How to Improve Cardiac Surgery Decision Making? In Data Warehousing Perspective
Mawilmada, Pubudika, Sahama, Tony, & Smith, Susan (2011) How to Improve Cardiac Surgery Decision Making? In Data Warehousing Perspective. In International Conference on Innovation and Management, Kuala Lumpur, Malaysia, p. 165.
The health system is one sector dealing with very large amount of complex data. Many healthcare organisations struggle to utilise these volumes of health data effectively and efficiently. Therefore, there is a need for very effective system to capture, collate and distribute this health data. There are number of technologies have been identified to integrate data from different sources. Data warehousing is one technology can be used to manage clinical data in the healthcare. This paper addresses how data warehousing assist to improve cardiac surgery decision making. This research used the cardiac surgery unit at the Prince Charles Hospital (TPCH) as the case study. In order to deal with other units efficiently, it is important to integrate disparate data to a single point interrogation. We propose implementing a data warehouse for the cardiac surgery unit at TPCH. The data warehouse prototype developed using SAS enterprise data integration studio 4.2 and data was analysed using SAS enterprise edition 4.3. This improves access to integrated clinical and financial data with, improved framing of data to the clinical context, giving potentially better informed decision making for both improved management and patient care.
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|Item Type:||Conference Paper|
|Keywords:||Cardiac Surgery, Clinical Information Systems, Data warehouse, Data warehousing, Decision Making, Healthcare|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > OTHER INFORMATION AND COMPUTING SCIENCES (089900)
Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000)
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Science and Technology
Past > Institutes > Information Security Institute
|Copyright Owner:||Copyright 2011 Please consult the authors.|
|Deposited On:||19 Jun 2013 00:19|
|Last Modified:||22 Mar 2016 05:16|
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