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In some sectors, where common business processes are run, quality and security of data play a paramount role. In order to better estimate if levels of quality and security of data are properly achieved, some process-focused methodological artifacts are required. Given the very nature of each sector, such artifacts should be conveniently adapted and parameterized to the specific problems. We are especially interested in Health Management, one critical sector in which there exist a lot of complexities. For instance, in Spain, hospitals located at the same region, they do use different data structure to manage users’ patient within different software applications for similar processes. To the best of our knowledge, there do not still exist such kind of artifacts that hospital managers could use to identify which processes are malfunctioning due to inadequate levels of quality and/or security in the data they use. In this paper, we present a framework that allow Health organizations to identify sources of malfunctioning of their more critical process in order to provide feasible plans to fix common errors. The framework named HC+ consists of an information model and a PDCA-based methodology.