Process for Working on Data Exchange with MIIC

Follow these steps to work with the Minnesota Immunization Information Connection (MIIC) on initiating or enhancing an immunization data exchange.

On this page:
Registration
Queue and Prepare for Onboarding
Onboarding
Ongoing Exchange with Quality Assurance
Resources

Step 1. Registration

MDH Data Exchange Registration
Create a new registration or update an existing registration.  

Step 2. Queue and Prepare for Onboarding

Queue

MIIC staff will review submitted MIIC Data Exchange Worksheets to ensure all components are complete and accurate. Organizations with complete submissions will be placed in queue until MN.IT staff is ready to begin the onboarding process. Priority status is determined by:

  • Completion of the MIIC Data Exchange Worksheet and supplemental materials.
  • Desired data submission format and transport protocol (bi-directional exchange in HL7 2.5.1 using SOAP web services is preferred).
  • Enrollment in the MnVFC program.
  • Administration of a high volume of immunizations.
  • Submission of data for multiple organizations.
  • Organization type (e.g., primary care providers will be prioritized over specialty clinics).
  • How long an organization has been waiting in queue.

Prepare for Onboarding

Complete the MIIC Data Exchange Worksheet (PDF: 191KB/5 pages) to provide additional detail about the planned interface and the source system. For help filling out the worksheet, see the MIIC Data Exchange Worksheet Reference Guide (PDF:215KB/6 pages)

Prepare for immunization onboarding by:

Step 3. Onboarding

Organizations will receive an email invitation to onboard. The onboarding stage includes working closely with MN.IT technical staff to establish a project plan and timeline that will outline the steps it takes to set up and test the transport protocol, complete message format testing, and complete message content validation through a quality assurance process.

Step 4. Ongoing Exchange with Quality Assurance

Ongoing data submissions are routinely monitored. Organizations may be asked to address data quality issues that arise.

Resources

Updated Wednesday, June 17, 2015 at 01:17PM