Pediatric clinical decision making.

J E Scharre; M M Marciniak

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PubMed · 8071500

Pediatric clinical decision making.

J E Scharre·M M Marciniak

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Abstract

BACKGROUND: Clinicians systematically gather information and data, generate hypotheses, and using clinical judgment arrive at a diagnosis and treatment plan. This process may be difficult and time consuming. Analysis using decision-making algorithms provides the clinician with a model to simplify complex clinical situations. This decision-making strategy is particularly effective in the pediatric population because of the variability in the patient's responses. METHODS: This clinical strategy is presented for two clinical scenarios in pediatric patients, nystagmus and esotropia. Two clinical decision-making trees are presented with possible clinical approaches to problem solving. CONCLUSIONS: Decision analysis in the care of pediatric patients may be simplified by the development of decision-making algorithms. This explanation of the decision-making strategy will allow clinicians to develop a personal approach to problem solving in their clinical care.

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Algorithms Decision Making Decision Trees Esotropia Humans Infant Nystagmus, Pathologic Journal Article

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J E Scharre, M M Marciniak. 1994. Pediatric clinical decision making.. https://pubmed.ncbi.nlm.nih.gov/8071500/

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