Let the machines learn the way!

Because provider data is so broad & varies widely, machine learning has the power to better manage the complexity required to recognize & address overwhelming inconsistencies versus traditional manual, resource intensive processes.

eBook: Stop the cost tsunami in provider data cleansing

Find out how to avoid the resource and risk related costs of provider data cleansing.

Remove inaccuracies with provider data cleansing and verification services

​New CMS regulations will require health plans to verify and update provider directory information at least every 90 days, for both individual providers and facilities. Unverified providers must be removed from the directory and updates must be made within two days of receipt.

Provider Data Verification Service with Direct Outreach

We supplement data cleansing with good, old fashioned manual outreach to validate provider information and remove errors, duplicates, and obsolete information from your provider database. We use phone, email, mail, and fax communication to verify provider data.

It’s all in the details!
​Which is why we validate...

Provider status (e.g., accepting new patients, deceased or retired)

Company names & locations  (address, phone, fax & verification dates)

Practice, group & hospital affiliations

License number, state, type, status & end date

​DEA number, Business Activity Indicator & expiration/ deactivation date

Medical school & graduation year

CMS specialty code & sanctions

Provider names, genders, aliases

Taxonomies (including specialties)

​NPPES Health Care Provider Data (including NPI number & deactivation date)

Check. Cleanse. Check Again.

Inaccurate data poses unnecessary obstacles for consumers. providers, health plans, and partners who need access to reliable provider information.

Using our Provider Data Scorecard, we will start the provider data cleansing process by benchmarking the current state or your data.

​Next, our AI-enabled data profiling automates the identification of metadata and provides data matching right down to the single attribute level. Artificial Intelligence helps to ensure comprehensive data cleansing by mapping data from source to transformation, and final destination.

​Learn more in our provider data cleanse brochure.