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The paper describes the functional role of a mobile, decision supporting device in the clinical workflow.
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They are common decision support devices that should be effectively managed in decision support systems.
Despite technical malfunctions, the performance of this prototype system of the CS-1 Decision Support System device was, from a clinical point of view, already effective in maintaining tight glycaemic control.
Future interventions to optimise test choices for frequently occurring important decisions may need to be mostly preprepared (eg, practice guidelines or computer-based tools; in the dizziness case, perhaps prepackaged decision support using device-based physiologic diagnosis 28).
New opportunities for communication, education and decision support through mobile devices (mHealth) could also provide maternity care workers with remote advice and produce data for feedback and audit [ 68].
Leung et al. found providing POC decision support via a mobile device resulted in slightly better self-reporting on outcome measures compared with print-based job aids, but that both the print and mobile groups showed improvements in use of evidence-based decision-making [ 26].
The roles of electronic health records, computerized decision support systems, and portable electronic devices also need to be studied further for their potential to strengthen the safety of handovers and other communication in home care [ 51, 53].
A number of IT applications are currently available including electronic patient registers, electronic decision support systems, videoconferencing, telemedicine, biometric devices capable of uploading information such as blood glucose test results to the Internet or the HP's computer and Internet-based interactive patient support networks [ 3].
According to these considerations, this paper presents a light-weight, rule-based, reasoning system, purposely designed and optimized to build knowledge-based Decision Support Systems efficiently embeddable in mobile devices.
The model allows to integrate, in the same decision support tool, technical knowledge regarding AR devices with critical process features characterizing manufacturing processes, thus allowing to assess the contribution of the AR device in a wider prospective compared to current technological analyses.
The process of determination of the device parameters with a decision support system to be developed for this decision process can be completed with minimum error by predicating the instantaneous status of the patient.
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