title: Clinical Reasoning and Risk in the Intensive Care Unit.
abstract: Clinical reasoning in medicine describes the process whereby a clinician gathers, assimilates, and assesses information about a person and their illness to assign a diagnosis and institute therapy. Care of patients in the intensive care unit involves managing a substantial quantity of incomplete, novel, and rapidly changing data. A modified nine-step bayesian approach to clinical reasoning comports well with this complex environment and is useful for assisting and educating novice learners to apply clinical reasoning accurately and consistently. When combined with a sophisticated approach to risk-benefit analysis to modify the treatment threshold, it becomes a useful and insightful tool for clinicians and those working in medical education.
authors: Section of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, Yale University School of Medicine, 300 Cedar Street, TAC-441 South, PO Box 208057, New Haven, CT 06520-8057, USA. Electronic address: geoffrey.connors@yale.edu.
authors: Geoffrey R
authors: GR
authors: Connors
authors: Section of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, Yale University School of Medicine, 300 Cedar Street, TAC-441 South, PO Box 208057, New Haven, CT 06520-8057, USA.
authors: Jonathan M
authors: JM
authors: Siner
mesh_terms: D001499:Bayes Theorem; D003071:Cognition; D006801:Humans; D007362:Intensive Care Units / Q000592:standards*; D012306:Risk
keywords: Bayesian analysis; Clinical reasoning; Intensive care; Risk assessment; Risk benefit