DataFlow Discrepancy Explained | DataFlow Report Statuses & What to Do Next
Dr. Aneeha Zahid PT
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DataFlow Discrepancy Explained | DataFlow Report Statuses & What to Do Next
100 просмотров · 2 недели назад
Dr. Aneeha Zahid PT
54 подписчика
100 просмотров · 2 недели назад
What does a DataFlow discrepancy mean? Does a discrepancy mean your document is fake?
In this video, I explain the different DataFlow Primary Source Verification report statuses and exactly what they mean for healthcare professionals.
You will learn:
What a DataFlow discrepancy means
The difference between Discrepancy and Negative/Falsified
What Verified means
What Unable to Verify means
What to do after receiving a discrepancy
How Appeal and re-verification work
The important difference between an Appeal and submitting a new document
What supporting information may be required
The next steps you should consider after receiving your DataFlow result
DATAFLOW REPORT STATUSES:
VERIFIED — Information confirmed
DISCREPANCY — Information mismatch
NEGATIVE / FALSIFIED — Source does not confirm the document as genuine
UNABLE TO VERIFY — Verification could not be obtained
Always follow the latest requirements provided by DataFlow and your specific healthcare licensing authority.
For Prometric Exam Preparation & DataFlow Verification Assistance:
WhatsApp: +923204679014
Email: dr.aneehapt@gmail.com
Instagram: @dr_aneeha
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