@inproceedings{b3fae767925846d0b45118932b6227f2,
title = "Generality and reuse in a common type system for clinical natural language processing",
abstract = "The aim of Area 4 of the Strategic Healthcare IT Advanced Research Project (SHARP 4) is to facilitate secondary use of data stored in Electronic Medical Records (EMR) through high throughput phenotyping. Clinical Natural Language Processing (NLP) plays an important role in transforming information in clinical text to standard representation that is comparable and interoperable. To meet the NLP requirement of different secondary use cases of EMR, accommodate different NLP approaches, enable the interoperability between structured and unstructured data generated in different clinical settings, we define a common type system for clinical NLP that integrates a comprehensive model of clinical semantics with language processing types for SHARP 4. The type system has been implemented in UIMA (Unstructured Information Management Architecture), which allows for flexible passing of input and output data types among NLP components, and is available at the SHARP 4 website.",
keywords = "clinical element models, clinical information standards, interoperability, medical semantics, natural language processing, uima",
author = "Wu, {Stephen T.} and Kaggal, {Vinod C.} and Savova, {Guergana K.} and Hongfang Liu and Dmitriy Dligach and Jiaping Zheng and Chapman, {Wendy W.} and Chute, {Christopher G.}",
year = "2011",
doi = "10.1145/2064747.2064755",
language = "English (US)",
isbn = "9781450309547",
series = "International Conference on Information and Knowledge Management, Proceedings",
pages = "27--34",
booktitle = "CIKM 2011 Glasgow",
note = "1st International Workshop on Managing Interoperability and compleXity in Health Systems, MIXHS'11, Collocated with the 20th ACM International Conference on Information and Knowledge Management, CIKM 2011 ; Conference date: 28-10-2011 Through 28-10-2011",
}