Improving intensive care surveillance protocols

Subhashini, Shashikala, Sahama, Tony, & Wikramanayake, Gihan (2016) Improving intensive care surveillance protocols. In 16th International Conference on Advances in ICT for Emerging Regions (ICTer2016), 1-3 September 2016, Colombo, Sri Lanka. (In Press)

Abstract

The Intensive Care Unit (ICU) plays a central and pivotal role in the processes of critical care decision-making. Patients in the ICU require immediate critical care regardless of ICU care processes and infrastructure facilities available. Existing clinical evidence and the research gaps suggest that the interchange between the two processes; clinical decision making and protocols are defectively managed. The reasons for this are unclear despite the existence of the critical clinical information integration for a considerable period of time. It is understood that in-effective of the information provided and disconnection between hierarchical structures of the clinical decision makers are a crucial factor for the ICU. The physicians as hierarchical decision makers are playing a vital role in ICU units congested with information from different sources, including clinical notes and reports, flow charts, bedside monitors and laboratory results. Integration between this flows of information is, therefore challenging and useful. Consequently, past research evidence suggests that clinicians with several decades of experience are unable to integrate the information consistently for unknown reasons. Hence, a literature review was undertaken to examine existing solutions. A conceptual model which consists of the components of input case, interface, case library, decision maker, classification, system tuner and knowledge miner was discussed. This is ongoing research which emerges with a conceptual framework of expert clinical decision making processes. Finally the requirements of the case in line with the accessibility, modification and addition modelled using the UPPAAL tool are presented.

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ID Code: 95649
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: Intensive Care Unit (ICU), Case Base Reasoning (CBR), Rule Base Reasoning (RBR), Clinical Decision Support System, UPPAAL
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) > INFORMATION SYSTEMS (080600) > Information Systems Management (080609)
Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000)
Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000) > PUBLIC HEALTH AND HEALTH SERVICES (111700)
Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000) > PUBLIC HEALTH AND HEALTH SERVICES (111700) > Health Information Systems (incl. Surveillance) (111711)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > Institutes > Institute for Future Environments
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2016 [please consult the authors]
Deposited On: 18 May 2016 22:38
Last Modified: 06 Sep 2016 10:12

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