From Biology to Ethics, from Ethics to Medical Decision

2002 ◽  
pp. 1066-1077
Keyword(s):  
2007 ◽  
Author(s):  
Gabriella Pravettoni ◽  
Claudio Lucchiari ◽  
Salvatore Nuccio Leotta ◽  
Gianluca Vago

1998 ◽  
Vol 37 (03) ◽  
pp. 235-238 ◽  
Author(s):  
M. El-Taha ◽  
D. E. Clark

AbstractA Logistic-Normal random variable (Y) is obtained from a Normal random variable (X) by the relation Y = (ex)/(1 + ex). In Monte-Carlo analysis of decision trees, Logistic-Normal random variates may be used to model the branching probabilities. In some cases, the probabilities to be modeled may not be independent, and a method for generating correlated Logistic-Normal random variates would be useful. A technique for generating correlated Normal random variates has been previously described. Using Taylor Series approximations and the algebraic definitions of variance and covariance, we describe methods for estimating the means, variances, and covariances of Normal random variates which, after translation using the above formula, will result in Logistic-Normal random variates having approximately the desired means, variances, and covariances. Multiple simulations of the method using the Mathematica computer algebra system show satisfactory agreement with the theoretical results.


1998 ◽  
Vol 37 (01) ◽  
pp. 16-25 ◽  
Author(s):  
P. Ringleb ◽  
T. Steiner ◽  
P. Knaup ◽  
W. Hacke ◽  
R. Haux ◽  
...  

Abstract:Today, the demand for medical decision support to improve the quality of patient care and to reduce costs in health services is generally recognized. Nevertheless, decision support is not yet established in daily routine within hospital information systems which often show a heterogeneous architecture but offer possibilities of interoperability. Currently, the integration of decision support functions into clinical workstations is the most promising way. Therefore, we first discuss aspects of integrating decision support into clinical workstations including clinical needs, integration of database and knowledge base, knowledge sharing and reuse and the role of standardized terminology. In addition, we draw up functional requirements to support the physician dealing with patient care, medical research and administrative tasks. As a consequence, we propose a general architecture of an integrated knowledge-based clinical workstation. Based on an example application we discuss our experiences concerning clinical applicability and relevance. We show that, although our approach promotes the integration of decision support into hospital information systems, the success of decision support depends above all on an adequate transformation of clinical needs.


2008 ◽  
Vol 5 (1) ◽  
pp. 81-88
Author(s):  
Philip Berry

When life-threatening illness robs a patient of the ability to express their desires, medical personnel must work through the issues of management and prognosis with relatives. Management decisions are guided by medical judgement and the relatives’ account of the patient’s wishes, but difficulties occur when distance grows between these two factors. In these circumstances the counselling process may turn into a doctor-led justification of the medical decision. This article presents two strands of dialogue, in which a doctor, counselling for and against continuation of supportive treatment in two patients with liver failure, demonstrates selectivity and inconsistency in constructing an argument. The specific issues of loss of consciousness (with obscuration of personal identity), statistical ‘futility’ and removal of autonomy are explored and used to bolster diametrically opposed medical decisions. By examining the doctor’s ability to interpret these issues according to circumstance, the author demonstrates how it is possible to shade medical facts depending on the desired outcome.


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