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          Unified Health Profile

          Unified Health Profile

          A unified health profile is the holistic view of a patient that covers the different aspects of their health and healthcare. This multidimensional view is achieved by defining a parent category for your profile and then defining all the subcategories that contribute to its performance.

          Required Editions

          Available in: Enterprise and Unlimited Editions with Health Cloud

          A unified health profile is comprised of the following:

          • Score Category: The primary theme of a unified health profile. A score category is at the top level of a unified health profile.
          • Score Range Classification: The interpretations of different ranges of a category’s or subcategory’s scores. You can classify multiple score ranges for a category.
          • Subcategory: The components that together form the parent category or theme of a unified health profile. These subcategories are structurally the same as a score category because they’re defined using the same metadata type. But subcategories have parent categories, and score categories don’t. A unified health profile’s score category can have up to two levels of subcategories, and each category or subcategory can have up to three subcategories under it.
            Note
            Note The scores of subcategories don’t roll up to the score of a parent category. Scores for all categories levels are derived by their associated calculated insights in Data 360. If you need scores for subcategories to roll up to higher levels, you have to explicitly configure your score calculation logic to function that way.

          If you use Data 360 as your score calculation system, you also have mappings that connect categories and subcategories to their associated calculated insights.

          Important
          Important The use of certain sensitive data such as age, gender identity, or race, as well as others in the calculation of a Unified Health Score may introduce bias into your scores and predictions. We suggest you select these attributes thoughtfully, consistent with your organization's best practices for bias mitigation.
           
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