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Related Concept Videos

Modeling in Therapy01:26

Modeling in Therapy

Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in situations...
Models of Health Promotion and Illness Prevention I01:25

Models of Health Promotion and Illness Prevention I

A model is a theoretical way to understand a concept or an idea. Models can overcome barriers to health regardless of diverse economic and cultural backgrounds. In addition, models make the task easier by providing different ways to approach complex issues. There are two major health promotion models: the health belief model and the health promotion model.
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
Modeling and Similitude01:12

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Clearance Models: Physiological Models01:09

Clearance Models: Physiological Models

Drug clearance is a critical pharmacokinetic process involving the irreversible removal of drugs from the body through various organs over a specified time period. Physiological models are indispensable in determining organ-specific clearance, defined by the proportion of the drug eliminated per unit of time from the organ's blood volume.
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Steps in the Modeling Process01:14

Steps in the Modeling Process

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Models of Health Promotion and Illness Prevention II01:18

Models of Health Promotion and Illness Prevention II

The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
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Related Experiment Video

Updated: Jun 15, 2026

Scaled Anatomical Model Creation of Biomedical Tomographic Imaging Data and Associated Labels for Subsequent Sub-surface Laser Engraving (SSLE) of Glass Crystals
07:57

Scaled Anatomical Model Creation of Biomedical Tomographic Imaging Data and Associated Labels for Subsequent Sub-surface Laser Engraving (SSLE) of Glass Crystals

Published on: April 25, 2017

[Modeling in value-based medicine].

A S Neubauer1, C Hirneiss, A Kampik

  • 1Augenklinik der Ludwig-Maximilians-Universität, München, Deutschland. Aljoscha.Neubauer@med.uni-muenchen.de

Der Ophthalmologe : Zeitschrift Der Deutschen Ophthalmologischen Gesellschaft
|March 3, 2010
PubMed
Summary
This summary is machine-generated.

Economic modeling in value-based medicine (VBM) aids decision-making by predicting clinical and economic outcomes. Key methods like decision trees and Markov models, along with sensitivity analyses, help manage uncertainty for better healthcare choices.

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Area of Science:

  • Health economics
  • Decision science
  • Ophthalmology

Context:

  • Value-based medicine (VBM) relies on robust decision support systems.
  • Economic modeling integrates diverse evidence to predict clinical and economic consequences.
  • Ophthalmology provides a practical context for illustrating economic modeling techniques.

Purpose:

  • To explain key economic modeling methods used in value-based medicine.
  • To define common model types, including decision trees, Markov models, and discrete event simulation (DES).
  • To outline model validation processes and the importance of addressing uncertainty.

Summary:

  • Economic modeling is crucial for VBM, offering predictive insights into clinical and economic impacts.
  • Commonly used models include decision trees, Markov models, and DES, with validation encompassing internal, external, and predictive properties.
  • Sensitivity analyses, such as tornado plots and cost-effectiveness acceptability curves, are employed to manage inherent uncertainties.

Impact:

  • Enhanced decision-making in healthcare by providing a clearer understanding of potential outcomes.
  • Improved resource allocation and strategic planning within healthcare systems.
  • Facilitates more informed clinical and economic choices, especially in specialized fields like ophthalmology.