Healthcare — payer operations
Regional payer reconciles 40K-provider network monthly in under an hour.
Credentialing team cut monthly roster reconciliation from 3 days to 45 minutes.
Monthly reconciliation time
3 days → 45 min
~96% time reduction
Match coverage
65% → 97%
NPI+specialty+state fallback catches the rows missing NPIs
Invalid NPIs caught
~120/month
Luhn validation flags typos that previously passed as 'matched'
Annual cost
$2,268
Business tier × 12 months
Company profile
Example scenario: regional health plan with ~40,000 in-network providers, ~15 delegated provider organizations sending monthly rosters, 3-person credentialing team.
The situation
What the team was dealing with
Every month, 15 delegated provider organizations send roster updates in 15 different formats. Some include NPI, some don't. Name formats vary (some with degrees, some without). Specialty codes use different taxonomies. The credentialing team was spending 3 days every month reconciling these against the internal master — and still missing ~5% of changes.
What they tried first
Approaches that didn't quite work
Excel VLOOKUP on NPI — worked for ~65% of rows (those with clean NPI); the remaining 35% were a manual slog.
A homegrown Python script — solved the NPI problem but broke on every new roster format.
DataMatch Enterprise — evaluated but quote came back at $45K/year plus implementation; too much for their budget.
How the Genie helped
What changed
Saved a match profile per delegated org with the right field mappings + specialty normalization + Luhn NPI validation.
Each monthly roster match runs in about 5 minutes on the Business tier — field mappings carry over from the last run.
Review queue surfaces the ~50 ambiguous rows per roster; the team works through them in an hour.
Audit trail: every match job is saved with source files + result summary, so CMS directory-accuracy questions have evidence.
“We used to dread the first week of every month. Now the delegated-roster reconciliation is a Monday-morning coffee task.”
— Credentialing operations lead, example scenario
This scenario maps to
NPI provider rosters
Payer-supplied rosters, delegated provider networks, and your internal directory never line up cleanly. The Genie matches providers by NPI (Luhn-validated), name + specialty, or address — whichever signals the rows have — and flags the roster rows that don't exist in your master for investigation.
See the full use-case pageLet the Genie handle the grunt work.
Free tier is real. No card. No forms. Just upload your first list and see the Genie clean and match it in under a minute.
