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Model Based Decision Making in Cardiac Surgery
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Author(s): Oskar Staudinger (University for Health Sciences, Med Informatics and Tech, Austria), Bettina Staudinger (University for Health Sciences, Med Informatics and Tech, Austria), Herwig Ostermann (University for Health Sciences, Med Informatics and Tech, Austria), Martin Grabenwöger (University of Vienna, Vienna, Austria)and Bernhard Tilg (University for Health Sciences, Med Informatics and Tech, Austria)
Copyright: 2008
Pages: 12
Source title:
Encyclopedia of Information Technology Curriculum Integration
Source Author(s)/Editor(s): Lawrence A. Tomei (Robert Morris University, USA)
DOI: 10.4018/978-1-59904-881-9.ch094
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Abstract
The development of models for risk stratification in cardiac surgery goes back a number of years. In 1989, the Society of Thoracic Surgeons (STS) created the first database version for use in the USA. In the year 2005 alone, the data from 234,532 operations were recorded in a structured way by 654 participating institutes. The value of these collected data is described by Ferguson (Ferguson, Dziuban, Edwards, Eiken, Shroyer, & Pairolero, 2000): “Because of their collective efforts, the goal to establish the STS National Data Base as a ‘gold standard’ worldwide for process and outcomes analysis related to cardiothoracic surgery is becoming a reality.” The number of research projects deriving from this is correspondingly large (The Society of Thoracic Surgeons National Database Access and Publications Task Force, 2006).
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