Asthma Patients' Assessments of Health Care and Medical Decision Making: The Role of Health Literacy

Overdiagnosis and overtreatment—overuse—is gaining wide acceptance as a leading nosocomial intervention in medicine. Not only does overuse create anxiety and diminish patients’ quality of life, in some cases it causes harm to both patients and others not directly involved in clinical care. Reducing overuse begins with the recognition and acceptance of the potential for unintended harm of our best intentions. In this paper, we introduce five cases to illustrate where harm can occur as the result of well-intended healthcare interventions. With this insight, clinicians can learn to appreciate the critical role of probability-based, evidence-informed decision-making in medicine and the need to consider the outcomes for all who may be affected by their actions. Likewise, educators need to evolve medical education and medical decision-making so that it focuses on the hierarchy of evidence and that what ‘ought to work’, based on traditional pathophysiological, disease-focused reasoning, should be subordinate to what ‘does work’.

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Using Data Science for Medical Decision Making Case: Role of Gut Microbiome in Multiple Sclerosis

IFMBE Proceedings - CMBEBIH 2019 ◽

10.1007/978-3-030-17971-7_54 ◽

2019 ◽

pp. 349-356

Author(s):

Jasminka Hasic Telalovic ◽

Azra Music Kilic

Keyword(s):

Multiple Sclerosis ◽

Decision Making ◽

Gut Microbiome ◽

Data Science ◽

Medical Decision Making ◽

Medical Decision ◽

Using Data

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The role of meta-analysis in medical decision making

The Spine Journal ◽

10.1016/s1529-9430(02)00597-1 ◽

2003 ◽

Vol 3 (5) ◽

pp. 329-330 ◽

Cited By ~ 3

Author(s):

Michael Von Korff

Keyword(s):

Decision Making ◽

Medical Decision Making ◽

Meta Analysis ◽

Medical Decision

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May We Support Your Decision?

Journal of Health Services Research & Policy ◽

10.1177/135581969600100312 ◽

1996 ◽

Vol 1 (3) ◽

pp. 175-178 ◽

Cited By ~ 1

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.

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