Linked Life Data

17238596

Source:http://linkedlifedata.com/resource/pubmed/id/17238596

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2007-1-22
pubmed:abstractText
Structured Clinical Documentation is a fundamental component of the healthcare enterprise, linking both clinical (e.g., electronic health record, clinical decision support) and administrative functions (e.g., evaluation and management coding, billing). One of the challenges in creating good quality documentation templates has been the inability to address specialized clinical disciplines and adapt to local clinical practices. A one-size-fits-all approach leads to poor adoption and inefficiencies in the documentation process. On the other hand, the cost associated with manual generation of documentation templates is significant. Consequently there is a need for at least partial automation of the template generation process. We propose an approach and methodology for the creation of structured documentation templates for diabetes using Natural Language Processing (NLP).
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1942-597X
pubmed:author
pubmed:issnType
Electronic
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
977
pubmed:dateRevised
2009-3-9
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Creation of structured documentation templates using Natural Language Processing techniques.
pubmed:affiliation
Clinical Informatics Research and Development, Partners Healthcare System, Wellesley, MA, USA.
pubmed:publicationType
Journal Article