Applying a natural language processing tool to electronic health records to assess performance on colonoscopy quality measures.
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A Review on the Quality of Colonoscopy ReportingImportance of determining indication for colonoscopy: implications for practice and policy originalDeveloping a natural language processing application for measuring the quality of colonoscopy proceduresApplication of electronic medical record data for health outcomes research: a review of recent literature.Natural language processing accurately categorizes findings from colonoscopy and pathology reportsEvaluation of smoking status identification using electronic health records and open-text information in a large mental health case register.Validation of natural language processing to extract breast cancer pathology procedures and results.Natural language processing as an alternative to manual reporting of colonoscopy quality metricsThe impact of exclusion criteria on a physician's adenoma detection rate.Public reporting of colonoscopy quality is associated with an increase in endoscopist adenoma detection rate.Relationship between detection of adenomas by flexible sigmoidoscopy and interval distal colorectal cancerElectronic Health Records and Quality of Care: An Observational Study Modeling Impact on Mortality, Readmissions, and Complications.Multi-center colonoscopy quality measurement utilizing natural language processing.Provider-specific quality measurement for ERCP using natural language processing.Challenges in adapting existing clinical natural language processing systems to multiple, diverse health care settings.Dense Annotation of Free-Text Critical Care Discharge Summaries from an Indian Hospital and Associated Performance of a Clinical NLP Annotator.Accurate Identification of Colonoscopy Quality and Polyp Findings Using Natural Language Processing.Identifying Metastases-related Information from Pathology Reports of Lung Cancer Patients.The Use of Evidence-Based, Problem-Oriented Templates as a Clinical Decision Support in an Inpatient Electronic Health Record System.What makes a "good" colonoscopy quality indicator?Physician characteristics associated with higher adenoma detection rate.Variation in Pathologist Classification of Colorectal Adenomas and Serrated Polyps.Anatomic and advanced adenoma detection rates as quality metrics determined via natural language processing.
P2860
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P2860
Applying a natural language processing tool to electronic health records to assess performance on colonoscopy quality measures.
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article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 04 April 2012
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Applying a natural language pr ...... colonoscopy quality measures.
@en
Applying a natural language pr ...... colonoscopy quality measures.
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type
label
Applying a natural language pr ...... colonoscopy quality measures.
@en
Applying a natural language pr ...... colonoscopy quality measures.
@nl
prefLabel
Applying a natural language pr ...... colonoscopy quality measures.
@en
Applying a natural language pr ...... colonoscopy quality measures.
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P2093
P2860
P1476
Applying a natural language pr ...... colonoscopy quality measures.
@en
P2093
Carrie Farmer
Evan S Dellon
Henk Harkema
Melissa Saul
Robert E Schoen
P2860
P304
1233-9.e14
P356
10.1016/J.GIE.2012.01.045
P407
P577
2012-04-04T00:00:00Z