Some Thoughts About Reasoning in Clinical Neuropsychology

1999 ◽  
Vol 16 (1) ◽  
pp. 37-48 ◽  
Author(s):  
Richard J. Siegert
Keyword(s):  
Decision Making ◽  
Clinical Reasoning ◽  
Medical Diagnosis ◽  
Clinical Training ◽  
Reliability And Validity ◽  
Careful Consideration ◽  
Clinical Neuropsychology ◽  
Heated Debate ◽  
End Stage

AbstractThe present paper argues that discussion of the role of reasoning in clinical neuropsychology has been largely restricted to a debate over the reliability and validity of end-stage decision-making. This has sometimes led to heated debate, but has not resulted in any careful consideration of either the process of clinical reasoning or the cognition of the clinician. There is already a wealth of theory and research on the kinds of errors typical of human judgement and decision-making. Moreover, much of this work is particularly relevant for neuropsychology, being frequently based on research on medical diagnosis. This literature is briefly reviewed, with examples that demonstrate the relevance of research in this area for clinical neuropsychology. Then, a step-by-step approach is taken to examining the process of clinical neuropsychological assessment, with consideration at each step of some of the issues that arise demanding clinical reasoning. Finally, the article is briefly summarised and some implications for clinical training are advanced.

Corruption: ‘Culture’ in the Dock

2017 ◽  
Vol 23 (1) ◽  
pp. 21-26 ◽  
Author(s):  
Vineet Sahu
Keyword(s):  
Decision Making ◽  
Public Life ◽  
Careful Consideration ◽  
Individual Agent ◽  
Individual Agency ◽  
Holistic Perspective ◽  
Cultural Milieu ◽  
The Individual

Corruption in public life1 needs to be examined in greater detail as not only an individual lapse but also a feature of the collective that either does or does not put pressure on the individual to lapse. This paper takes a methodological holistic perspective exceeding the methodological individualistic perspective in understanding corruption. The claim is that the locus of responsibility cannot be restricted to the individual alone and the collective (if there be such an entity) be left scot-free. This claim is premised on the conception that an individual’s act which is in deviation of expected and established norms cannot be faulted only at the level of the individual, and careful consideration needs to be made to assess the role of the collective in precipitating the lapse(s) in the actions of the individual. This paper argues for sharing the liability of corruption in public life between the legally responsible individual as agent and the cultural milieu in which the agent operates. At a foundational level this paper calls for a reconceptualization of individual agency and decision making from being isolated and discrete, to being construed by the collective that the individual agent is a part of.

scholarly journals The role of patient and healthcare professionals in the era of new hemophilia treatments in developed and developing countries

2018 ◽  
Vol 9 (8) ◽  
pp. 239-249 ◽  
Author(s):  
Fadi Nossair ◽  
Courtney D. Thornburg
Keyword(s):  
Decision Making ◽  
Shared Decision Making ◽  
Treatment Options ◽  
Careful Consideration ◽  
Practical Implementation ◽  
Shared Decision ◽  
Medical Decisions ◽  
Patient Goals ◽  
Number Of Treatment

Medical decisions in hemophilia care are primarily related to the type of factor replacement and treatment regimen. With the growing number of treatment options for patients with hemophilia, decision making is more complex and requires careful consideration of benefits, risks, and patient goals. Shared decision making and decision-aid tools facilitate patient and healthcare provider communication. In this review, the overall role of shared decision making in medicine is outlined, with special emphasis on models for practical implementation. Examples of shared decision making in hemophilia are outlined, and application to new therapeutics is discussed through a case-based approach.

Exploring the Relationship Between Extended 3Ps and Store Choice: Moderating Role of Consumer Demographics

2021 ◽  
pp. 231971452110234
Author(s):  
Ajay Bansal ◽  
Rahul Gupta
Keyword(s):  
Decision Making ◽  
Reliability And Validity ◽  
Store Choice ◽  
Consumer Demographics ◽  
And Gender ◽  
Conclusion Section ◽  
Decision Boundaries ◽  
The Impact ◽  
The Relationship

This study is an attempt to bridge the link between factors representing stores’ decision boundaries and consumers’ decision-making criteria. It also explores the impact of consumer demographic variables on the relationship between the influence of extended 3Ps (process, people and physical evidence) and store choice. Around 290 responses were found suitable for further statistical refinements through a structured survey. After carrying out the reliability and validity properties of the data, structure equation modelling was applied. The findings of the study revealed that individual demographics (income, age and gender) moderated the relationship between the extended 3Ps and consumer store choice for shopping (in this study example of shopping smartphone). However, occupation and education were found to have no different influence by separate segments of population. Also, all demographics have an interpretation for marketers, which are discussed in the conclusion section. The framework used in this article opens up new vistas for research on exploring different consumer segments and service decision-making in retail marketing.

scholarly journals Explainable Artificial Intelligence: What Do You Need to Know?

2020 ◽  
pp. 266-275
Author(s):  
Sam Hepenstal ◽  
David McNeish
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Careful Consideration ◽  
Individual System ◽  
System Components ◽  
Explainable Artificial Intelligence ◽  
Explainable Ai ◽  
Research Findings ◽  
The Individual

Abstract In domains which require high risk and high consequence decision making, such as defence and security, there is a clear requirement for artificial intelligence (AI) systems to be able to explain their reasoning. In this paper we examine what it means to provide explainable AI. We report on research findings to propose that explanations should be tailored, depending upon the role of the human interacting with the system and the individual system components, to reflect different needs. We demonstrate that a ‘one-size-fits-all’ explanation is insufficient to capture the complexity of needs. Thus, designing explainable AI systems involves careful consideration of context, and within that the nature of both the human and AI components.

scholarly journals The New Regional Medical Campus: A Practical Guide

2019 ◽  
Vol 2 (4) ◽  
Author(s):  
Ralitsa Akins
Keyword(s):  
Decision Making ◽  
Medical Education ◽  
American Medical ◽  
Clinical Training ◽  
Historical Perspective ◽  
Conflicts Of Interest ◽  
Cost Effective ◽  
Effective Solution ◽  
Regional Medical

There is a paucity of publications about new regional medical campuses. The authors, members of the Association of American Medical Colleges (AAMC) and its Group on Regional Medical Campuses (GRMC), offer a historical perspective about the role of Regional Medical Campuses (RMCs), and provide a roadmap to establishing a new RMC, including logistics, resources, curriculum, student services, faculty, affiliations and networking within the community. A checklist designed to support leadership decision-making is also included. The RMC is an efficient model for increasing opportunities for clinical training, accommodating expansion of graduate medical education, and offering a cost-effective solution to train future physicians. Conflicts of Interest: None

scholarly journals How do experts recognize schizophrenia: the role of the disorganization symptom

2006 ◽  
Vol 28 (1) ◽  
pp. 5-9 ◽  
Author(s):  
Denise Razzouk ◽  
Jair de Jesus Mari ◽  
Itiro Shirakawa ◽  
Jacques Wainer ◽  
Daniel Sigulem
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Expert System ◽  
Expert Systems ◽  
Clinical Reasoning ◽  
Clinical Decision Making ◽  
Cognitive Model ◽  
Clinical Decision ◽  
Reasoning Patterns

OBJETIVE: Research on clinical reasoning has been useful in developing expert systems. These tools are based on Artificial Intelligence techniques which assist the physician in the diagnosis of complex diseases. The development of these systems is based on a cognitive model extracted through the identification of the clinical reasoning patterns applied by experts within the clinical decision-making context. This study describes the method of knowledge acquisition for the identification of the triggering symptoms used in the reasoning of three experts for the diagnosis of schizophrenia. METHOD: Three experts on schizophrenia, from two University centers in Sao Paulo, were interviewed and asked to identify and to represent the triggering symptoms for the diagnosis of schizophrenia according to the graph methodology. RESULTS: Graph methodology showed a remarkable disagreement on how the three experts established their diagnosis of schizophrenia. They differed in their choice of triggering-symptoms for the diagnosis of schizophrenia: disorganization, blunted affect and thought disturbances. CONCLUSIONS: The results indicate substantial differences between the experts as to their diagnostic reasoning patterns, probably under the influence of different theoretical tendencies. The disorganization symptom was considered to be the more appropriate to represent the heterogeneity of schizophrenia and also, to further develop an expert system for the diagnosis of schizophrenia.

Elaborating the role of reflection and individual differences in the study of folk-economic beliefs

2018 ◽  
Vol 41 ◽  
Author(s):  
Kevin Arceneaux
Keyword(s):  
Decision Making ◽  
Individual Differences ◽  
Cognitive Processes ◽  
Evolutionary History ◽  
Behavioral Responses ◽  
History Of ◽  
Economic Beliefs

AbstractIntuitions guide decision-making, and looking to the evolutionary history of humans illuminates why some behavioral responses are more intuitive than others. Yet a place remains for cognitive processes to second-guess intuitive responses – that is, to be reflective – and individual differences abound in automatic, intuitive processing as well.

The Role of Shared Decision-Making in Audiologic Rehabilitation

2014 ◽  
Vol 21 (1) ◽  
pp. 15-23 ◽  
Author(s):  
Helen Pryce ◽  
Amanda Hall
Keyword(s):  
Decision Making ◽  
Shared Decision Making ◽  
Behavior Changes ◽  
Shared Decision ◽  
Patient Centered ◽  
Treatment Information ◽  
Centered Care ◽  
Potential Risks ◽  
Audiologic Rehabilitation

Shared decision-making (SDM), a component of patient-centered care, is the process in which the clinician and patient both participate in decision-making about treatment; information is shared between the parties and both agree with the decision. Shared decision-making is appropriate for health care conditions in which there is more than one evidence-based treatment or management option that have different benefits and risks. The patient's involvement ensures that the decisions regarding treatment are sensitive to the patient's values and preferences. Audiologic rehabilitation requires substantial behavior changes on the part of patients and includes benefits to their communication as well as compromises and potential risks. This article identifies the importance of shared decision-making in audiologic rehabilitation and the changes required to implement it effectively.

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