In Care Everywhere, which factor is essential to accurately identify patients across organizations?

• A. Number of clinicians in the facility
• B. Data encryption strength
• C. Correct patient matching rules
• D. Frequency of software updates

Answer: (C)

The essential factor is how patient identities are matched across systems. In Care Everywhere, accurate cross-organization identification depends on the rules and algorithms used to determine whether records from different sources refer to the same person. This involves an Enterprise Master Patient Index and both deterministic and probabilistic matching: exact comparisons on identifiers and demographics (like name, date of birth, sex, and cross-system identifiers) and, when exact matches aren’t available, a weighted combination of data elements to generate a match score. The rules decide when two records are linked as the same patient, when they should be kept separate, or when a manual review is needed. Correct matching rules ensure data from various places is merged correctly to form a single, complete patient history, which prevents data from being misattributed or duplicated.

Other factors—such as the number of clinicians in a facility, data encryption strength, or how often software updates occur—do not determine whether two records belong to the same person. Encryption secures data but doesn’t resolve identity across organizations, and updates or staffing levels affect security or functionality rather than the core process of correctly identifying patients.