Investigation of decision making issues in the use of current clinical information systems
Mawilmada, Pubudika Kumari, Smith, Susan E., & Sahama, Tony R. (2012) Investigation of decision making issues in the use of current clinical information systems. In Maeder, Anthony J. & Martin-Sanchez, Fernando J. (Eds.) Proceedings of Health Informatics : Building a Healthcare Future Through Trusted Information - Selected Papers from the 20th Australian National Health Informatics Conference (HIC 2012), ISO Press, Sydney Convention & Exhibition Centre, Sydney, NSW, pp. 136-143.
Clinical information systems have become important tools in contemporary clinical patient care. However, there is a question of whether the current clinical information systems are able to effectively support clinicians in decision making processes. We conducted a survey to identify some of the decision making issues related to the use of existing clinical information systems. The survey was conducted among the end users of the cardiac surgery unit, quality and safety unit, intensive care unit and clinical costing unit at The Prince Charles Hospital (TPCH). Based on the survey results and reviewed literature, it was identified that support from the current information systems for decision-making is limited. Also, survey results showed that the majority of respondents considered lack in data integration to be one of the major issues followed by other issues such as limited access to various databases, lack of time and lack in efficient reporting and analysis tools. Furthermore, respondents pointed out that data quality is an issue and the three major data quality issues being faced are lack of data completeness, lack in consistency and lack in data accuracy. Conclusion: Current clinical information systems support for the decision-making processes in Cardiac Surgery in this institution is limited and this could be addressed by integrating isolated clinical information systems.
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|Item Type:||Conference Paper|
|Keywords:||Clinical information systems, Decision making, Health information systems, Data access, Data integration, Data quality|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > OTHER INFORMATION AND COMPUTING SCIENCES (089900)|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Deposited On:||23 Oct 2012 01:30|
|Last Modified:||19 Feb 2013 08:05|
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