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American Journal of Medical Quality
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A Novel Method to Link and Validate Routinely Collected Emergency Department Clinical Data to Measure Quality of Care

Amelia Yip, MD

School of Medicine, Queen's University, Kingston, Canada

Matthew Leduc, BA

Sunnybrook Health Sciences Centre, Toronto, Canada

Vincent Teo, BScPharm

Sunnybrook Health Sciences Centre, Toronto, Canada

Matthew Timmons, BSCN

Sunnybrook Health Sciences Centre, Toronto, Canada

Michael J. Schull, MD, MSc, FRCPC

Sunnybrook Health Sciences Centre, Toronto, Canada and University of Toronto, Canadamjs{at}ices.on.ca

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.

Key Words: quality of care • emergency department • data linkage • electronic data

This version was published on May 1, 2009

American Journal of Medical Quality, Vol. 24, No. 3, 185-191 (2009)
DOI: 10.1177/1062860609333880
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