Literature DB >> 7949980

An information model for medical events.

D J Essin1, T L Lincoln.   

Abstract

Information gathered during the healthcare process is lost when forced into rigidly structured record-oriented databases. By contrast, content can be difficult to manipulate if stored as unstructured text. Spurred by the requirements of electronic publishing, military procurement and the Internet, new robust standards for structuring documents have been developed and deployed. These standards can provide a foundation for a document-based Electronic Medical Record System. In order to fully exploit this added flexibility, an information model is necessary to define both the direct and contextual content of documents. Once context, as well as fact, are recorded in formal structures, inferential techniques can either selectively extract knowledge and data from documents or aggregate data to create summaries so that all interested and authorized parties have a better chance of meeting their information needs from a single, permanent data source.

Mesh:

Year:  1994        PMID: 7949980      PMCID: PMC2247909     

Source DB:  PubMed          Journal:  Proc Annu Symp Comput Appl Med Care        ISSN: 0195-4210


  1 in total

1.  Intelligent processing of loosely structured documents as a strategy for organizing electronic health care records.

Authors:  D J Essin
Journal:  Methods Inf Med       Date:  1993-08       Impact factor: 2.176

  1 in total
  2 in total

1.  The HL7 Clinical Document Architecture.

Authors:  R H Dolin; L Alschuler; C Beebe; P V Biron; S L Boyer; D Essin; E Kimber; T Lincoln; J E Mattison
Journal:  J Am Med Inform Assoc       Date:  2001 Nov-Dec       Impact factor: 4.497

Review 2.  Generic data modeling for clinical repositories.

Authors:  S B Johnson
Journal:  J Am Med Inform Assoc       Date:  1996 Sep-Oct       Impact factor: 4.497

  2 in total

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