Data driven and practice-based evidence : design and development of efficient and effective clinical decision support system

Osop, Hamzah & Sahama, Tony (2016) Data driven and practice-based evidence : design and development of efficient and effective clinical decision support system. In Improving Health Management through Clinical Decision Support Systems. IGI Global Publishing, Hershey, PA.

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Decision-making is such an integral aspect in health care routine that the ability to make the right decisions at crucial moments can lead to patient health improvements. Evidence-based practice, the paradigm used to make those informed decisions, relies on the use of current best evidence from systematic research such as randomized controlled trials. Limitations of the outcomes from randomized controlled trials (RCT), such as “quantity” and “quality” of evidence generated, has lowered healthcare professionals’ confidence in using EBP. An alternate paradigm of Practice-Based Evidence has evolved with the key being evidence drawn from practice settings. Through the use of health information technology, electronic health records (EHR) capture relevant clinical practice “evidence”. A data-driven approach is proposed to capitalize on the benefits of EHR. The issues of data privacy, security and integrity are diminished by an information accountability concept. Data warehouse architecture completes the data-driven approach by integrating health data from multi-source systems, unique within the healthcare environment.

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ID Code: 84040
Item Type: Book Chapter
Additional URLs:
Keywords: Clinical Data Warehouse, Data Integration, Data Privacy, Data Quality, Electronic Health Record, Evidence-Based Practice, Information Accountability, Practice-Based Evidence
DOI: 10.4018/978-1-4666-9432-3.ch014
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > LIBRARY AND INFORMATION STUDIES (080700) > Health Informatics (080702)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2016 IGI Global Publishing
Deposited On: 11 May 2015 23:46
Last Modified: 08 Oct 2015 01:05

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