Hua Xu, Jon Duke, George Hripcsak, Nigam Shah, Noemie Elhadad, Karthik Natarajan, Anupama Gururaj
Agenda
Updates from Annual meeting
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
Updates from Annual meeting
Extensive interest from the OHDSI community with reference to the text processing aspect. During the meeting, suggestions for improvements in the current projects were received.
IRB for use of clinical text
IRB language pertaining to textual part of the record is being compiled from multiple sources.
Anu will collect and generate a generic document for use as an example.
Once approval of the document is obtained from the contributors, the document will be posted online for use by the OHDSI community.
Clinical text data storage and representation schema
Minimum set of modifiers for all clinical entities that support use of rule to derive clinical concepts will be generated by Alex (Columbia).
To classify the notes for the representation schema, metadata about the notes with note-type defined in detail and mapped to LOINC codes will be generated.
Note types from different institutions will be collected. George will share hierarchical note type metadata. Also, we will collect note type metadata from Josh Denny at Vanderbilt. All the collected material will be aggregated by Karthik.
NLP tools/pipelines for ETL
The plan is to develop a set of wrappers for multiple NLP tools (currently cTAKES and MetaMap) for conversion of output to the OHDSI textual data schema.
In order to get an idea of the updates in cTAKES< need to invite Guergana Savova to present and do a demo of cTAKES during the January call.
Use cases, e.g, phenotyping for cohort selection using NLP outputs
Discussion
projects/workgroups/wg_meeting_11042015.1448901361.txt.gz · Last modified: 2015/11/30 16:36 by anu_gururaj