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Additional resources for Efficient Decision Support Systems - Practice and Challenges in Biomedical Related Domain
Clinical decision support software for management of chronic heart failure: Development and evaluation, Computers in Biology and Medicine 36: 495–506. , Bennett, J. & Dolin, R. (2004). Principles and Practice of Infectious Diseases: 2-Volume, Churchill Livingstone. , Mangalampalli, S. , Chakravarthy, R. & Jain, A. K. (2006). A neural network based clinical decision-support system for efﬁcient diagnosis and fuzzy-based prescription of gynecological diseases using homoeopathic medicinal system, Expert Systems with Applications 30: 109–116.
1 Clinical decision-making CDSS has a significant impact on the quality of decision making by healthcare providers. According to Kawamoto et al. (2005), CDSS provide “clinicians with patient-specific assessments or recommendations to aid clinical decision making” (p. 765). However, this goal of achieving quality decision making is not an easy endeavour. Clinical decisionmaking is a “complex task requiring a knowledgeable practitioner, reliable informational inputs, and a supportive environment” (O'Neill, Dluhy, & Chin, 2005, p.
In the Netherlands, this provision is used nationwide since 1980, integrated in a drug database (G-standaard, Royal Dutch Association for the Advancement of Pharmacy). , 2008) In our 600-bed university-affiliated hospital, we have implemented an advanced CDSS in practice on a few departments already and are on the eve of hospital-wide expansion. A critical examination of the literature made clear which prerequisites are needed for optimal implementation of advanced CDSS. To accelerate the process of CDSS adoption, we present an overview of success factors and barriers for implementation of advanced CDSS in hospital practice.