JOURNAL ARTICLE

Detecting inpatient falls by using natural language processing of electronic medical records

Shin‐ichi Toyabe

Year: 2012 Journal:   BMC Health Services Research Vol: 12 (1)Pages: 448-448   Publisher: BioMed Central

Abstract

By using natural language processing of text data from image order entries, we could detect injurious falls within a shorter time than that by using incident reports. Concomitant use of this method might improve the shortcomings of an incident reporting system such as under-reporting or non-reporting and delayed submission of data on incidents.

Keywords:
Medical record Incident report Health informatics Medicine Medical emergency Computer science Natural language processing Data mining Information retrieval Public health Computer security Surgery

Metrics

47
Cited By
3.82
FWCI (Field Weighted Citation Impact)
21
Refs
0.91
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Occupational Health and Safety Research
Health Sciences →  Health Professions →  Radiological and Ultrasound Technology
Emergency and Acute Care Studies
Health Sciences →  Medicine →  Emergency Medicine
Injury Epidemiology and Prevention
Health Sciences →  Medicine →  Public Health, Environmental and Occupational Health
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