In deduplication, what data elements are used to merge records into a single canonical record?

In deduplication, what data elements are used to merge records into a single canonical record?

• A. Only hospital ID and diagnosis date.
• B. Only site and histology.
• C. Name and birth year.
• D. Identifiers, dates, sites, and histology used to merge records into a canonical single record.

Answer: (D)

Deduplication relies on bringing together multiple matching data elements to merge several reports into one canonical record. Using identifiers links records from different sources to the same patient or cancer event. Dates help align when the cancer was diagnosed or reported, reducing confusion between separate events. The site of the tumor confirms the same anatomical location, important when a patient has multiple primaries or reports from different facilities. Histology provides the tumor type, helping distinguish distinct cancers that might share a site or date. When these elements are considered together, they create a reliable basis to identify true duplicates and merge them without conflating separate cases. Relying on only one or two elements (as in the other options) can lead to incorrect merges or missed duplicates because those elements alone may not uniquely identify the same event across sources.

Deduplication relies on bringing together multiple matching data elements to merge several reports into one canonical record. Using identifiers links records from different sources to the same patient or cancer event. Dates help align when the cancer was diagnosed or reported, reducing confusion between separate events. The site of the tumor confirms the same anatomical location, important when a patient has multiple primaries or reports from different facilities. Histology provides the tumor type, helping distinguish distinct cancers that might share a site or date. When these elements are considered together, they create a reliable basis to identify true duplicates and merge them without conflating separate cases. Relying on only one or two elements (as in the other options) can lead to incorrect merges or missed duplicates because those elements alone may not uniquely identify the same event across sources.