What best practice helps prevent creating duplicate patient records in Epic ASAP?

What best practice helps prevent creating duplicate patient records in Epic ASAP?

• A. Run robust matching checks (name, DOB, demographics) and search for existing records before creating new ones.
• B. Always create a new patient record and merge later.
• C. Only check the name to detect duplicates.
• D. Ignore potential duplicates unless the account is blocked.

Answer: (A)

Preventing duplicate patient records comes from confirming the patient’s identity before creating a chart. The best approach is to run robust matching checks across multiple data elements—full name (including common variants), date of birth, demographics, and other identifiers—and actively search for existing records before a new chart is created. This helps catch potential duplicates even when there are small data differences, so you can join or merge into a single patient record rather than starting a new one. Keeping one accurate chart ensures the correct medical history, labs, medications, and billing are all tied together, reducing errors and data fragmentation. Relying only on the name, creating a new record and merging later, or ignoring potential duplicates until something blocks an account all fall short: they can miss important identifiers, risk misattributed data, and allow duplicates to proliferate, undermining data integrity and patient safety.

Preventing duplicate patient records comes from confirming the patient’s identity before creating a chart. The best approach is to run robust matching checks across multiple data elements—full name (including common variants), date of birth, demographics, and other identifiers—and actively search for existing records before a new chart is created. This helps catch potential duplicates even when there are small data differences, so you can join or merge into a single patient record rather than starting a new one. Keeping one accurate chart ensures the correct medical history, labs, medications, and billing are all tied together, reducing errors and data fragmentation.

Relying only on the name, creating a new record and merging later, or ignoring potential duplicates until something blocks an account all fall short: they can miss important identifiers, risk misattributed data, and allow duplicates to proliferate, undermining data integrity and patient safety.