• Louise Cullen, Martin Than, Anthony F T Brown, Mark Richards, William Parsonage, Dylan Flaws, Judd E Hollander, Robert H Christenson, Jeffrey A Kline, Steven Goodacre, and Allan S Jaffe.
• Department of Emergency Medicine, Royal Brisbane and Women's Hospital, Butterfield Street, Herston, Brisbane, QLD 4029, Australia. louise_cullen@health.qld.gov.au
• Emerg Med Australas. 2010 Feb 1;22(1):35-55.

AbstractPatients with chest discomfort or other symptoms suggestive of acute coronary syndrome are one of the most common categories seen in many Emergency Departments (EDs). Although the recognition of patients at high risk of acute coronary syndrome has improved steadily, identifying the majority of chest pain presentations who fall into the low-risk group remains a challenge. Research in this area needs to be transparent, robust, applicable to all hospitals from large tertiary centres to rural and remote sites, and to allow direct comparison between different studies with minimum patient spectrum bias. A standardized approach to the research framework using a common language for data definitions must be adopted to achieve this. The aim was to create a common framework for a standardized data definitions set that would allow maximum value when extrapolating research findings both within Australasian ED practice, and across similar populations worldwide. Therefore a comprehensive data definitions set for the investigation of non-traumatic chest pain patients with possible acute coronary syndrome was developed, specifically for use in the ED setting. This standardized data definitions set will facilitate 'knowledge translation' by allowing extrapolation of useful findings into the real-life practice of emergency medicine.

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