+ Site Statistics
+ Search Articles
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ PDF Full Text
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn
+ Translate
+ Recently Requested

How much information is lost during processing? A case study of pediatric emergency department records

How much information is lost during processing? A case study of pediatric emergency department records

Computers and Biomedical Research, An International Journal 26(6): 582-591

This is a retrospective study determining the completeness and accuracy of processed information of emergency department (ED) records of a busy urban children's hospital. The method of study was based on comparing computer processed information with that in the patient's medical chart. A total of 457 ED visits from April 5 to April 25 of 1992 were audited. Accuracy was found to differ with the type of data element and the setting. Among admissions, admitting diagnoses coding had the highest error rate (53.1%), followed by age (33.2%), admitting time (31.0%), and admitting ward (12.5%). Among discharges, time in had the highest error rate (76.0%), followed by area where seen (56.9%), physician name (48.4%), time out (37.8%), age (33.3%), mode of arrival (26.2%), diagnosis (20.1%), patient's condition (17.3%), and triage level (10.7%). Despite advances in computerized information systems, error rates of processed information remain unacceptably high. Future information systems should be interactive, recording rather than processing information flows between the provider and the patient.

(PDF emailed within 0-6 h: $19.90)

Accession: 046280197

Download citation: RISBibTeXText

PMID: 8112058

DOI: 10.1006/cbmr.1993.1041

Related references

Analysis of Unstructured Text-Based Data Using Machine Learning Techniques: The Case of Pediatric Emergency Department Records in Nicaragua. Medical Care Research and Review 2019: 1077558719844123, 2019

Linking ambulance, emergency department and hospital admission records to examine patient and health service delivery outcomes when opening an additional emergency department: A before and after study. Australasian Emergency Nursing Journal 12(4): 176-177, 2009

Predicting Pediatric Emergency Severity Index Level Based on Emergency Department Pre-Arrival Information. Journal of Pediatric Nursing 2017, 2017

Health information exchange and information gaps in referrals to a pediatric emergency department. International Journal of Medical Informatics 87: 68-74, 2016

The demand for emergency services at pediatric hospitals: a study of 4,858 cases treated at the emergency department of a pediatric hospital. Anales Espanoles de Pediatria 32(2): 99-104, 1990

Patients who leave the pediatric emergency department without being seen: a case-control study. Cmaj 172(1): 39-43, 2005

Diarrhea etiology in a pediatric emergency department: a case control study. Clinical Infectious Diseases 55(7): 897-904, 2013

Screening for iron deficiency anemia in at risk children in the pediatric emergency department: a survey of Canadian pediatric emergency department physicians. Pediatric Emergency Care 23(5): 281-284, 2007

E-codes assigned from emergency-department records: is the information there?. Academic Emergency Medicine 1(3): 289-291, 1994

Estimating the information gap between emergency department records of community medication compared to on-line access to the community-based pharmacy records. Journal of the American Medical Informatics Association 21(3): 391-398, 2014

Pediatric emergency department visits and ambient Air pollution in the U.S. State of Georgia: a case-crossover study. Environmental Health 15(1): 115, 2017

Respiratory diseases in pediatric triage: a comparison between a general emergency department and a pediatric emergency department. Pediatric Emergency Care 30(2): 81-83, 2014

Effect of emergency department fast track on emergency department length of stay: a case-control study. Emergency Medicine Journal 25(12): 815-819, 2008

Emergency ultrasound diagnosis of deep venous thrombosis in the pediatric emergency department: a case series. Pediatric Emergency Care 28(1): 90-95, 2012

Designing a data-driven decision support tool for nurse scheduling in the emergency department: a case study of a southern New Jersey emergency department. Journal of Emergency Nursing: Jen 41(1): 30-35, 2016