Let's Collaborate on the LGT Proof of Concept! - NIC LGT Call 10/18/19

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  • Working session notes 10/18/19

    Action Items:

    • Identify and reach out to additional experts
    • Connect with Jeff Jonas about MPIs  https://senzing.com/ (Paul Wormeli- Connection)
    • MiHin leaders
    • Connect with Dan Chavez about patient matching/proprietary 
    • Choicemaker (open-source matching product) - Contact Rick Hall, rphall@choicemaker.com
    • Start discussion on hub for topic of Patient Matching POC
      • identify/share resources, experts etc. 

    Action items from 10/11 that still need attention:

    • Note the mention of Sequoia's RCE kickoff call this week
    • Need common definition of Interoperability 


    • Michigan Health Information Network- dominant standards, will join call starting 10/25
    • Workgroup update coming soon 
      • IT industry + cross-domain information-sharing 

    Working Session: 

    • Catalog of services
    • Who are the users of services?
    • What’s missing:
      • Data scientist (local or federal level) - looking at from warehouse perspective for data coordination, real time
      • Genome data sets
      • Washington State:
        •  Department of Health - Pop’n health analysis
        • Department  of Social Services - building MPI 360 view of a citizen
    • Patient Matching Project:
      • Cross domains and logical next steps
        • Use case with basic building blocks in healthcare, education, housing
        • Added social services and juvenile justice
        • There is not just one approach
        • Exploratory stage continues
      • What about undocumented/non-citizens?
      • "unite" may be confused with unite.us, also in this space https://www.uniteus.com/ NOTE: Our project is UNIFY
      • MPI request response (multi-factor matching)
        • Comes back with possible matches
        • Confidence interval 
        • Protects against identity theft 
        • Probabilistic matching
        • National/global ID use as problem
        • MiHin token use- bundling of separate sets of info that belongs to same person (pseudo-identifier bundling)
        • Face recognition - many cities prohibiting
        • When to have algorithms be public?
        • Terms can be domain specific using metrics like- Precision and Recall
        • Match to highest level, instead of lowest
      • APIs
    • How to structure POC LGT meetings moving forward
      • Agree as group on action items of POC
      • What to include, what to exclude 
      • Determine core team and “observers”
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