Can Genomics Bend the Cost Curve?

JAMA ◽  
2012 ◽  
Vol 307 (10) ◽  
pp. 1031 ◽  
Author(s):  
Katrina Armstrong
Keyword(s):  
Cost Curve ◽  
The Cost

Contour Extraction of Cerebrovascular Based on Maximum Optimization Cost

2011 ◽  
Vol 204-210 ◽  
pp. 1415-1418
Author(s):  
De Jiang Zhang ◽  
Na Na Dong ◽  
Xiao Mei Lin
Keyword(s):  
Dynamic Programming ◽  
Blood Vessel ◽  
High Efficiency ◽  
High Accuracy ◽  
Differential Method ◽  
Cost Curve ◽  
Contour Extraction ◽  
Target Image ◽  
The Cost ◽  
Conventional Algorithm

By studying the conventional algorithm of contour extraction, a new method of contour extraction in blood vessel of brain is proposed based on the MOC maximum optimization cost. First of all, the theory computes the gray differential of the image by conventional differential method to build the cost space. Then, by using dynamic programming theory, the maximum optimization cost curve in the space is extracted to serve as the specific cerebrovascular profile. The experiments show that this method ensures high efficiency in extracting cerebrovascular contour and a high accuracy in positioning cerebrovascular contour, and it diminishes the target image ambiguity caused by noise to improve the anti-interference ability of Contour extraction.

scholarly journals We Can Teach How to Bend the Cost Curve: Lessons in Pediatric High-Value Health Care

PEDIATRICS ◽  
2017 ◽  
Vol 139 (3) ◽  
pp. e20164016
Author(s):  
Alison Volpe Holmes ◽  
Michele Long ◽  
James Stallworth
Keyword(s):  
Health Care ◽  
Cost Curve ◽  
The Cost

Will Australian liquefied natural gas demand soar under the 21st Annual Conference of the Parties (COP21) targets?

2017 ◽  
Vol 57 (2) ◽  
pp. 556
Author(s):  
Francois Tibi ◽  
Nicolas Reid ◽  
Whitney Skinner ◽  
Rob Grosvenor ◽  
Anthony Smith
Keyword(s):  
Natural Gas ◽  
Ghg Emissions ◽  
Liquefied Natural Gas ◽  
Annual Conference ◽  
Cost Curve ◽  
Future Success ◽  
Bridge Fuel ◽  
Primary Focus ◽  
Natural Gas Demand ◽  
The Cost

The ambitious 21st Annual Conference of the Parties (COP21) targets of over 200 countries to limit global warming require a significant reduction in green house gas (GHG) emissions by signatories; these reductions will require major shifts in the way that countries think about their supply mix. Although renewables are often the primary focus of emissions reductions, the role of natural gas in GHG emissions warrants consideration. Gas is ‘triple A’: affordable, abundant and available. It is also lower in GHG than other fossil fuel alternatives. The future success and price stability of liquefied natural gas (LNG) projects is intrinsically linked to the success of natural gas as a bridge fuel to a lower carbon future; although there was initial optimism about the potential of natural gas as a bridge fuel under COP21, further analysis shows that forecast demand for natural gas and LNG in new policy scenarios is likely lower than original forecasts, placing Australian producers’ existing and future projects in a challenging position; moving down the cost-curve where possible is the best way to ensure resilient demand even in a slower growth future environment.

When the Cost Curve Bent — Pre-Recession Moderation in Health Care Spending

2012 ◽  
Vol 367 (7) ◽  
pp. 590-593 ◽  
Author(s):  
Charles Roehrig ◽  
Ani Turner ◽  
Paul Hughes-Cromwick ◽  
George Miller
Keyword(s):  
Health Care ◽  
Health Care Spending ◽  
Cost Curve ◽  
The Cost

The Patient-Centered Medical Home in Oncology: From Concept to Reality

2015 ◽  
pp. e82-e89 ◽  
Author(s):  
Ray D. Page ◽  
Lee N. Newcomer ◽  
John D. Sprandio ◽  
Barbara L. McAneny
Keyword(s):  
Medical Home ◽  
Cancer Care ◽  
Financial Risk ◽  
Cost Curve ◽  
Patient Centered Medical Home ◽  
Financial Risks ◽  
Fee For Service ◽  
Payment Reform ◽  
Patient Centered ◽  
The Cost

In recent years, the cost of providing quality cancer care has been subject to an epic escalation causing concerns on the verge of a health care crisis. Innovative patient-management models in oncology based on patient-centered medical home (PCMH) principles, coupled with alternative payments to traditional fee for service (FFS), such as bundled and episodes payment are now showing evidence of effectiveness. These efforts have the potential to bend the cost curve while also improving quality of care and patient satisfaction. However, going forward with FFS alternatives, there are several performance-based payment options with an array of financial risks and rewards. Most novel payment options convey a greater financial risk and accountability on the provider. Therefore, the oncology medical home (OMH) can be a way to mitigate some financial risks by sharing savings with the payer through better global care of the patient, proactively preventing complications, emergency department (ED) visits, and hospitalizations. However, much of the medical home infrastructure that is required to reduced total costs of cancer care comes as an added expense to the provider. As best-of-practice quality standards are being elucidated and refined, we are now at a juncture where payers, providers, policymakers, and other stakeholders should work in concert to expand and implement the OMH framework into the variety of oncology practice environments to better equip them to assimilate into the new payment reform configurations of the future.

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