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Applying the Lab-EMR Interoperability Profile. Jan Flowers Technical Program Manager International Training and Education Center on Health University of Washington, Seattle, WA, USA jflow2@uw.edu. Applying the Lab-EMR Interoperability Profile.

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applying the lab emr interoperability profile

Applying the Lab-EMR Interoperability Profile

Jan Flowers

Technical Program Manager

International Training and Education Center on Health

University of Washington, Seattle, WA, USA

jflow2@uw.edu

applying the lab emr interoperability profile1
Applying the Lab-EMR Interoperability Profile
  • National HIV EMR (iSante) since 2006 (65 sites, ~60k patients in EMR)
  • OpenELIS as national lab system in 2010 (15 sites)
  • Partners In Health OpenMRS
lab profile simplified use cases in 3 implementation phases
Lab Profile – Simplified Use Cases(in 3 implementation phases)
  • Order Transmission on Paper
  • Results Transmission
  • Order Transmission on Paper
  • Identification of Patient in EMR
  • Result Transmission
  • Order Transmission
  • Identification of Patient in EMR
  • Identification of transmitted order
  • Result Transmission

Order (Paper)

ElectronicMedical

Record

Lab

Information

System

Demographic Query

Demographic Response

Test Result

facility level patient identification
Facility Level Patient Identification
  • PIX – Patient Identifier Cross-reference
  • PDQ – Patient Demographics Query
  • Patient search from LIS to EMR
  • Current Work
    • Results Interface from LIS to EMR
    • Lab Order Entry from EMR to LIS
what else can we do with patient identification
What Else Can We Do With Patient Identification?
  • Back to demographics – Useful for other HIS systems within the current facility!
  • SCMS EDT pharmacy tool
  • Now we have one patient record used in multiple places:
    • EMR LIS

Pharmacy

more patient identification
More Patient Identification
  • Biometrics and Fingerprinting
  • Now = verificationof patient, enrollmentof patient, and identity management
    • Facility level “Master Patient Index” (MPI/FPI)
    • All different processes
  • Noticed patterns in the process  same as other domains
    • Vital Registration
    • National health insurance (verify, enroll, status changes)
we have an architecture
We Have An Architecture!
  • These functions are useful across multiple systems and across different levels
  • We have the start of an eHealth architecture:
    • Well defined components
    • Well defined business rules
    • Standards based interoparability that implements the business rules with the components
what does this all mean
What does this all mean?
  • We have the start of an eHealth architecture:
    • Well defined components
    • Well defined business rules
    • Standards based interoparability that implements the business rules with the components

One approach to interoperability!

now what
Now what?
  • Organized collection of information at facility-level to make an architecture?

Next – talk about what to do with that data: reporting from the facility-level.