Resource allocation decision model for dependable and cost-effective grid applications based on Grid Bank

2017 ◽  
Vol 77 ◽  
pp. 12-28 ◽  
Author(s):  
Shang-Chia Wei ◽  
Wei-Chang Yeh
Keyword(s):  
Resource Allocation ◽  
Decision Model ◽  
Cost Effective ◽  
Resource Allocation Decision ◽  
Allocation Decision ◽  
Grid Applications

Key principles for the improved conduct of health technology assessments for resource allocation decisions

2008 ◽  
Vol 24 (03) ◽  
pp. 244-258 ◽  
Author(s):  
Michael F. Drummond ◽  
J. Sanford Schwartz ◽  
Bengt Jönsson ◽  
Bryan R. Luce ◽  
Peter J. Neumann ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Health Technology ◽  
Resource Allocation Decision ◽  
Decision Makers ◽  
Costs And Benefits ◽  
Allocation Decision ◽  
Health Technologies ◽  
System A ◽  
Different Types ◽  
Allocation Decisions

Health technology assessment (HTA) is a dynamic, rapidly evolving process, embracing different types of assessments that inform real-world decisions about the value (i.e., benefits, risks, and costs) of new and existing technologies. Historically, most HTA agencies have focused on producing high quality assessment reports that can be used by a range of decision makers. However, increasingly organizations are undertaking or commissioning HTAs to inform a particular resource allocation decision, such as listing a drug on a national or local formulary, defining the range of coverage under insurance plans, or issuing mandatory guidance on the use of health technologies in a particular healthcare system. A set of fifteen principles that can be used in assessing existing or establishing new HTA activities is proposed, providing examples from existing HTA programs. The principal focus is on those HTA activities that are linked to, or include, a particular resource allocation decision. In these HTAs, the consideration of both costs and benefits, in an economic evaluation, is critical. It is also important to consider the link between the HTA and the decision that will follow. The principles are organized into four sections: (i) “Structure” of HTA programs; (ii) “Methods” of HTA; (iii) “Processes for Conduct” of HTA; and (iv) “Use of HTAs in Decision Making.”

Performance Ratio Based Resource Allocation Decision-Making in Genomic Medicine

2017 ◽  
Vol 21 (2) ◽  
pp. 67-73 ◽  
Author(s):  
Vasilios Fragoulakis ◽  
Christina Mitropoulou ◽  
Daphne Katelidou ◽  
Ron H. van Schaik ◽  
Nikolaos Maniadakis ◽  
...  
Keyword(s):  
Decision Making ◽  
Resource Allocation ◽  
Genomic Medicine ◽  
Resource Allocation Decision ◽  
Performance Ratio ◽  
Allocation Decision

CASE STUDIES THAT ILLUSTRATE DISINVESTMENT AND RESOURCE ALLOCATION DECISION-MAKING PROCESSES IN HEALTH CARE: A SYSTEMATIC REVIEW

2013 ◽  
Vol 29 (2) ◽  
pp. 174-184 ◽  
Author(s):  
Julie Polisena ◽  
Tammy Clifford ◽  
Adam G. Elshaug ◽  
Craig Mitton ◽  
Erin Russell ◽  
...  
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Resource Allocation ◽  
Case Studies ◽  
Resource Allocation Decision ◽  
Cochrane Library ◽  
Fee For Service ◽  
Allocation Decision ◽  
Allocation Decisions ◽  
Resource Allocation Decisions

Objective:Technological change accounts for approximately 25 percent of health expenditure growth. To date, limited research has been published on case studies of disinvestment and resource allocation decision making in clinical practice. Our research objective is to systematically review and catalogue the application of frameworks and tools for disinvestment and resource allocation decision making in health care.Methods:An electronic literature search was executed for studies on disinvestment, obsolete and ineffective technologies, and priority healthcare setting, published from January 1990 until January 2012. Databases searched were MEDLINE, MEDLINE In-Process and Other Non-Indexed Citations, Embase, The Cochrane Library, PubMed, and HEED.Results:Fourteen case studies on the application of frameworks and tools for disinvestment and resource allocation decisions were included. Most studies described the application of program budgeting and marginal analysis (PBMA), and two reports used health technology assessment (HTA) methods for coverage decisions in a national fee-for-service structure. Numerous healthcare technologies and services were covered across the studies. We describe the multiple criteria considered for decision making, and the strengths and limitations of these frameworks and tools are highlighted.Conclusions:Disinvestment and resource allocation decisions require evidence to ensure their transparency and objectivity. PBMA was used to assess resource allocation of health services and technologies in a fixed budget jurisdiction, while HTA reviews focused on specific technologies, principally in fee-for-service structures. Future research can review the data requirements and explore opportunities to increase the quantity of available evidence for disinvestment and resource allocation decisions.

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