Clinical informatics to diagnose cardiac diseases based on data mining

Authors:
Sung Ho Ha;Zhen Yu Zhang
Affiliations:
School of Business Administration, Kyungpook National University, Daegu, Korea;School of Business Administration, Kyungpook National University, Daegu, Korea
Venue:
ITBAM'10 Proceedings of the First international conference on Information technology in bio- and medical informatics
Year:
2010

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Abstract

The Emergency Department (ED) has been frustrated by the problems of overcrowding, long waiting times, and high costs over decades. With the development of computer techniques, various kinds of information systems have appeared and made people work more effectively. The Emergency Department Information System (EDIS) has been heralded as a "must" for the modern ED, which can enhance patients care, decrease the waiting time and cost, and alleviate the problem of overcrowding. This paper targets at building an engine of use in an EDIS. Based on the frameworks of patients flow in ED, real-world data were collected from the electronic medical records at the Emergency Department: more than 210000 records of 842 registered chest pain patients in total. By utilizing the data mining techniques, an engine of an expert system was proposed to help physicians with faster and more accurate decision making of diagnosis and lab test selections.