====== Minutes_Meeting_01062016 ====== ==== Attendees ==== Hua Xu, Jon Duke, George Hripcsak, Karthik Natarajan, Anupama Gururaj, Mark Khayter, Min Jiang, Don Torok, Alexandre Yahi, Andrew Williams ==== Agenda ==== -IRB for use of clinical text -Clinical text data storage and representation schema -NLP tools/pipelines for ETL -Use cases, e.g, phenotyping for cohort selection using NLP outputs -Discussion ===Minutes=== - General IRB document for use of clinical text and approval from all contributors, post online - Almost completed - Collect minimum set of modifiers for all clinical entities that support use of rule to derive clinical concepts: Alex * cTAKES is being run on clinical notes programmatically. Alex will present the minimal model in the next meeting. - Aggregate and share note-type metadata from various sources: Karthik * LOINC note type mapping would be a very useful resource. We should generate hierarchical representation of note-types as an ontology. Karthik will present his work to date at the next meeting. * Existing ontology for note types to be shared : Vanderbilt (Hua) and Regenstrief (Jon) - Simple search set up for MT samples: MinPresentation * Presentation {{:projects:workgroups:clinical_text_search_engine_01_06.pdf|}} * The interface being developed should present a summary with visualization for patients/notes. * We will add Boolean query options to improve the search * We will implement a Ranking algorithm * Assign fake patient ID's to the notes to generate the visualization portion. * Generate a program like Circe to define the patient cohort * Next steps: How to move the data from textual searches stored in a table outside of OMOP to the OMOP? * Structured searches from CDW and textual searches can be combined using existing strategies. Jon will share the slides of his presentation on combining data from different searches * Run NLP on the ElasticSearch to extract information - Wrappers for cTAKES and Metamap - Report on the WG - Hua will generate and share with the members for comments - The best ways to represent textual data need to be determined ===Action Items=== - Minimal Model Presentation - Alex - Note-type mapping Presentation - Karthink - 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