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OBJECTIVE Develop a representation of clinical observations and actions and a method of processing free-text patient documents to facilitate applications such as quality assurance. DESIGN The Linguistic String Project (LSP) system of New York University utilizes syntactic analysis, augmented by a sublanguage grammar and an information structure that are… (More)
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… (More)
Selectional constraints specify, for a particular domain, the combinations of semantic classes acceptable in subject-verb-object relationships and other syntactic structures. These constraints are important in blocking incorrect analyses in natural language processing systems. However, these constraints are domain-specific and hence must be developed anew… (More)
The clinical data contained in narrative patient documents is made available via grammatical and semantic processing. Retrievals from the resulting relational database tables are matched against a set of clinical descriptors to obtain clinical profiles of the patients in terms of the descriptors present in the documents. Discharge summaries of 57 Dept. of… (More)
This paper describes the automatic extraction of information from hospital discharge letters. The computer analysis and extraction process, designed to eliminate much of the manual effort required to review patient documents, are presented.
Sublanguages _differ from each other, and from the "stan-dard Ian~age, in their syntactic, semantic, and discourse vrolx:rties. Understanding these differences is important'if-we are to improve our ability to process these sublanguages. We have developed a sen~.'-automatic ~ure for identifying sublangnage syntact/c usage from a sample of text in the… (More)
The Linguistic String Project (LSP) medical language processing (MLP) system converts narrative clinical reports into database tables of patient data. A procedure for mapping the output of the LSP MLP system into SNOMED III codes was developed. Preliminary results and further requirements are discussed.
A technique for monitoring healthcare via the processing of routinely collected narrative documentation is presented. A checklist of important details of asthma management in use in the Glasgow Royal Infirmary (GRI) was translated into SQL queries and applied to a database of 59 GRI discharge summaries analyzed by the New York University Linguistic String… (More)
The paper demonstrates several ways that medical language processing can be combined with emerging display technologies to facilitate the extraction of data from free-text patient documents. The techniques allow rapid review via highlighting of the results of processing. Coupling of text markup with further procedures is envisioned.
In this paper, we want to show how an existing morpho-syntactic analyser for Dutch (Dutch Medical Language Processor--DMLP) has been extended in order to produce output that is compatible with the language independent modules of the LSP-MLP system (Linguistic String Project--Medical Language Processor) of the New York University. The former can focus on… (More)