Interoperability URL Review Automation
Description
Enable the team to save time and man hours, cost savings
Detailed example
• Verifying the submitted Interoperability URLs are active • Checking that hyperlinks within the Interoperability webpages are active • Reviewing URL Content for required standards and language • Entering review results into the Interoperability Review Round Workbook • Review of URLs submitted for Question 3 that provide conformant technical documentation for the Patient Access API • Interoperability URL entry into the Interoperability Review Round Workbook Technical review of a selected subset of the applications • Transferring review results from the Interoperability Review Round Workbook to MPMS • All Interoperability Justification Forms will be reviewed manually
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
Improve timeliness, Minimize review inconsistencies, Improve quality
Controls / human review
ATO: Not reported; PIA: Not published