Phenotyping for patient safety: algorithm development for electronic health record based automated adverse event and medical error detection in neonatal intensive care

Phenotyping for patient safety: algorithm development for electronic health record based automated adverse event and medical error detection in neonatal intensive care

Item
http://www.wikidata.org/entity/Q34101840
Trends in biomedical informatics: automated topic analysis of JAMIA articlesRecent Advances in Clinical Natural Language Processing in Support of Semantic AnalysisEnsembles of NLP Tools for Data Element Extraction from Clinical Notes.Leveraging Food and Drug Administration Adverse Event Reports for the Automated Monitoring of Electronic Health Records in a Pediatric HospitalFindings from the Clinical Information Systems PerspectiveA knowledge-based, automated method for phenotyping in the EHR using only clinical pathology reports.Automated detection of medication administration errors in neonatal intensive care.Challenges in adapting existing clinical natural language processing systems to multiple, diverse health care settings.Automatic health record review to help prioritize gravely ill Social Security disability applicants.PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability.Content Coding of Psychotherapy Transcripts Using Labeled Topic Models.Clinical Informatics Researcher's Desiderata for the Data Content of the Next Generation Electronic Health Record.Translational Biomedical Informatics and Pharmacometrics Approaches in the Drug Interactions Research.Interventions to reduce medication errors in neonatal care: a systematic review.Designing and evaluating an automated system for real-time medication administration error detection in a neonatal intensive care unit.Trigger Tool-Based Automated Adverse Event Detection in Electronic Health Records: Systematic Review.The occurrence, types, consequences and preventability of in-hospital adverse events - a scoping review.
P2860

Phenotyping for patient safety: algorithm development for electronic health record based automated adverse event and medical error detection in neonatal intensive care

Item
http://www.wikidata.org/entity/Q34101840
description
2014 nî lūn-bûn
@nan
2014 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2014年の論文
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2014年論文
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2014年論文
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2014年論文
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2014年論文
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2014年論文
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2014年论文
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name
Phenotyping for patient safety ...... ion in neonatal intensive care
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Phenotyping for patient safety ...... ion in neonatal intensive care
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Phenotyping for patient safety ...... ion in neonatal intensive care
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type
label
Phenotyping for patient safety ...... ion in neonatal intensive care
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Phenotyping for patient safety ...... ion in neonatal intensive care
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Phenotyping for patient safety ...... ion in neonatal intensive care
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Phenotyping for patient safety ...... ion in neonatal intensive care
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Phenotyping for patient safety ...... ion in neonatal intensive care
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Phenotyping for patient safety ...... ion in neonatal intensive care
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Phenotyping for patient safety ...... ion in neonatal intensive care
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10.1136/AMIAJNL-2013-001914
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