scholarly journals Aether: Leveraging Linear Programming for Optimal Cloud Computing In Genomics

2017 ◽  
Author(s):  
Jacob M. Luber ◽  
Braden T. Tierney ◽  
Evan M. Cofer ◽  
Chirag J. Patel ◽  
Aleksandar D. Kostic
Keyword(s):  
Cloud Computing ◽  
Linear Programming ◽  
Data Analysis ◽  
De Novo ◽  
Cost Savings ◽  
Cost Effective ◽  
Link Type ◽  
Data Production ◽  
The Cost

AbstractAcross biology we are seeing rapid developments in scale of data production without a corresponding increase in data analysis capabilities. Here, we present Aether (http://aether.kosticlab.org), an intuitive, easy-to-use, cost-effective, and scalable framework that uses linear programming (LP) to optimally bid on and deploy combinations of underutilized cloud computing resources. Our approach simultaneously minimizes the cost of data analysis while maximizing its efficiency and speed. As a test, we used Aether to de novo assemble 1572 metagenomic samples, a task it completed in merely 13 hours with cost savings of approximately 80% relative to comparable methods.

Pound Wise and Penny Foolish? Weight Loss and The Dynamics of Health Care Spending

2011 ◽  
Vol 14 (2) ◽  
Author(s):  
Thomas G Koch
Keyword(s):  
Weight Loss ◽  
Cost Savings ◽  
Cost Effective ◽  
Economic Consequences ◽  
Health Care Spending ◽  
Order Of Magnitude ◽  
Dynamic Measures ◽  
The Cost ◽  
The Impact ◽  
The Relationship

Current estimates of obesity costs ignore the impact of future weight loss and gain, and may either over or underestimate economic consequences of weight loss. In light of this, I construct static and dynamic measures of medical costs associated with body mass index (BMI), to be balanced against the cost of one-time interventions. This study finds that ignoring the implications of weight loss and gain over time overstates the medical-cost savings of such interventions by an order of magnitude. When the relationship between spending and age is allowed to vary, weight-loss attempts appear to be cost-effective starting and ending with middle age. Some interventions recently proven to decrease weight may also be cost-effective.

scholarly journals Is an integrated model of school eye health delivery more cost-effective than a vertical model? An implementation research in Zanzibar

2021 ◽  
Vol 6 (1) ◽  
pp. e000561
Author(s):  
Ving Fai Chan ◽  
Fatma Omar ◽  
Elodie Yard ◽  
Eden Mashayo ◽  
Damaris Mulewa ◽  
...  
Keyword(s):  
Implementation Research ◽  
Cost Savings ◽  
Cost Effective ◽  
Integrated Model ◽  
Health Screening ◽  
High Coverage ◽  
Health Delivery ◽  
Screening Cost ◽  
Eye Health ◽  
The Cost

ObjectiveTo review and compare the cost-effectiveness of the integrated model (IM) and vertical model (VM) of school eye health programme in Zanzibar.Methods and analysisThis 6-month implementation research was conducted in four districts in Zanzibar. Nine and ten schools were recruited into the IM and VM, respectively. In the VM, teachers conducted eye health screening and education only while these eye health components were added to the existing school feeding programme (IM). The number of children aged 6–13 years old screened and identified was collected monthly. A review of project account records was conducted with 19 key informants. The actual costs were calculated for each cost categories, and costs per child screened and cost per child identified were compared between the two models.ResultsScreening coverage was 96% and 90% in the IM and VM with 297 children (69.5%) from the IM and 130 children (30.5%) from VM failed eye health screening. The 6-month eye health screening cost for VM and IM was US$6 728 and US$7 355. The cost per child screened for IM and VM was US$1.23 and US$1.31, and the cost per child identified was US$24.76 and US$51.75, respectively.ConclusionBoth models achieved high coverage of eye health screening with the IM being a more cost-effective school eye health delivery screening compared with VM with great opportunities for cost savings.

Process Improvement of Brake Lever Production Using DMAIC (+)

2011 ◽  
Author(s):  
Chittaranjan Sahay ◽  
Suhash Ghosh ◽  
Pradeep Kumar Bheemarthi
Keyword(s):  
Data Analysis ◽  
Problem Solving ◽  
Process Improvement ◽  
Six Sigma ◽  
Lean Manufacturing ◽  
Cost Effective ◽  
Poor Quality ◽  
Statistical Process ◽  
Automotive Components ◽  
The Cost

This work describes a strategy to reduce the cost associated with poor quality, by reducing the parts per million defects by Defining, Measuring, Analyzing, Implementing and Controlling (DMAIC) the production process. The method uses a combination of principles of Six Sigma applications, Lean Manufacturing and Shanin Strategy. The process has been used in analyzing the manufacturing lines of a brake lever at a Connecticut automotive components manufacturing company for reducing the cost associated with the production of nonconforming parts. The analysis was carried out with the help of the data collected on nonconformance parts and the application of phase change rules from DMAIC (+). Data analysis was carried out on statistical process control softwares, MINITAB and SPC XL 2000. Although, the problem of tight bushing existed on only one line of the brake lever assembly, this problem solving approach has solved the tight bushing problems on all assembly and alternates lines in a time- and cost-effective way.

scholarly journals Surgical instrumentation: the true cost of instrument trays and a potential strategy for optimization

2015 ◽  
Vol 4 (6) ◽  
pp. 82 ◽  
Author(s):  
Julie M. Mhlaba ◽  
Emily W. Stockert ◽  
Martin Coronel ◽  
Alexander J. Langerman
Keyword(s):  
United States ◽  
Cost Savings ◽  
Cost Effective ◽  
The United States ◽  
Waste Reduction ◽  
Significant Cost ◽  
Instrument Type ◽  
Hospital Revenue ◽  
Potential Strategy ◽  
The Cost

Objective: Operating rooms (OR) generate a large portion of hospital revenue and waste. Consequently, improving efficiency and reducing waste is a high priority. Our objective was to quantify waste associated with opened but unused instruments from trays and to compare this with the cost of individually wrapping instruments.Methods: Data was collected from June to November of 2013 in a 550-bed hospital in the United States. We recorded the instrument usage of two commonly-used trays for ten cases each. The time to decontaminate and reassemble instrument trays and peel packs was measured, and the cost to reprocess one instrument was calculated.Results: Average utilization was 14% for the Plastic Soft Tissue Tray and 29% for the Major Laparotomy Tray. Of 98 instruments in the Plastics tray (n = 10), 0% was used in all cases observed and 59% were used in no observed cases. Of 110 instruments in the Major Tray (n = 10), 0% was used in all cases observed and 25% were used in no observed cases. Average cost to reprocess one instrument was $0.34-$0.47 in a tray and $0.81-$0.84 in a peel pack, or individually-wrapped instrument.Conclusions: We estimate that the cost of peel packing an instrument is roughly two times the cost of tray packing. Therefore, it becomes more cost effective from a processing standpoint to package an instrument in a peel pack when there is less than a 42%-56% probability of use depending on instrument type. This study demonstrates an opportunity for reorganization of instrument delivery that could result in a significant cost-savings and waste reduction.

scholarly journals Cost–effectiveness and cost-benefit analysis of oliceridine in the treatment of acute pain

2021 ◽  
Author(s):  
Kit N Simpson ◽  
Michael J Fossler ◽  
Linda Wase ◽  
Mark A Demitrack
Keyword(s):  
Cost Benefit Analysis ◽  
Cost Savings ◽  
Cost Benefit ◽  
Cost Effective ◽  
Adverse Outcomes ◽  
Protein Signaling ◽  
Opioid Receptor Agonist ◽  
Cost Effective Alternative ◽  
Μ Opioid Receptor ◽  
The Cost

Aim: Oliceridine, a new class of μ-opioid receptor agonist, is selective for G-protein signaling (analgesia) with limited recruitment of β-arrestin (associated with adverse outcomes) and may provide a cost-effective alternative versus conventional opioid morphine for postoperative pain. Patients & methods: Using a decision tree with a 24-h time horizon, we calculated costs for medication and management of three most common adverse events (AEs; oxygen saturation <90%, vomiting and somnolence) following postoperative oliceridine or morphine use. Results: Using oliceridine, the cost for managing AEs was US$528,424 versus $852,429 for morphine, with a net cost savings of $324,005. Conclusion: Oliceridine has a favorable overall impact on the total cost of postoperative care compared with the use of the conventional opioid morphine.

scholarly journals A Comprehensive Review on Adaptability of Network Forensics Frameworks for Mobile Cloud Computing

2014 ◽  
Vol 2014 ◽  
pp. 1-27 ◽  
Author(s):  
Suleman Khan ◽  
Muhammad Shiraz ◽  
Ainuddin Wahid Abdul Wahab ◽  
Abdullah Gani ◽  
Qi Han ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Mobile Cloud Computing ◽  
Cost Effective ◽  
Data Access ◽  
Digital Content ◽  
Mobile Cloud ◽  
Network Attacks ◽  
Network Forensics ◽  
Network Forensic ◽  
The Cost

Network forensics enables investigation and identification of network attacks through the retrieved digital content. The proliferation of smartphones and the cost-effective universal data access through cloud has made Mobile Cloud Computing (MCC) a congenital target for network attacks. However, confines in carrying out forensics in MCC is interrelated with the autonomous cloud hosting companies and their policies for restricted access to the digital content in the back-end cloud platforms. It implies that existing Network Forensic Frameworks (NFFs) have limited impact in the MCC paradigm. To this end, we qualitatively analyze the adaptability of existing NFFs when applied to the MCC. Explicitly, the fundamental mechanisms of NFFs are highlighted and then analyzed using the most relevant parameters. A classification is proposed to help understand the anatomy of existing NFFs. Subsequently, a comparison is given that explores the functional similarities and deviations among NFFs. The paper concludes by discussing research challenges for progressive network forensics in MCC.

scholarly journals Cost Implications of Reactive Versus Prospective Testing for Dihydropyrimidine Dehydrogenase Deficiency in Patients With Colorectal Cancer: A Single-Institution Experience

Dose-Response ◽  
2018 ◽  
Vol 16 (4) ◽  
pp. 155932581880304 ◽  
Author(s):  
Con Murphy ◽  
Stephen Byrne ◽  
Gul Ahmed ◽  
Andrew Kenny ◽  
James Gallagher ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Dihydropyrimidine Dehydrogenase ◽  
Cost Savings ◽  
Cost Effective ◽  
Public Hospitals ◽  
Severe Toxicity ◽  
Care Payer ◽  
Input Variables ◽  
Grade 3 ◽  
The Cost

Background: Severe toxicity is experienced by a substantial minority of patients receiving fluoropyrimidine-based chemotherapy, with approximately 20% of these severe toxicities attributable to polymorphisms in the DPYD gene. The DPYD codes for the enzyme dihydropyrimidine dehydrogenase (DPD) important in the metabolism of fluoropyrimidine-based chemotherapy. We questioned whether prospective DPYD mutation analysis in all patients commencing such therapy would prove more cost-effective than reactive testing of patients experiencing severe toxicity. Methods: All patients experiencing severe toxicity from fluoropyrimidine-based chemotherapy for colorectal cancer in an Irish private hospital over a 3-year period were tested for 4 DPYD polymorphisms previously associated with toxicity. The costs associated with an index admission for toxicity in DPD-deficient patients were examined. A cost analysis was undertaken comparing the anticipated cost of implementing screening for DPYD mutations versus current usual care. One-way sensitivity analysis was conducted on known input variables. An alternative scenario analysis from the perspective of the Irish health-care payer (responsible for public hospitals) was also performed. Results: Of 134 patients commencing first-line fluoropyrimidine chemotherapy over 3 years, 30 (23%) patients developed grade 3/4 toxicity. Of these, 17% revealed heterozygote DPYD mutations. The cost of hospitalization for the DPYD-mutated patients was €232 061, while prospectively testing all 134 patients would have cost €23 718. Prospective testing would result in cost savings across all scenarios. Conclusions: The cost of hospital admission for severe chemotherapy-related toxicity is significantly higher than the cost of prospective DPYD testing of each patient commencing fluoropyrimidine chemotherapy.

scholarly journals Cost-effectiveness of an Environmental Cleaning Bundle for Reducing Healthcare-associated Infections

2019 ◽  
Vol 70 (12) ◽  
pp. 2461-2468 ◽  
Author(s):  
Nicole M White ◽  
Adrian G Barnett ◽  
Lisa Hall ◽  
Brett G Mitchell ◽  
Alison Farrington ◽  
...  
Keyword(s):  
Cost Effectiveness ◽  
Cost Savings ◽  
Cost Effective ◽  
Cost Effectiveness Ratio ◽  
Environmental Cleaning ◽  
Monetary Benefit ◽  
Healthcare Associated ◽  
The Cost ◽  
Net Monetary Benefit ◽  
Hospital Cleaning

Abstract Background Healthcare-associated infections (HAIs) remain a significant patient safety issue, with point prevalence estimates being ~5% in high-income countries. In 2016–2017, the Researching Effective Approaches to Cleaning in Hospitals (REACH) study implemented an environmental cleaning bundle targeting communication, staff training, improved cleaning technique, product use, and audit of frequent touch-point cleaning. This study evaluates the cost-effectiveness of the environmental cleaning bundle for reducing the incidence of HAIs. Methods A stepped-wedge, cluster-randomized trial was conducted in 11 hospitals recruited from 6 Australian states and territories. Bundle effectiveness was measured by the numbers of Staphylococcus aureus bacteremia, Clostridium difficile infection, and vancomycin-resistant enterococci infections prevented in the intervention phase based on estimated reductions in the relative risk of infection. Changes to costs were defined as the cost of implementing the bundle minus cost savings from fewer infections. Health benefits gained from fewer infections were measured in quality-adjusted life-years (QALYs). Cost-effectiveness was evaluated using the incremental cost-effectiveness ratio and net monetary benefit of adopting the cleaning bundle over existing hospital cleaning practices. Results Implementing the cleaning bundle cost $349 000 Australian dollars (AUD) and generated AUD$147 500 in cost savings. Infections prevented under the cleaning bundle returned a net monetary benefit of AUD$1.02 million and an incremental cost-effectiveness ratio of $4684 per QALY gained. There was an 86% chance that the bundle was cost-effective compared with existing hospital cleaning practices. Conclusions A bundled, evidence-based approach to improving hospital cleaning is a cost-effective intervention for reducing the incidence of HAIs.

scholarly journals The cost-effectiveness of pegaspargase versus native asparaginase for first-line treatment of acute lymphoblastic leukaemia: a UK-based cost-utility analysis

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Xingdi Hu ◽  
Kingsley P. Wildman ◽  
Subham Basu ◽  
Peggy L. Lin ◽  
Clare Rowntree ◽  
...  
Keyword(s):  
Cost Effectiveness ◽  
Cost Effective ◽  
Line Treatment ◽  
Newly Diagnosed ◽  
First Line ◽  
Link Type ◽  
Search Trial ◽  
Erwinia Asparaginase ◽  
The Uk ◽  
The Cost

Abstract Background L-asparaginase is a key component of treatment for patients with acute lymphoblastic leukaemia (ALL) in the UK. Commonly used forms of asparaginase are native E. coli-derived asparaginase (native asparaginase) and pegaspargase in first-line combination therapy, and native Erwinia chrysanthemi-derived asparaginase (Erwinia asparaginase) as second-line treatment. The objective of this study was to evaluate the cost-effectiveness of pegaspargase versus native asparaginase in first-line combination therapy for patients with newly diagnosed ALL. A combined decision tree and health-state transition Markov cost-effectiveness model was developed to assess the relative costs and health outcomes of pegaspargase versus native asparaginase in the UK setting. Results In base case analyses, first-line pegaspargase (followed by Erwinia asparaginase in cases of hypersensitivity) dominated first-line native asparaginase followed by Erwinia asparaginase; i.e. resulted in lower costs and more quality-adjusted life year gain. The favourable hypersensitivity rates and administration profile of pegaspargase led to lifetime cost savings of £4741 versus native asparaginase. Pegaspargase remained cost-effective versus all treatment strategies in all scenario analyses, including use of the 2500 IU/m2 dose, recommended for patients ≤21 years of age. Conclusions Pegaspargase, as part of multi-drug chemotherapy, is a cost-effective option for the treatment of newly diagnosed ALL. Based on this study, The National Institute for Health and Care Excellence Technology Appraisal Committee concluded that it could recommend pegaspargase as a cost-effective use of National Health Service resources in England & Wales for treating ALL in children, young people and adults with untreated, newly diagnosed disease. Trial registration UKALL 2011, EudraCT number 2010-020924-22; UKALL 2003, EudraCT number 2007-004013-34; UKALL14, EudraCT number 2009-012717-22.

Data Placement and Query for Cloud Computing Based on MyHeawood Network

2014 ◽  
Vol 543-547 ◽  
pp. 3100-3104
Author(s):  
Xin Huang ◽  
Yu Xing Peng ◽  
Peng Fei You
Keyword(s):  
Cloud Computing ◽  
Interconnection Network ◽  
Cost Effective ◽  
Data Placement ◽  
Cloud Services ◽  
Massive Data ◽  
Massive Datasets ◽  
The Family ◽  
The Cost ◽  
Hashing Algorithm

The massive data in Data centers network will be frequently accessed massive datasets for cloud services, which will lead to some new requirements and becomes an important issue for interconnection topology and data management in cloud computing. According to the cost-effective, the paper proposes a new interconnection network MyHeawood for cloud computing. MyHeawood is constructed by small switches and servers with dual-port NIC according to recursive method. The data placement strategy in MyHeawood is a hashing algorithm based on the family of hash functions. MyHeawood uses three replicas strategy base on master copy, which is allocated in different sub layer to improve the reliability of data.

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