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This book explores how design of clinical decision support systems (DSS) is driven by the optimisation of the decision process leading to the decision, and how it may enhance the human uptake and use of DSS. Author explains how to identify tasks that could be simplified by decision support, and how to build DSS that are likely to be readily adopted and so improve decision outcomes. Two hypotheses are tested: (a) the analysis of specific process attributes of a given clinical decision task, as well as the information needs of its users, improves the design of DSS and enhances systems impact and…mehr

Produktbeschreibung
This book explores how design of clinical decision support systems (DSS) is driven by the optimisation of the decision process leading to the decision, and how it may enhance the human uptake and use of DSS. Author explains how to identify tasks that could be simplified by decision support, and how to build DSS that are likely to be readily adopted and so improve decision outcomes. Two hypotheses are tested: (a) the analysis of specific process attributes of a given clinical decision task, as well as the information needs of its users, improves the design of DSS and enhances systems impact and acceptance; and b) the complexity of the decision task is the key process attribute that, in conjunction with the information seeking of users, shapes the outcome of the design process. The work is applied to the domain of antibiotic prescribing in critical care.
Autorenporträt
Vitali Sintchenko (MBBS, PhD, FRCPA, FACHI) is a clinical microbiologist and informatician with The University of Sydney, Australia. In this book, he examines the impact of decision complexity on the efficacy of decision support systems and demonstrates how they improve clinical outcomes when used for antibiotic management.