Medical Language Processing: Applications to Patient Data Representation and Automatic Encoding

N. Sager; M. Lyman; N. T. Nhàn; L. J. Tick

doi:10.1055/s-0038-1634579

Methods of Information in Medicine, Table of Contents

Methods Inf Med 1995; 34(01/02): 140-146
DOI: 10.1055/s-0038-1634579

Original article

Schattauer GmbH

Medical Language Processing: Applications to Patient Data Representation and Automatic Encoding

Authors

N. Sager

¹Courant Institute of Mathematical Sciences and School of Medicine, New York University, New York, USA
M. Lyman

¹Courant Institute of Mathematical Sciences and School of Medicine, New York University, New York, USA
N. T. Nhàn

¹Courant Institute of Mathematical Sciences and School of Medicine, New York University, New York, USA
L. J. Tick

¹Courant Institute of Mathematical Sciences and School of Medicine, New York University, New York, USA

Abstract

Abstract:

A linguistic approach is presented to develop a representation of patient data. Semantic categories developed for computer processing of narrative clinical reports are shown to be similar to the Medical Concepts used manually to extract data from narrative in Exercises of the Computer-based Patient Record Institute. Clinical statement types composed of these categories are used in the Linguistic String Project (LSP) medical language processing (MLP) system to convert narrative information into relational database tables of patient information. A procedure for mapping the output of the LSP MLP system into SNOMED International codes was developed. Preliminary results and further requirements are discussed.

Keywords:

Natural Language Processing - Automatic Encoding - SNOMED - Clinical Data Representation

Full Text

References

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