Integrating data from natural language processing into a clinical information system.

S B Johnson; C Friedman

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PubMed · 8947724

Integrating data from natural language processing into a clinical information system.

S B Johnson·C Friedman

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Abstract

Demographic data extracted from discharge summaries by natural language processing was compared to data gathered by a conventional hospital admitting system. Discrepancies in data were noted in names, age, sex, race, and ethnicity. Some differences are attributable to errors in collection: interaction with patient, dictation, transcription, and data entry. Very few differences were due to errors in natural language processing. Other differences can be used to critique existing data, or to enhance data with more detailed information. Discrepancies in data as elementary as patient demographics raise the issue of resolving conflicts when neither source of data is known to be more reliable. Clinical repositories can represent conflicting data from multiple sources, but clinical information systems must bear the cost of increased complexity in the application programs that will use the data.

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Evaluation Studies as Topic Hospital Information Systems Information Storage and Retrieval Medical Records Systems, Computerized Methods Natural Language Processing Patient Discharge Journal Article

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S B Johnson, C Friedman. 1996. Integrating data from natural language processing into a clinical information system.. https://pubmed.ncbi.nlm.nih.gov/8947724/

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