scholarly journals Visualization-Based Decision Tool for Urban Meteorological Modeling

2013 ◽  
Vol 40 (2) ◽  
pp. 271-288 ◽  
Author(s):  
Daniel G Aliaga ◽  
Carlo Vanegas ◽  
Ming Lei ◽  
Dev Niyogi
Keyword(s):  
Decision Tool ◽  
Meteorological Modeling

A practical overview and decision tool for analyzing recurrent events in mental illness: A review

2021 ◽  
Vol 137 ◽  
pp. 7-13
Author(s):  
Tyler S. Kaster ◽  
Simone N. Vigod ◽  
Tara Gomes ◽  
Duminda N. Wijeysundera ◽  
Daniel M. Blumberger ◽  
...  
Keyword(s):  
Mental Illness ◽  
Recurrent Events ◽  
Decision Tool

Threshold Value for Chlorophyll Meter as Decision Tool for Nitrogen Management of Potato

2006 ◽  
Vol 98 (3) ◽  
pp. 496-506 ◽  
Author(s):  
Marguerite Olivier ◽  
Jean-Pierre Goffart ◽  
Jean-François Ledent
Keyword(s):  
Threshold Value ◽  
Nitrogen Management ◽  
Decision Tool ◽  
Chlorophyll Meter

scholarly journals 31 Head home: a prospective cohort study of a nurse led paediatric head injury clinical decision tool at a district general hospital

2020 ◽  
Vol 37 (12) ◽  
pp. 853-854
Author(s):  
Patrick Aldridge ◽  
Heather Castle ◽  
Emma Russell ◽  
Clare Phillips ◽  
Richard Guerrero-Luduena ◽  
...  
Keyword(s):  
Head Injury ◽  
Negative Predictive Value ◽  
Predictive Value ◽  
Head Injuries ◽  
Clinical Decision ◽  
Decision Tool ◽  
Intracranial Injury ◽  
Multi Centre Study ◽  
Paediatric Head Injury ◽  
Published Evidence

Aims/Objectives/BackgroundObjectivesTo assess if application of a nurse-led paediatric head injury clinical decision tool would be safe compared to current practice.Background>700,000 children attend UK hospitals’ each year with a head injury. Research indicates <1% undergo neurosurgical intervention. No published evidence for nurse-led discharge of paediatric head injuries exists.Methods/DesignMethods – All paediatric (<17 years) patients with head injuries presenting to our Emergency department (ED) 1st May to 31st October 2018 were prospectively screened by a nurse using a mandated electronic ‘Head Injury Discharge At Triage’ questionnaire (HIDATq). We determined which patients underwent computed tomography (CT) brain and whether there was a clinically important intracranial injury or re-presentation to ED. The negative predictive value of the screening tool was assessed. We determined what proportion of patients could have been sent home from triage using HIDATq.Results/ConclusionsResults - Of 1739 patients screened; 61 had CTs performed due to head injury (6 abnormal) with a CT rate of 3.5% and 2% re-presentations. Of the entire cohort, 1052 screened negative. 1 CT occurred in this group showing no abnormalities. Of those screened negative: 349/1052 (33%) had ‘no other injuries’ and 543/1052 (52%) had ‘abrasions or lacerations’. HIDATq’s negative predictive value for CT was 99.9% (95% Confidence interval (CI) 99.4–99.9%) and 100% (CI 99.0–100%) for intracranial injury. The positive predictive value of the tool was low. Five patients screened negative and re-presented within 72hrs but did not require CT imaging.Conclusion - A negative HIDATq appears safe in our ED. Potentially 20% (349/1739) of all patients with head injuries presenting to our department could be discharged by nurses at triage with adequate safety netting advice. This increases to 50% (543/1739) if patients with lacerations or abrasions were treated and discharged at triage. A large multi-centre study is required to validate the tool.

Decision Tool for Selecting the Optimal Techniques for Cost and Schedule Reduction in Capital Projects

2011 ◽  
Vol 137 (9) ◽  
pp. 645-655 ◽  
Author(s):  
Mehmet Emre Bayraktar ◽  
Makarand Hastak ◽  
Sanjiv Gokhale ◽  
Bhavin Safi
Keyword(s):  
Decision Tool ◽  
Capital Projects

Development of a decision-making tool for reporting drivers with mild dementia and mild cognitive impairment to transportation administrators

2017 ◽  
Vol 29 (9) ◽  
pp. 1551-1563 ◽  
Author(s):  
Duncan H. Cameron ◽  
Carla Zucchero Sarracini ◽  
Linda Rozmovits ◽  
Gary Naglie ◽  
Nathan Herrmann ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Delphi Study ◽  
Qualitative Interviews ◽  
Decision Support Tool ◽  
Driving Safety ◽  
Decision Tool ◽  
Computerized Decision Support ◽  
Support Tool ◽  
Mild Dementia

ABSTRACTBackground:Driving in persons with dementia poses risks that must be counterbalanced with the importance of the care for autonomy and mobility. Physicians often find substantial challenges in the assessment and reporting of driving safety for persons with dementia. This paper describes a driving in dementia decision tool (DD-DT) developed to aid physicians in deciding when to report older drivers with either mild dementia or mild cognitive impairment to local transportation administrators.Methods:A multi-faceted, computerized decision support tool was developed, using a systematic literature and guideline review, expert opinion from an earlier Delphi study, as well as qualitative interviews and focus groups with physicians, caregivers of former drivers with dementia, and transportation administrators. The tool integrates inputs from the physician-user about the patient's clinical and driving history as well as cognitive findings, and it produces a recommendation for reporting to transportation administrators. This recommendation is translated into a customized reporting form for the transportation authority, if applicable, and additional resources are provided for the patient and caregiver.Conclusions:An innovative approach was needed to develop the DD-DT. The literature and guideline review confirmed the algorithm derived from the earlier Delphi study, and barriers identified in the qualitative research were incorporated into the design of the tool.

Using a decision tool to evaluate for osteomyelitis in children

2021 ◽  
Vol 34 (10) ◽  
pp. 29-32
Author(s):  
Jason J. Good ◽  
Michael J. Rabener ◽  
Geoffrey W. Fisher
Keyword(s):  
Decision Tool
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