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The paper aims at presenting the main issues concerning the Reverse Supply Chains RSCC) and the specific attributes of Decision Support Systems (DSS) meant to be used in the RSC management activities in line with the new Information and Communication Technologies (ICT).
The review points out the need to address factors related to: the attributes of decision aids, the practitioners and patients who use them, and the practice environment in which they are used, to successfully implement decision aids into the process of care.
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As a soft computing tool, rough set theory has become a powerful mathematical framework for pattern recognition, attribute value representation model to describe the dependencies among attributes, evaluate the significance of attributes, derivation of decision rules and knowledge discovery.
It is not possible to disentangle whether the physicians' perceptions of the attributes of the decision aid were related solely to the decision aid or to characteristics of the physician group assigned each of the decision aids.
There is still limited evidence on two key attributes of the decision-making process construct whether decision aids help patients recognize a decision needs to be made, and whether PtDAs help patients discuss their goals and concerns with their health care providers.
We will then use a mixed model to describe clinicians' perceptions of the attributes of the decision boxes (5-point smiley-faces rating scale, IAM), taking into account the clinical topic of the Decision Box, the study site, clinician's status (nurse, resident, physician) and socio demographic characteristics of the participants.
In this paper, we propose a way to reduce the attributes of covering decision systems, which are databases characterized by covers.
Describe optimal design attributes of clinical decision support (CDS) interventions for medication prescribing, emphasizing perceptual, cognitive and functional characteristics that improve human computer interaction (HCI) and patient safety.
Once retrieved, the information enters into an active decision-making process and is thus subject to a variety of influences including sociocultural and physical characteristics of the immediate task environment and the preexisting cognitive attributes of the decision maker.
In the proposed approach, an attribute based aggregation technique for heterogeneous group of experts is employed and used for dealing with fuzzy opinion aggregation for the subjective attributes of the decision problem.
In particular, greater rigour in exploring the roles played by different contextual variables such as characteristics of the issue of interest, the culture of the sponsoring organization and attributes of the decision being made is needed.
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