A measure of the quality of the data being used to assist the decision maker in making a decision. The quality of data measure is an aggregate value which encompasses information about technical factors of the mobile device (such as connectivity) as well as information pertaining to the completeness, accuracy of the data provided, reliability and relevance of the data provided.
Published in Chapter:
Mobile Decision Support for Time-Critical Decision Making
Frada Burstein (Monash University, Australia) and J. Cowie (University of Stirling, UK)
Copyright: © 2008
|Pages: 7
DOI: 10.4018/978-1-59904-843-7.ch071
Abstract
The wide availability of advanced information and communication technology has made it possible for users to expect a much wider access to decision support. Since the context of decision making is not necessarily restricted to the office desktop, decision support facilities have to be provided through access to technology anywhere, anytime, and through a variety of mediums. The spread of e-services and wireless devices has increased accessibility to data, and in turn, influenced the way in which users make decisions while on the move, especially in time-critical situations. For example, on site decision support for fire weather forecasting during bushfires can include real-time evaluation of quality of local fire weather forecast in terms of accuracy and reliability. Such decision support can include simulated scenarios indicating the probability of fire spreading over nearby areas that rely on data collected locally at the scene and broader data from the regional and national offices. Decision Support Systems (DSS) available on mobile devices, which triage nurses can rely on for immediate, expert advice based on available information, can minimise delay in actions and errors in triage at emergency departments (Cowie & Godley, 2006).