to a system and method for automated extraction and display of past health care use to aid in predicting future health status . a system and method that converts raw medical and pharmacy claims data into hierarchical major clinical condition and place of treatment time - series data to facilitate the health assessment of a member &# 39 ; s total clinical conditions and aid in predicting his or her future health status . the hmcc categories are organized in body systems and likely disease progression to permit both spatio - temporal digital signal processing and the development of a dynamical learning system . each medical and pharmacy claim of the member is mapped onto one or more hmcc / pot - time cells . at the end of mapping , multiple entries in each hmcc - time cell are accumulated with the temporal resolution determined as a function of group size and temporal fidelity required for model building . individual hmcc / pot - time maps can be rolled up to a group level to facilitate employer - by - employer or market - by - market comparison so that clinical strategies can be tailored to each employer or geographic region . multiple nonlinear visualization mapping algorithms are provided to cope with highly nonlinear nature of claims cost data .