scholarly journals Educating good decisions

2017 ◽  
Vol 1 (2) ◽  
pp. 162-176 ◽  
Author(s):  
ELLEN PETERS
Keyword(s):  
Formal Education ◽  
Decision Aids ◽  
Decision Processes ◽  
Decision Makers ◽  
Evidence Based ◽  
Formal Schooling ◽  
Teaching Knowledge ◽  
Specific Choice ◽  
Decision Type ◽  
Specific Competency

AbstractCan we educate decision-makers to make better decisions? In the present paper, I argue that we can in at least two broad ways: (1) teaching concrete knowledge about a specific decision or decision type; and (2) teaching more abstract decision-making competencies that are thought to lead to better decisions. Teaching knowledge can be done using decision aids and similar techniques that provide important information about a specific choice (e.g. a medical treatment option). In these cases, information presented using evidence-based techniques to improve comprehension and use of information will have greater effects on judgements and choices. Teaching more abstract decision competencies, on the other hand, involves formal schooling (with the bulk of formal education falling during childhood) or training in a specific competency that is important to decision processes and outcomes; I use numeracy interventions as an exemplar.

scholarly journals How Can Scientific Literature Support Decision-Making in the Renovation of Historic Buildings? An Evidence-Based Approach for Improving the Performance of Walls

2021 ◽  
Vol 13 (4) ◽  
pp. 2266
Author(s):  
Valentina Marincioni ◽  
Virginia Gori ◽  
Ernst Jan de Place Hansen ◽  
Daniel Herrera-Avellanosa ◽  
Sara Mauri ◽  
...  
Keyword(s):  
Energy Performance ◽  
Decision Makers ◽  
Cultural Value ◽  
Correct Selection ◽  
Evidence Based ◽  
Historic Buildings ◽  
Indoor Environmental Quality ◽  
Building Stock ◽  
Advantages And Disadvantages ◽  
Assessment Design

Buildings of heritage significance due to their historical, architectural, or cultural value, here called historic buildings, constitute a large proportion of the building stock in many countries around the world. Improving the performance of such buildings is necessary to lower the carbon emissions of the stock, which generates around 40% of the overall emissions worldwide. In historic buildings, it is estimated that heat loss through external walls contributes significantly to the overall energy consumption, and is associated with poor thermal comfort and indoor air quality. Measures to improve the performance of walls of historic buildings require a balance between energy performance, indoor environmental quality, heritage significance, and technical compatibility. Appropriate wall measures are available, but the correct selection and implementation require an integrated process throughout assessment (planning), design, construction, and use. Despite the available knowledge, decision-makers often have limited access to robust information on tested retrofit measures, hindering the implementation of deep renovation. This paper provides an evidence-based approach on the steps required during assessment, design, and construction, and after retrofitting through a literature review. Moreover, it provides a review of possible measures for wall retrofit within the deep renovation of historic buildings, including their advantages and disadvantages and the required considerations based on context.

CAN BAYESIAN METHODS MAKE DATA AND ANALYSES MORE RELEVANT TO DECISION MAKERS?

2001 ◽  
Vol 17 (1) ◽  
pp. 114-122 ◽  
Author(s):  
Steven H. Sheingold
Keyword(s):  
Decision Making ◽  
Bayesian Methods ◽  
Paradigm Shift ◽  
Relevant Information ◽  
Decision Makers ◽  
Evidence Based ◽  
Critical Importance ◽  
Bayesian Approaches ◽  
Bayesian Analyses ◽  
And Performance

Decision making in health care has become increasingly reliant on information technology, evidence-based processes, and performance measurement. It is therefore a time at which it is of critical importance to make data and analyses more relevant to decision makers. Those who support Bayesian approaches contend that their analyses provide more relevant information for decision making than do classical or “frequentist” methods, and that a paradigm shift to the former is long overdue. While formal Bayesian analyses may eventually play an important role in decision making, there are several obstacles to overcome if these methods are to gain acceptance in an environment dominated by frequentist approaches. Supporters of Bayesian statistics must find more accommodating approaches to making their case, especially in finding ways to make these methods more transparent and accessible. Moreover, they must better understand the decision-making environment they hope to influence. This paper discusses these issues and provides some suggestions for overcoming some of these barriers to greater acceptance.

scholarly journals 18.H. Workshop: Bringing evidence during public health emergencies: addressing the challenge through HTA

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
◽  
Keyword(s):  
Public Health ◽  
Decision Making ◽  
Emergency Preparedness ◽  
Public Health Emergency ◽  
Decision Makers ◽  
Evidence Based ◽  
Public Health Emergencies ◽  
Response Planning ◽  
Emergency Preparedness And Response ◽  
Public Health Emergency Preparedness

Abstract Evidence-based decision-making is central to public health. Implementing evidence-informed actions is most challenging during a public health emergency as in an epidemic, when time is limited, scientific uncertainties and political pressures tend to be high, and irrefutable evidence may be lacking. The process of including evidence in public health decision-making and for evidence-informed policy, in preparation, and during public health emergencies, is not systematic and is complicated by many barriers as the absences of shared tools and approaches for evidence-based preparedness and response planning. Many of today's public health crises are also cross-border, and countries need to collaborate in a systematic and standardized way in order to enhance interoperability and to implement coordinated evidence-based response plans. To strengthen the impact of scientific evidence on decision-making for public health emergency preparedness and response, it is necessary to better define mechanisms through which interdisciplinary evidence feeds into decision-making processes during public health emergencies and the context in which these mechanisms operate. As a multidisciplinary, standardized and evidence-based decision-making tool, Health Technology Assessment (HTA) represents and approach that can inform public health emergency preparedness and response planning processes; it can also provide meaningful insights on existing preparedness structures, working as bridge between scientists and decision-makers, easing knowledge transition and translation to ensure that evidence is effectively integrated into decision-making contexts. HTA can address the link between scientific evidence and decision-making in public health emergencies, and overcome the key challenges faced by public health experts when advising decision makers, including strengthening and accelerating knowledge transfer through rapid HTA, improving networking between actors and disciplines. It may allow a 360° perspective, providing a comprehensive view to decision-making in preparation and during public health emergencies. The objective of the workshop is to explore and present how HTA can be used as a shared and systematic evidence-based tool for Public Health Emergency Preparedness and Response, in order to enable stakeholders and decision makers taking actions based on the best available evidence through a process which is systematic and transparent. Key messages There are many barriers and no shared mechanisms to bring evidence in decision-making during public health emergencies. HTA can represent the tool to bring evidence-informed actions in public health emergency preparedness and response.

A Blueprint for Undergraduate Students to Work on Medical Cases (Preprint)

2021 ◽  
Author(s):  
Alhad Mulkalwar
Keyword(s):  
Case Report ◽  
Undergraduate Students ◽  
Formal Education ◽  
Medical Literature ◽  
Medical Problem ◽  
Evidence Based ◽  
Medical Progress ◽  
Based Medicine ◽  
Publishable Case Report

UNSTRUCTURED A case report is a detailed narrative that describes the symptoms, signs, diagnosis, treatment, and follow-up of a medical problem of an individual patient. They usually describe an unusual or novel occurrence and although they lie at the bottom of the hierarchy of the Evidence Based Medicine Pyramid, they still remain one of the cornerstones of medical progress and provide key additions to the existing medical literature. Unfortunately, abysmally few physicians-in-training receive a formal education regarding what constitutes a publishable case report. The article throws light on this aspect of medical education

Implementing Evidence Based Research

2021 ◽  
Author(s):  
Laura Huey ◽  
Renée J. Mitchell ◽  
Hina Kalyal ◽  
Roger Pegram
Keyword(s):  
North American ◽  
Organizational Structures ◽  
Decision Makers ◽  
Evidence Based ◽  
Barriers To Change ◽  
Police Forces

This practical and accessible guide shows how police forces of all sizes can successfully adopt evidence-based methods. Drawing on experiences of North American policing, it sets out ways for decision makers to reshape practices, strategies and organizational structures, and overcome barriers to change.

Who’s making the decisions? How managers can harness artificial intelligence and remain in charge

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pooya Tabesh
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Decision Making ◽  
Big Data ◽  
Digital Transformation ◽  
Decision Processes ◽  
Decision Makers ◽  
Content Type ◽  
Human Decision ◽  
Practical Implications

Purpose While it is evident that the introduction of machine learning and the availability of big data have revolutionized various organizational operations and processes, existing academic and practitioner research within decision process literature has mostly ignored the nuances of these influences on human decision-making. Building on existing research in this area, this paper aims to define these concepts from a decision-making perspective and elaborates on the influences of these emerging technologies on human analytical and intuitive decision-making processes. Design/methodology/approach The authors first provide a holistic understanding of important drivers of digital transformation. The authors then conceptualize the impact that analytics tools built on artificial intelligence (AI) and big data have on intuitive and analytical human decision processes in organizations. Findings The authors discuss similarities and differences between machine learning and two human decision processes, namely, analysis and intuition. While it is difficult to jump to any conclusions about the future of machine learning, human decision-makers seem to continue to monopolize the majority of intuitive decision tasks, which will help them keep the upper hand (vis-à-vis machines), at least in the near future. Research limitations/implications The work contributes to research on rational (analytical) and intuitive processes of decision-making at the individual, group and organization levels by theorizing about the way these processes are influenced by advanced AI algorithms such as machine learning. Practical implications Decisions are building blocks of organizational success. Therefore, a better understanding of the way human decision processes can be impacted by advanced technologies will prepare managers to better use these technologies and make better decisions. By clarifying the boundaries/overlaps among concepts such as AI, machine learning and big data, the authors contribute to their successful adoption by business practitioners. Social implications The work suggests that human decision-makers will not be replaced by machines if they continue to invest in what they do best: critical thinking, intuitive analysis and creative problem-solving. Originality/value The work elaborates on important drivers of digital transformation from a decision-making perspective and discusses their practical implications for managers.

scholarly journals Correlates of Cognitive Load in Surrogate Decision Makers of the Critically III

2018 ◽  
Vol 41 (5) ◽  
pp. 650-666 ◽  
Author(s):  
Grant A. Pignatiello ◽  
Ronald L. Hickman
Keyword(s):  
Emotion Regulation ◽  
Cognitive Load ◽  
Critically Ill ◽  
Decision Aids ◽  
Cross Sectional Study ◽  
Decision Makers ◽  
Expressive Suppression ◽  
Cross Sectional ◽  
Surrogate Decision Makers ◽  
Surrogate Decision

Surrogate decision makers (SDMs) of the critically ill experience intense emotions and transient states of decision fatigue. These factors may increase the cognitive load experienced by electronic decision aids. This cross-sectional study explored the associations of emotion regulation (expressive suppression and cognitive reappraisal) and decision fatigue with cognitive load (intrinsic and extraneous) among a sample of 97 SDMs of the critically ill. After completing subjective measures of emotion regulation and decision fatigue, participants were exposed to an electronic decision aid and completed a subjective measurement of cognitive load. Multiple regression analyses indicated that decision fatigue predicted intrinsic cognitive load and expressive suppression predicted extraneous cognitive load. Emotion regulation and decision fatigue represent modifiable determinants of cognitive load among SDMs exposed to electronic decision aids.

HARNESSING HEURISTICS FOR ECONOMIC POLICY

2018 ◽  
Vol 34 (2) ◽  
pp. 135-163
Author(s):  
Ramzi Mabsout ◽  
Jana G. Mourad
Keyword(s):  
Economic Policy ◽  
21St Century ◽  
Decision Makers ◽  
Policy Implications ◽  
Evidence Based ◽  
Fast And Frugal Heuristics ◽  
Changing Environments ◽  
Effective Decision ◽  
Biases And Heuristics ◽  
Behavioural Sciences

Abstract:The effectiveness of heuristics has received contradicting interpretations in the behavioural sciences. We study the policy implications of two programmes that dispute the effectiveness of heuristics – the biases and heuristics and the fast and frugal heuristics programmes. While the first blames heuristics for most errors in judgement, the second posits heuristics as simple mental algorithms that work well in a range of environments. We argue that the fast and frugal programme is less paternalistic insofar as it models humans as effective decision-makers in a range of environments. However, in the rapidly changing environments of the 21st century, both are needed to inform evidence-based policies.

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