A continuous planning framework with durative actions

2003 ◽  
Author(s):  
A. Coddington
Keyword(s):  
Planning Framework

Strategic planning in today's dynamic world

2005 ◽  
Vol 5 (2) ◽  
pp. 53-62
Author(s):  
Terrance M. Brueck
Keyword(s):  
Strategic Planning ◽  
Cause And Effect ◽  
Security Issues ◽  
Strategic Plans ◽  
Planning Framework ◽  
The Subject ◽  
New Framework

Utilities today must adapt quickly to complex changes in workforce, infrastructure, technology, and regulations, as well as outside factors of the economy, security issues, and societal trends. Linear, cause-and-effect strategic planning does not work well in today's world. Given these uncertainties, how can utilities develop meaningful and useful strategic plans? Faced with these challenges, a group of 18 leading international utilities, assisted through IWA, has developed new ways of strategic planning. This project, sponsored by AwwaRF and conducted by EMA, has created a dynamic and flexible strategic planning framework. A new framework, coupled with many of these utilities' experiences in strategic planning, is the subject of this paper.

Herding by caging: a formation-based motion planning framework for guiding mobile agents

2021 ◽  
Author(s):  
Haoran Song ◽  
Anastasiia Varava ◽  
Oleksandr Kravchenko ◽  
Danica Kragic ◽  
Michael Yu Wang ◽  
...  
Keyword(s):  
Motion Planning ◽  
Mobile Agents ◽  
Planning Framework

scholarly journals Strategies to Integrate Genomic Medicine into Clinical Care: Evidence from the IGNITE Network

2021 ◽  
Vol 11 (7) ◽  
pp. 647
Author(s):  
Nina R. Sperber ◽  
Olivia M. Dong ◽  
Megan C. Roberts ◽  
Paul Dexter ◽  
Amanda R. Elsey ◽  
...  
Keyword(s):  
Precision Medicine ◽  
Program Implementation ◽  
Clinical Care ◽  
Genomic Medicine ◽  
Implementation Strategies ◽  
Clinical Decision ◽  
Implementing Change ◽  
Implementation Outcomes ◽  
Planning Framework

The complexity of genomic medicine can be streamlined by implementing some form of clinical decision support (CDS) to guide clinicians in how to use and interpret personalized data; however, it is not yet clear which strategies are best suited for this purpose. In this study, we used implementation science to identify common strategies for applying provider-based CDS interventions across six genomic medicine clinical research projects funded by an NIH consortium. Each project’s strategies were elicited via a structured survey derived from a typology of implementation strategies, the Expert Recommendations for Implementing Change (ERIC), and follow-up interviews guided by both implementation strategy reporting criteria and a planning framework, RE-AIM, to obtain more detail about implementation strategies and desired outcomes. We found that, on average, the three pharmacogenomics implementation projects used more strategies than the disease-focused projects. Overall, projects had four implementation strategies in common; however, operationalization of each differed in accordance with each study’s implementation outcomes. These four common strategies may be important for precision medicine program implementation, and pharmacogenomics may require more integration into clinical care. Understanding how and why these strategies were successfully employed could be useful for others implementing genomic or precision medicine programs in different contexts.

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