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A two phased approach to the statistical and mathematical analyses of cardiology data distributed over many large (Hewlett-Packard Image 1000) computer data bases is presented. During the first phase, patients satisfying specified criteria in each of the data bases are selected and specific data of these patients requierd for analyses during the second phase are retrieved and merged into a single random access file. During the second phase, statistical and mathematical analyses of the merged data is performed and the results are reported. Both phases are accomplished using global data management commands. The approach presented allows data from many distinct applications to be merged and interrelated in a reasonable time frame without making a priori decisions on data base applications.