Data migration is the most technically risky part of the transition. Missing data creates revenue loss that is difficult to recover. The specific data sets that must transfer. Patient demographic data including name, DOB, gender, address, phone, email, relationship, and unique patient identifier. Insurance data including primary, secondary, and tertiary payers with plan type, policy number, group number, subscriber information, and effective dates. Encounter history including dates of service, CPT codes, ICD-10 codes, modifiers, charges, payments, adjustments, and write-offs for at least the past 12 months. Open
A/R detail at the claim level including service date,
payer, billed amount, payments to date, current balance, and aging bucket. Payer contract rates and fee schedules. Appointment history and scheduling data if integrated with the billing system.
Authorization history including auth numbers, payers, procedure codes, valid date ranges, and status.
Credentialing data including
NPI records, payer enrollments, and rendering provider assignments. Each data set has its own migration challenges. Patient demographics are usually straightforward. Insurance data often requires verification because data fields and enumeration differ across systems. Encounter history is typically complete if both systems use standard CPT and ICD-10. Open A/R is the highest value and highest risk category. Missing or incorrectly migrated A/R creates direct revenue loss.