HL7 Immunization User Group Monthly Meeting March 12, 2020 2:00 - PowerPoint PPT Presentation

HL7 Immunization User Group Monthly Meeting March 12, 2020 2:00 PM ET

Agenda • Welcome - Which perspective do you primarily identify yourself with? • AART User Group • Updates • SISC • FHIR • Five on FHIR • Error Code Review • M&I Testing for Error Handling • Interoperability Hurdles • HL7 FAQ

SISC Update Mary Woinarowicz

FHIR Update Nathan Bunker

FHIR Update • HIMSS20 was cancelled • Upcoming meetings: • May 16-22, 2020 – WGM & FHIR Connectathon – San Antonio TX • May be virtual, status update by April 15 • Jun 16-18, 2020 – HL7 FHIR DevDays – Cleveland OH • Sep 18-25, 2020 – WGM & FHIR Connectathon – Baltimore MD • Jan 16-22, 2021 – WGM & FHIR Connectathon – Henderson NV

Five on FHIR Danny Wise

Incoming/Ongoing Data Quality New Content Area Nathan Bunker 7

2 1 3 Content Area Transport Testing & Discovery Assessment Validation Submission / Assessment Validation Testing & Discovery Acknowledgment Assessment Query / Response Testing & Discovery Validation CDS Assessment Testing & Discovery Data Quality - Testing & Discovery Assessment Incoming/ongoing 8

Incoming/Ongoing Data Quality In Incoming/Ongoing Data we are ensuring that IIS can detect if trading partners (e.g., EHRs, pharmacies, etc.) are sending poor data 9

The Incoming and Ongoing Data Content Area Isn’t Entirely New… Tests what messages the system said they accept/return, and Submission if they’re & ACK conformant Testing and Discovery Tests what the system actually Incoming & did with the Ongoing messages… Data Quality 10

Incoming/Ongoing Data Quality Scope • In Scope • The IIS’s ability to detect data quality issues on a per message basis • The IIS’s ability to retain and return vaccination events from submission to query without changing the meaning • Out of Scope • Data quality monitoring of multiple messages (e.g., percentage of records submitted with phone number) • Patient or vaccine matching/deduplication algorithms • Address hygiene/cleansing 11

Measuring Data Element Data Quality Step 1 Step 2 Step 3 • Submit • Submit query • Analyze ACK intentionally for patient and RSP poor data • E.g., Missing, Invalid, or Conflicting Data 12

Example: Invalid DOB TEST PASS

Example: Invalid Phone OK TEST FAIL

Key Principle • For data quality problems the IIS should either: • Alert the sending system about the problem, or • Not propagate the data quality problem forward • IIS should: • Have logic in place to detect data quality problems. • After detection decide whether to: • Send back AE Error, asking submitter to fix and resent • Send back AW Warning, asking submitter to fix • Be silent on issue, but fix the data before storing • Not forward bad data on to other partners

Data Element Data Quality Issues • Missing data: These tests intentionally omit a data element and submit the record to the IIS. • e.g., The IIS detects the first name is empty • Invalid data: These tests intentionally submit an illogical value and submit the record to the IIS. • e.g., The IIS detects the phone number has an invalid value of “no phone” • Conflicting data: These tests intentionally submit HL7 messages per the HL7 Implementation guide, but the data within the message is illogical when compared against other data elements • e.g., The IIS detects the vaccination date is before the birth date 16

Patient Demographic Data Elements • Patient name: first • Patient address: zip code • Patient name: last • Patient address: state • Patient date of birth • Patient address: country • Patient gender • Patient telephone number • Patient ID • Patient telephone number type • Patient ID type • Patient status indicator – provider level • Race • Responsible person name: first • Ethnicity • Responsible person name: last • Patient multiple birth indicator • Responsible person relationship • Patient birth order to patient 17

Vaccination Event Data Elements • Vaccination administration date • Vaccine event ID • Vaccine product • Contraindications/precautions • Vaccine manufacturer • Contraindication/precaution observation date • Vaccination event record type • Exemptions/refusals • Vaccine expiration date • Exemption/refusal date • Vaccine funding source • Dose level eligibility 18

Interoperability Hurdles Tracy Little

AIRA Onboarding Recommendations https://repository.immregistries.org/resource/onboarding-consensus-based-recommendations/

Practice question • Go to www.menti.com and use code 94 43 19 • What is your favorite fruit? Share a challenge, solution, or story.

Step 1: Discovery & Planning • Registration • IIS Site Enrollment • Forms Completion • Other Pre-Prep Activities • Checklists • Self-service testing • Code comparisons

Step 2: Development and Testing • Connectivity and transport • Testing environments/platforms • Use of test data or production data • Volume of records needed for testing/validation • Technical vs. programmatic testing • Importance of ACKs • Self-service opportunities

Step 3: Production Approval • Production approval • Pre-production forms completion • Training (optional) • Move provider credentials to Prod

Step 4: Ongoing Monitoring • Short-term production monitoring • Long-term production monitoring • Re-onboarding triggers

Special: Query/Response • Differences in processes and procedures compared to standard interfaces (VXU only) • Discovery and Planning • Development and Testing • Production Approval and Monitoring • Additional steps

HL7 FAQ Tracy Little

Now Available on the AIRA Repository

Next Meeting April 9, 2020 2:00 pm ET / 11:00 am PT

More Information • Web Links • Subscribe to immunization group http://www.hl7.org/participate/UserGroups.cfm?UserGroup=Immunization • Public User Group Wiki http://www.hl7.org/special/committees/iug/index.cfm • Private User Group Wiki http://iugwiki.hl7.org/ • HL7 Press Release http://www.hl7.org/documentcenter/public_temp_F760602A-1C23-BA17- 0C0D326E635471F9/pressreleases/HL7_PRESS_20140402.pdf • AIRA Press Release http://www.immregistries.org/events/2014/04/10/hl7-immunization-user-group

Contact Information If you have any questions or comments: • Kim Salisbury-Keith Kim.SalisburyKeith@health.ri.gov • Nathan Bunker nbunker@immregistries.org • Kevin Snow ksnow@envisiontechnology.com • Danny Wise Danny.Wise@allscripts.com Thank you!