Strategies and Decision-Support Tools for Optimizing Long-Term Groundwater Monitoring Plans—MAROS 2.0

Communicating about environmental risks requires understanding and addressing stakeholder needs, perspectives, and anticipated uses for communication products and decision-support tools. This paper demonstrates how long-term dialogue between scientists and stakeholders can be facilitated by repeated stakeholder focus groups. We describe a dialogic process for developing science-based decision-support tools as part of a larger sea level rise research project in the Gulf of Mexico. We demonstrate how focus groups can be used effectively in tool development, discuss how stakeholders plan to use tools for decision-making and broader public outreach, and describe features that stakeholders perceive would make products more usable.

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Extracorporeal Support Prognostication—Time to Move the Goal Posts?

Membranes ◽

10.3390/membranes11070537 ◽

2021 ◽

Vol 11 (7) ◽

pp. 537

Author(s):

Neel Shah ◽

Ahmed S. Said

Keyword(s):

Decision Making ◽

Decision Support ◽

Extracorporeal Membrane Oxygenation ◽

Decision Support Tools ◽

Long Term Outcomes ◽

Future Directions ◽

Support Tools ◽

Extracorporeal Support ◽

Improved Outcome

Advances in extracorporeal membrane oxygenation (ECMO) technology are associated with expanded indications, increased utilization and improved outcome. There is growing interest in developing ECMO prognostication scores to aid in bedside decision making. To date, the majority of available scores have been limited to mostly registry-based data and with mortality as the main outcome of interest. There continues to be a gap in clinically applicable decision support tools to aid in the timing of ECMO cannulation to improve patients’ long-term outcomes. We present a brief review of the commonly available adult and pediatric ECMO prognostication tools, their limitations, and future directions.

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Benefits of decision support tools for users with differing levels of domain expertise

PsycEXTRA Dataset ◽

10.1037/e577572012-032 ◽

2006 ◽

Author(s):

Caroline C. Hayes ◽

Richard A. Anderson

Keyword(s):

Decision Support ◽

Decision Support Tools ◽

Support Tools ◽

Domain Expertise

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Benefits of decision support tools for users with differing levels of domain expertise

PsycEXTRA Dataset ◽

10.1037/e577572012-031 ◽

2006 ◽

Author(s):

Caroline C. Hayes ◽

Richard A. Anderson

Keyword(s):

Decision Support ◽

Decision Support Tools ◽

Support Tools ◽

Domain Expertise

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Decision support tools can help GPs reduce antibiotic prescriptions for respiratory conditions

10.3310/signal-000769 ◽

2019 ◽

Author(s):

Keyword(s):

Decision Support ◽

Decision Support Tools ◽

Support Tools ◽

Respiratory Conditions

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Decision Support Tools For Assessing Petroleum Upstream Investments

10.34276/1822-010-001-018 ◽

2020 ◽

pp. 323

Author(s):

Nour Elislam Djedaa ◽

Abderrezak Moulay Lakhdar

Keyword(s):

Decision Support ◽

Decision Support Tools ◽

Support Tools

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Elicitation of expert knowledge to develop decision support tools for use in water demand management planning

Water Science & Technology Water Supply ◽

10.2166/ws.2007.110 ◽

2007 ◽

Vol 7 (5-6) ◽

pp. 53-60

Author(s):

D. Inman ◽

D. Simidchiev ◽

P. Jeffrey

Keyword(s):

Decision Support ◽

Water Demand ◽

Expert Knowledge ◽

Demand Management ◽

Decision Processes ◽

Conservation Strategy ◽

Influence Diagrams ◽

Decision Support Tools ◽

Water Demand Management ◽

Support Tools

This paper examines the use of influence diagrams (IDs) in water demand management (WDM) strategy planning with the specific objective of exploring how IDs can be used in developing computer-based decision support tools (DSTs) to complement and support existing WDM decision processes. We report the results of an expert consultation carried out in collaboration with water industry specialists in Sofia, Bulgaria. The elicited information is presented as influence diagrams and the discussion looks at their usefulness in WDM strategy design and the specification of suitable modelling techniques. The paper concludes that IDs themselves are useful in developing model structures for use in evidence-based reasoning models such as Bayesian Networks, and this is in keeping with the objectives set out in the introduction of integrating DSTs into existing decision processes. The paper will be of interest to modellers, decision-makers and scientists involved in designing tools to support resource conservation strategy implementation.

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