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Related Concept Videos

Decision Making01:20

Decision Making

Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
Role of Communication in the Nursing Process II: Planning and Implementation01:25

Role of Communication in the Nursing Process II: Planning and Implementation

Several factors are considered while creating a patient's care plan. Motivation is a factor in improving communication, and patients often require encouragement to try different approaches involving significant change. It is essential to involve the patient and family in decisions about the plan of care to determine whether the suggested methods are acceptable. Consider meeting critical comfort and safety needs before introducing new communication methods and techniques. Allow adequate time for...
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
Decision Making: P-value Method01:09

Decision Making: P-value Method

The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can have a...
Levels of Communication II: Organizational, Public, and Group Dynamics01:27

Levels of Communication II: Organizational, Public, and Group Dynamics

Effective communication is the foundation of a good organization. Communication is the lifeblood of an organization that connects the group with messages. In an organization, communication occurs in upward, downward, and horizontal lines. Downward communication travels from the administrative and senior levels to the staff through official channels such as manuals, rules and regulations, and organizational charts. Staff members initiate upward communication, which is addressed to executives and...
Barriers to Effective Communication I01:30

Barriers to Effective Communication I

A communication barrier is any distortion or interruption during a conversation, resulting in miscommunication of the message. A good communicator should know these barriers and continuously check for the listener's understanding by obtaining feedback.
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Related Experiment Video

Updated: May 17, 2026

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients
05:48

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients

Published on: June 12, 2020

Good decision making requires good communication.

Baruch Fischhoff1

  • 1Department of Social and Decision Sciences, Carnegie Mellon University, Pittsburgh, PA 15213-3890, USA. baruch@cmu.edu

Drug Safety
|October 16, 2012
PubMed
Summary
This summary is machine-generated.

Regulatory decisions require clear communication between experts and stakeholders. The US FDA's Benefit-Risk Framework enhances this process by integrating expert judgment and computational methods for sound decision-making.

Related Experiment Videos

Last Updated: May 17, 2026

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients
05:48

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients

Published on: June 12, 2020

Area of Science:

  • Regulatory Science
  • Decision Analysis
  • Risk Management

Background:

  • Effective regulatory decision-making hinges on robust communication channels.
  • Methods must balance expert judgment with computational approaches for sound outcomes.
  • Transparency, neutrality, and evaluability are key goals in regulatory science.

Purpose of the Study:

  • To evaluate methods for regulatory decision-making that facilitate expert and stakeholder communication.
  • To assess how different decision-making approaches impact the goals of sound decision-making.
  • To introduce and examine the US Food and Drug Administration's (FDA) Benefit-Risk Framework.

Main Methods:

  • Analysis of decision-making methods based on reliance on expert judgment versus computational methods.
  • Evaluation of methods against criteria for sound decision-making: breadth, depth, precision, neutrality, evaluability, and transparency.
  • Case study or examination of the application of the FDA's Benefit-Risk Framework.

Main Results:

  • Decision-making methods differ in their capacity to meet sound decision-making goals.
  • The Benefit-Risk Framework integrates judgment and computation, acknowledging their respective strengths and limitations.
  • The framework necessitates and promotes improved communication regarding risks and benefits.

Conclusions:

  • The Benefit-Risk Framework offers a structured approach to regulatory decision-making.
  • Effective communication is integral to both the application and success of the Benefit-Risk Framework.
  • This framework supports more transparent and evaluable regulatory choices.