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Development of information systems for the systems health management domain are typically concerned with data collection assets, such as customer data systems or on-platform data recording devices, or the need for data warehouses to integrate copies of data from these sources. We propose that there exists a significant capability gap in this area - there is a need in the health management domain to manage information in support of engineering research and analysis, going well beyond the scope of typical decision support systems and data warehouses. This paper will explore this need within the context of the development and maturation of health management (HM) analytical processes and application development. We will examine the issues associated with aggregating, integrating, and mining information of the sort needed to support HM processes and suggest an evolutionary approach to improving the current means by which information support is provided.