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Discuss how a dependable system affects the clinical decision making as a support
system
The dependability of a system affects the clinical decision making as a support by the
user's degree of trust in that system. It reflects the extent of the user's confidence that it
will operate as users expect and that it will not 'fail' in normal use. Dependability covers
the related systems attributes of reliability, availability and security. These are all inter-
dependent.
System failures may have widespread effects with large numbers of people affected by
the failure. Systems that are not dependable and are unreliable, unsafe or insecure may
be rejected by their users. The costs of system failure may be very high if the failure
leads to economic losses or physical damage. Undependable systems may cause
information loss with a high consequent recovery cost.
clinical decision making assist healthcare providers, enabling an analysis of patient data
and using that information to aid in formulating a diagnosis. It offers information to
clinician and primary care providers to improve the quality of the care their patients
receive.

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LR CBCDSS.pdf

  • 1. Discuss how a dependable system affects the clinical decision making as a support system The dependability of a system affects the clinical decision making as a support by the user's degree of trust in that system. It reflects the extent of the user's confidence that it will operate as users expect and that it will not 'fail' in normal use. Dependability covers the related systems attributes of reliability, availability and security. These are all inter- dependent. System failures may have widespread effects with large numbers of people affected by the failure. Systems that are not dependable and are unreliable, unsafe or insecure may be rejected by their users. The costs of system failure may be very high if the failure leads to economic losses or physical damage. Undependable systems may cause information loss with a high consequent recovery cost. clinical decision making assist healthcare providers, enabling an analysis of patient data and using that information to aid in formulating a diagnosis. It offers information to clinician and primary care providers to improve the quality of the care their patients receive.