Let's Collaborate on the LGT Proof of Concept!

Oct 18, 2019 from 12:00pm to 1:30pm EDT
Location: Zoom information: https://zoom.us/j/432403895
Latest Activity: Oct 21, 2019

Agenda

This week’s Let’s Get Technical call will be a working session in which we’ll expand on our productive conversation of last Friday, which focused on Project Unify. For those who weren’t able to participate, this exciting initiative focuses on bringing together two efforts we had already been working on: cross-domain person-matching and developing a proof of concept for interoperability between health and human services.

We look forward to hearing many of your voices this Friday, if you want to participate, help shape the project or are simply interested in the subjects it covers. We’re very grateful and inspired by the high level of engagement in our LGT group, and will strive to continue providing content that provides value for everyone involved.

Mark your calendar for these upcoming activities/presentations in the coming weeks:

Tell your story, share your views and spread the word!

We look forward to your continued engagement. Feel free to add comments/thoughts/questions. Post a discussion, write a blog, and/or contribute your ideas for future discussion topics. We’ll take a few minutes during our next call to sort through these, prioritize them and identify who will lead each discussion. Invite your colleagues so they can join too.

About previous calls

Please note that we have posted the recording of the past LGT groups discussions for those who were unable to attend. Check them out!

Invite your colleagues and friends.

Daniel Stein & Dave Walsh

Join the LGT Group!

****************

We recommend that you use Zoom link or app to join the call. You will be able to enjoy the full experience; video and audio. You will see who is participating to the call and you can view what is shared on the screen.

Zoom information: https://zoom.us/j/432403895

One tap mobile:

+16468769923,,432403895# US (New York)
+16699006833,,432403895# US (San Jose)

Dial by your location:

+1 646 876 9923 US (New York)
+1 669 900 6833 US (San Jose)
+1 408 638 0968 US (San Jose)

Meeting ID: 432 403 895

Find your local number: https://zoom.us/u/ajpNBenE9

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

Updates:

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
  - Everything is proprietary
  - Exception of NY state, which is open
    - Tom Silvius
    - Ivy Pool
  - https://api.hslynk.com human services open API with match retrieval
    - https://en.m.wikipedia.org/wiki/Pluggable_authentication_module
  - FHIR - no patient matching
  - Service Discovery concept
  - Open source matching product mentioned was Choicemaker. Contact is Rick Hall, rphall@choicemaker.com
  - Choicemaker - used in NYC immunization registry
    - https://oscmt.sourceforge.io/
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”

Senzing delivers the first AI product for entity resolution to find who is who in data. Affordable, plug-and-play, and available as a desktop app or…

You need to be a member of The NIC Collaboration Hub to add comments!

Join The NIC Collaboration Hub

Comments

Navah Stein October 21, 2019 at 1:12pm
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
Updates:
- 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
  
  Everything is proprietary
  
  Exception of NY state, which is open
  
  Tom Silvius
  
  Ivy Pool
  
  https://api.hslynk.com human services open API with match retrieval
  
  https://en.m.wikipedia.org/wiki/Pluggable_authentication_module
  
  FHIR - no patient matching
  
  Service Discovery concept
  
  Open source matching product mentioned was Choicemaker. Contact is Rick Hall, rphall@choicemaker.com
  
  Choicemaker - used in NYC immunization registry
  
  https://oscmt.sourceforge.io/
- 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”
Senzing - The First Real Time, Plug n Play AI for Entity Resolution

Senzing delivers the first AI product for entity resolution to find who is who in data. Affordable, plug-and-play, and available as a desktop app or…

This reply was deleted.

Events

Let's Collaborate on the LGT Proof of Concept!

Comments

Join a Group for More...

Note: this page contains paid content.