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Information requirements underlying medical decision making in the diagnosis and early management of spontaneous subarachnoid hemorrhage.

1995·0 Zitationen·PubMed
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0

Zitationen

2

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1995

Jahr

Abstract

The research reported here investigated an area in which improved information would significantly enhance decision making focusing upon the diagnosis and management of spontaneous subarachnoid hemorrhage (SAH). The incidence of SAH is low, but morbidity and mortality are high. Furthermore, nonspecialists acting as gatekeepers to specialist care may not possess the required knowledge base and diagnostic skills to make reasonable decisions. The information used by experts was evaluated and an expert consensus established. An analysis of nonspecialist decision making was then completed, and finally the expert consensus was utilized to identify both the information deficits and the training requirements of nonspecialists.

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Machine Learning in HealthcareArtificial Intelligence in Healthcare and EducationClinical Reasoning and Diagnostic Skills
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