Literature DB >> 19372541

A novel method to link and validate routinely collected emergency department clinical data to measure quality of care.

Amelia Yip1, Matthew Leduc, Vincent Teo, Matthew Timmons, Michael J Schull.   

Abstract

The objective was to develop and validate a method to link routinely captured electronic data for the measurement of emergency department (ED) quality indicators. Electronic ED data were linked to calculate time to antibiotics and time to electrocardiogram (ECG) for pneumonia and chest pain patients, respectively; validation was by comparison with chart data. Linked electronic data correctly identified 40/40 pneumonia and 65/65 chest pain patients. The median difference in time to antibiotics calculated from linked electronic data versus chart data was 6 minutes (standard deviation [SD] = 14.0); for time to ECG it was 0 minutes (SD = 70). The percentage of ED patients meeting target time to antibiotics was 47% with electronic data versus 44% with charts; for time to ECG, 8% met target time with electronic data versus 11% with charts. A simple computer algorithm for linking routine ED electronic data for quality-of-care measurement was validated.

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Year:  2009        PMID: 19372541     DOI: 10.1177/1062860609333880

Source DB:  PubMed          Journal:  Am J Med Qual        ISSN: 1062-8606            Impact factor:   1.852


  1 in total

1.  Electronic versus manual data processing: evaluating the use of electronic health records in out-of-hospital clinical research.

Authors:  Craig D Newgard; Dana Zive; Jonathan Jui; Cody Weathers; Mohamud Daya
Journal:  Acad Emerg Med       Date:  2012-02       Impact factor: 3.451

  1 in total

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