Health Decision Analysis: Evolution, Trends, and Emerging Topics-Reference-Cited by-同舟云学术

Health Decision Analysis: Evolution, Trends, and Emerging Topics

Published:2022-12 Issue:4 Volume:19 Page:255-264
ISSN:1545-8490
Container-title:Decision Analysis
language:en
Short-container-title:Decision Analysis

Author:

Long Elisa F.¹^ORCID,Montibeller Gilberto²³^ORCID,Zhuang Jun⁴^ORCID

Affiliation:

1. Anderson School of Management, University of California, Los Angeles, Los Angeles, California 90272;

2. School of Business and Economics, Loughborough University, Loughborough LE11 3TU, United Kingdom;

3. Center for Risk and Economic Analysis of Threats and Emergencies (CREATE), University of Southern California, Los Angeles, California 90015;

4. Department of Industrial and Systems Engineering, University at Buffalo, Buffalo, New York 14260

Abstract

Health remains one of the most challenging realms for decision makers and policy making while critical for the well-being of humans, the stability of societies, and the development of economies. Decision making in this field ranges from medical doctors identifying the best treatments for patients, healthcare companies selecting the most promising drugs for development, healthcare providers deciding for adequate levels of resourcing, health regulators deciding whether to approve a new medicine or health technology, to regional and national health departments identifying how to increase the health security of regions and countries. In this positioning paper, and introduction to this Special Issue, we present the history, evolution, and trends of health decision analysis and suggest that these developments and news trends can be conceptualized as an emerging field of applied research for our discipline: Health Decision Analysis.

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

General Decision Sciences

Link

https://pubsonline.informs.org/doi/pdf/10.1287/deca.2022.0460

Reference68 articles.

1. When Algorithmic Predictions Use Human-Generated Data: A Bias-Aware Classification Algorithm for Breast Cancer Diagnosis

2. Enhancing Regulatory Decision Making for Postmarket Drug Safety

3. A Broader View of Designing the Liver Allocation System

4. Adaptive Clinical Trial Designs with Surrogates: When Should We Bother?

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