Measuring patient benefit in mental illness

1996 ◽  
Vol 11 (3) ◽  
pp. 155-158 ◽  
Author(s):  
C Gudex
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Medical Decision Making ◽  
Cost Utility ◽  
Medical Decision ◽  
Patient Benefit ◽  
Considerable Potential ◽  
Different Types ◽  
The Cost ◽  
Utility Approach

SummaryThis paper provides a brief overview of issues to consider in evaluating patient benefit from health care. Different types of measures are described and it is noted that the choice of measure is dependent upon the purpose of the study. The cost-utility approach to evaluation is discussed in more detail. This approach is often criticised but it raises important issues in medical decision-making and has considerable potential in the evaluation of patient benefit from health care.

May We Support Your Decision?

1996 ◽  
Vol 1 (3) ◽  
pp. 175-178 ◽  
Author(s):  
Colin Gordon
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Decision Making ◽  
Clinical Practice ◽  
Decision Support ◽  
Health Care Professionals ◽  
Medical Decision Making ◽  
Electronic Patient Record ◽  
Medical Decision ◽  
Technical Developments

Expert systems to support medical decision-making have so far achieved few successes. Current technical developments, however, may overcome some of the limitations. Although there are several theoretical currents in medical artificial intelligence, there are signs of them converging. Meanwhile, decision support systems, which set themselves more modest goals than replicating or improving on clinicians' expertise, have come into routine use in places where an adequate electronic patient record exists. They may also be finding a wider role, assisting in the implementation of clinical practice guidelines. There is, however, still much uncertainty about the kinds of decision support that doctors and other health care professionals are likely to want or accept.

scholarly journals Liability issues for the use of artificial intelligence in health care in Canada: AI and medical decision-making

2020 ◽  
Vol 46 (2) ◽  
Author(s):  
Mélanie Bourassa Forcier ◽  
Lara Khoury ◽  
Nathalie Vézina
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Decision Making ◽  
Medical Decision Making ◽  
Legal Framework ◽  
Medical Decision

This paper explores Canadian liability concerns flowing from the integration of artificial intelligence (AI) as a tool assisting physicians in their medical decision-making. It argues that the current Canadian legal framework is sufficient, in most cases, to allow developers and users of AI technology to assess each stakeholder's responsibility should the technology cause harm.

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