A limited data set may include certain demographic information such as age, gender, race, and geographic location, as well as dates related to healthcare (e.g., admission and discharge dates). It can also include other non-identifiable information that does not directly reveal the identity of individuals, like treatment information or health outcomes. However, it must exclude direct identifiers such as names, addresses, Social Security numbers, and any other personal information that could lead to individual identification. This approach helps ensure privacy while still allowing for valuable data analysis.
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