scholarly journals Education decision making at medical schools: there must be a better way

2021 ◽  
Vol 12 (6) ◽  
pp. 1-5
Author(s):  
Marcel F D'Eon ◽  
Mayland Reilly ◽  
Renee Page
1977 ◽  
Vol 52 (8) ◽  
pp. 366-367
Author(s):  
John J. Stallard ◽  
Margaret J. Hilton

Author(s):  
James W. Banks ◽  
Leandro S. Carvalho ◽  
Francisco Perez-Arce

2019 ◽  
Vol 48 (5) ◽  
pp. 287-295 ◽  
Author(s):  
Fiona Hollands ◽  
Yilin Pan ◽  
Maya Escueta

Education decision makers routinely make choices among programs and strategies to implement. Policy demands increasingly require that such decisions are based on evidence regarding program effectiveness at improving student outcomes. However, research evidence is but one of the considerations that practitioners must juggle, along with local conditions, capacity, resource availability, and stakeholder values. We investigated the feasibility of applying a multicriteria decision-making framework based on cost-utility analysis to facilitate evidence-based decisions by educators. Working with a total of 183 aspiring school leaders in class settings, we determined to what extent they could implement the initial steps of the framework. We subsequently invited three educators to apply the full framework to substantive decisions in their schools and report the results.


2015 ◽  
Vol 90 ◽  
pp. S1-S4 ◽  
Author(s):  
Karen Hughes Miller ◽  
Bonnie M. Miller ◽  
Reena Karani

2021 ◽  
Author(s):  
Matthew Nagy ◽  
Nathan Radakovich ◽  
Aziz Nazha

UNSTRUCTURED The rapid development of machine learning (ML) applications in healthcare promises to transform the landscape of healthcare. In order for ML advancements to be effectively utilized in clinical care, it is necessary for the medical workforce to be prepared to handle these changes. As physicians in training are exposed to a wide breadth of clinical tools during medical school, this offers an ideal opportunity to introduce ML concepts. A foundational understanding of ML will not only be practically useful for clinicians, but will also address ethical concerns for clinical decision making. While select medical schools have made effort to integrate ML didactics and practice into their curriculum, we argue that foundational ML principles should be taught to broadly to medical students across the country.


2019 ◽  
pp. 206-228
Author(s):  
Kevin P. Brady ◽  
Charles J. Russo ◽  
Cynthia A. Dieterich ◽  
Allan G. Osborne ◽  
Nicole D. Snyder

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