Methods of decision analysis: Protocols, decision trees, and algorithms in medicine

Autor:	L. M. L. C. Siezenis, J. M. Greep
Rok vydání:	1989
Předmět:	Decision engineering business.industry Decision Trees Evidential reasoning approach Decision tree MEDLINE Decision Support Techniques Patient benefit Clinical Protocols Diagnosis Business decision mapping Humans Medicine Surgery business Algorithm Algorithms Decision analysis Optimal decision
Zdroj:	World Journal of Surgery. 13:240-244
ISSN:	1432-2323 0364-2313
DOI:	10.1007/bf01659028
Popis:	Algorithms, decision trees, and protocols are defined and explained since they constitute an accepted part of clinical decision analysis and application to clinical care. Algorithms are particularly useful for common clinical problems where uncertainties are unlikely. Decision trees are helpful when--as usually occurs in difficult clinical decisions--there are problems in probability. Clinical protocols, which, at best, are based on algorithms and decision trees, provide instruction of how to best treat a patient given the strict definitions of the clinical problem. These techniques are, in essence, merely graphic representations of a logical scientific approach to clinical problems. Criticisms of these techniques center on their rigidity and the automatic unthinking cookbook medicine they might sponsor. It is concluded that if these techniques are wisely designed and, even more importantly, wisely administered with an understanding flexibility, they can lead to both economy and patient benefit.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75657ad5576719ac9bf444a30157afe2 https://doi.org/10.1007/bf01659028 Zobrazit plný text záznamu Full text from SpringerLink