Observational Health Data Sciences and Informatics

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====== Minutes_Meeting_03092016 ======

==== Attendees ====

Hua Xu, Jon Duke, George Hripcsak, Karthik Natarajan, Anupama Gururaj, Min Jiang, Alexandre Yahi, Noemie Elhadad, Juan M Banda, Olga Patterson, Scott DuVall, Vojtech Huser

==== Agenda ====

{{:projects:workgroups:nlp_wg_meeting_03092016.pdf|}}

  - Note-type mapping Presentation – Karthik
  - Share existing ontologies from Vanderbilt (Hua) and Regenstrief (Jon)
  - Share strategies for combining data from different searches – Jon
  - Report on WG for commenting – Hua
  - Wrappers for cTAKES and Metamap – Min
  - Improvements to search engine set up using MT samples – Min
  - Textual Data Representation – Discussion
  - Goals of 2016
  - Change of meeting time

===Minutes===

  - Note-type mapping Presentation – Karthik {{:projects:workgroups:ohdsi-nlp-wg1457551276.mp4|}}
        - INYP terminology services provides clinical document browser based on LOINC ontology for clinical notes. The paper describing the system is published and the pdf is attached. {{:projects:workgroups:loinc_note_mapping_paper.pdf|}}
        - the system allows for comparison of configs across different sites.
        - Vojtech also has looked into using LOINC ontology for note types. {{:projects:workgroups:loinc_note_types_marshall_clinic.pdf|}}
        - With reference to standard note types, one of the suggestions was to use it in the database for the output of the NLP system.
        - The note table in the OMOP CDM has a note type field with about 10 or so note types
        - 
        - Next steps:
          - Comparison of what aspects of LOINC is being used across different institutions.
          - One of the deliverable is to build a system that can map the institutional note type to the LOINC note types.
          - Update the note type field of the note table in OMOP CDM. Should a subset of LOINC document types be used for this purpose? this would depend on the real-world data from various institutions.
          - Ontologies such as CP, ICD-9 etc. that include more clinical terminologies should also be explored.
   - existing ontologies from Vanderbilt - Hua - {{:projects:workgroups:document-types.zip|}}

===Action Items===

  - Suggestion for OMOP model regarding NLP output - Hua/Noemie
  - 2016 OHDSI symposium - plan is to present the search engine, medical record viewer (a chart review tool) from Scott; any other suggestions?
  - Share strategies for combining data from different searches - Jon
  - Wrappers for cTAKES and Metamap - Min
  - Improvements to search engine set up using MT samples - Min
  - Textual Data Representation - Discussion
  - NLP system evaluation across different sites - Discussion