scholarly journals Post-consumer wood in environmental decision-support tools

2002 ◽  
Vol 153 (3) ◽  
pp. 97-106 ◽  
Author(s):  
Frank Werner ◽  
Hans-Jörg Althaus ◽  
Klaus Richter
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Decision Support ◽  
Material Flow ◽  
Flow Analysis ◽  
Material Flow Analysis ◽  
Decision Making Process ◽  
Decision Support Tools ◽  
Support Tools ◽  
Environmental Decision

Environmental decision-support tools, such as life cycle assessment or material flow analysis, only support the decision-making process if, in addition to the causalities of the systems under study, their role within sustainable development is adequately depicted. This article outlines the basis of the two requirements for post-consumer wood in Switzerland.

scholarly journals Decision support tools to improve cancer diagnostic decision making in primary care: a systematic review

2019 ◽  
Vol 69 (689) ◽  
pp. e809-e818 ◽  
Author(s):  
Sophie Chima ◽  
Jeanette C Reece ◽  
Kristi Milley ◽  
Shakira Milton ◽  
Jennifer G McIntosh ◽  
...  
Keyword(s):  
Systematic Review ◽  
Primary Care ◽  
Decision Making ◽  
Decision Support ◽  
Cost Effectiveness ◽  
Cancer Diagnosis ◽  
Decision Support Tools ◽  
Diagnostic Decision ◽  
Support Tools ◽  
Diagnostic Decision Making

BackgroundThe diagnosis of cancer in primary care is complex and challenging. Electronic clinical decision support tools (eCDSTs) have been proposed as an approach to improve GP decision making, but no systematic review has examined their role in cancer diagnosis.AimTo investigate whether eCDSTs improve diagnostic decision making for cancer in primary care and to determine which elements influence successful implementation.Design and settingA systematic review of relevant studies conducted worldwide and published in English between 1 January 1998 and 31 December 2018.MethodPreferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed. MEDLINE, EMBASE, and the Cochrane Central Register of Controlled Trials were searched, and a consultation of reference lists and citation tracking was carried out. Exclusion criteria included the absence of eCDSTs used in asymptomatic populations, and studies that did not involve support delivered to the GP. The most relevant Joanna Briggs Institute Critical Appraisal Checklists were applied according to study design of the included paper.ResultsOf the nine studies included, three showed improvements in decision making for cancer diagnosis, three demonstrated positive effects on secondary clinical or health service outcomes such as prescribing, quality of referrals, or cost-effectiveness, and one study found a reduction in time to cancer diagnosis. Barriers to implementation included trust, the compatibility of eCDST recommendations with the GP’s role as a gatekeeper, and impact on workflow.ConclusioneCDSTs have the capacity to improve decision making for a cancer diagnosis, but the optimal mode of delivery remains unclear. Although such tools could assist GPs in the future, further well-designed trials of all eCDSTs are needed to determine their cost-effectiveness and the most appropriate implementation methods.

scholarly journals 3 Tackling Demolition Waste – An en route to Sustainable Development

2018 ◽  
Vol 8 (1) ◽  
pp. 8
Author(s):  
Nadia Qamar ◽  
Ayesha Alam Khurram
Keyword(s):  
Sustainable Development ◽  
Life Cycle Assessment ◽  
Life Cycle ◽  
Environmental Conditions ◽  
Material Flow ◽  
Flow Analysis ◽  
Material Flow Analysis ◽  
Construction And Demolition Waste ◽  
Water Tank ◽  
Demolition Waste

In Pakistan, construction and demolition waste(CDW) is generated in voluminous amount each year. CDW iswidely ill-handled and ultimately fed to landfills causing harm tothe already alarming environmental conditions. In order tosearch for the solution of this drastic matter, a study was done,which is explained in this paper. This paper presents the studydone at a demolition site near Karachi, in Sindh while thedemolition works were being carried out. At the site there wereold barracks which were being demolished. Before the demolitionworks were commenced, the site was surveyed and structuralcomponents of the barracks were counted and their dimensionswere measured. When the demolition was over, the demolishedwaste was calculated which comprised of concrete and masonryrubble, steel round bars, steel doors, steel windows, steel ceiling,steel girders, steel main gate, and plastic water tank. This studyinterpreted that construction and demolition (C&D) works wereprogressing considering the works’ deadline and the clients’requirements but the ecosystem’s ecology and the environmentalhealth were not taken into account. Recommendations are madeto handle CDW properly throughout its lifecycle. Theserecommendations aim to provide technological and logicalsolutions to grip CDW. The recommendations include wastereduction and reusing waste, life cycle assessment and costing,environmental and economic impact, material flow analysis, andadvanced computerized-tools.

scholarly journals Demonstration of Decision Support Tools for Sustainable Development

2000 ◽  
Author(s):  
David Earl Shropshire ◽  
Jacob Jordan Jacobson ◽  
Sharon Berrett ◽  
D. A. Cobb ◽  
P. Worhach
Keyword(s):  
Sustainable Development ◽  
Decision Support ◽  
Decision Support Tools ◽  
Support Tools

Opportunities and Strategies to Incorporate Ecosystem Services Knowledge and Decision Support Tools into Planning and Decision Making in Hawai‘i

2015 ◽  
Vol 55 (4) ◽  
pp. 884-899 ◽  
Author(s):  
Leah L. Bremer ◽  
Jade M. S. Delevaux ◽  
James J. K. Leary ◽  
Linda J. Cox ◽  
Kirsten L. L. Oleson
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Ecosystem Services ◽  
Decision Support Tools ◽  
Support Tools

The role of depression pharmacogenetic decision support tools in shared decision making

2017 ◽  
Vol 126 (1) ◽  
pp. 87-94 ◽  
Author(s):  
Katarina Arandjelovic ◽  
Harris A. Eyre ◽  
Eric Lenze ◽  
Ajeet B. Singh ◽  
Michael Berk ◽  
...  
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Shared Decision Making ◽  
Decision Support Tools ◽  
Shared Decision ◽  
Support Tools

A Knowledge-Based Imaging Informatics Approach for Managing Proton Beam Therapy of Cancer Patients

2007 ◽  
Vol 6 (4_suppl) ◽  
pp. 77-84 ◽  
Author(s):  
Brent J. Liu
Keyword(s):  
Decision Making ◽  
Radiation Therapy ◽  
Decision Support ◽  
Treatment Planning ◽  
Imaging Informatics ◽  
Patient Treatment ◽  
Decision Support Tools ◽  
Knowledge Based ◽  
Support Tools ◽  
Dicom Rt

The need for a unified patient-oriented information system to handle complex proton therapy (PT) imaging and informatics data during the course of patient treatment is becoming steadily apparent due to the ever increasing demands for better diagnostic treatment planning and more accurate information. Currently, this information is scattered throughout each of the different treatment and information systems in the oncology department. Furthermore, the lack of organization with standardized methods makes it difficult and time-consuming to navigate through the maze of data, resulting in challenges during patient treatment planning. We present a methodology to develop this electronic patient record (ePR) system based on DICOM standards and perform knowledge-based medical imaging informatics research on specific clinical scenarios where patients are treated with PT. Treatment planning is similar in workflow to traditional radiation therapy (RT) methods such as intensity-modulated radiation therapy (IMRT), which utilizes a priori knowledge to drive the treatment plan in an inverse manner. In March 2006, two new RT objects were drafted in a DICOM-RT Supplement 102 specifically for ion therapy, which includes PT. The standardization of DICOM-RT-ION objects and the development of a knowledge base as well as decision-support tools that can be add-on features to the ePR DICOM-RT system were researched. This methodology can be used to extend to PT and the development of future clinical decision-making scenarios during the course of the patient's treatment that utilize “inverse treatment planning.” We present the initial steps of this imaging and informatics methodology for PT and lay the foundation for development of future decision-support tools tailored to cancer patients treated with PT. By integrating decision-support knowledge and tools designed to assist in the decision-making process, a new and improved “ knowledge-enhanced treatment planning” approach can be realized.

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