; Disaggregating Diversity Data for Optimal Decision Making
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Disaggregating Diversity Data for Optimal Decision Making

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Before an organization can move toward diversity goals, its leadership must quantify its constituency and then determine the best way to meet the constituency's needs. An organization must disaggregate racial and ethnic data to understand the diversity of the population and to address unique population needs. Efforts to do so can be delayed when cost/benefit and data collection methods become barriers to analyzing the patient population. Disaggregating data means dividing aggregate data into its component parts. Research indicates that within racial groups, ethnic subpopulations have varying healthcare needs and differing barriers to care. Local communities usually have a consortium of business and philanthropic leaders who are interested in data to advance social policy and human needs and share a philosophy that better information produces better decisions. Diversity can be defined narrowly or broadly, based on the unique attributes of a provider's community and those stakeholders who are invested in the cultural, economic, and social life of an organization.

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