scholarly journals Pharmaceutical portfolio optimization under cost uncertainty via chance constrained-type method

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Maboubeh Farid ◽  
Abraar Chaudhry ◽  
Magnus Ytterstad ◽  
Stig Johan Wiklund
Keyword(s):  
Drug Development ◽  
Portfolio Optimization ◽  
Stochastic Approach ◽  
Pharmaceutical Companies ◽  
Type Method ◽  
Annual Budget ◽  
Selection For ◽  
Portfolio Optimization Problem ◽  
Multi Phase ◽  
The Cost

AbstractProject selection for a portfolio is a pivotal decision in the pharmaceutical industry. In this paper, we study a portfolio optimization problem for pharmaceutical companies considering the uncertainty of the cost of each phase of drug development and the specific value of the annual budget. The presented optimization model is suitable to make investment decisions for multi-phase drug development projects and a stochastic approach is applied to handle the uncertainty in the model. Post-optimality analysis for annual budget is studied. An illustrative example is included to demonstrate the presented approach.

Glembotskaya G.T., Eremin S.Yu. Scientific and practical approach to optimizing costs on development and promotion of drugs

2019 ◽  
Vol 2019 (3) ◽  
pp. 47-53
Author(s):  
Галина Глембоцкая ◽  
Galina Glembockaya ◽  
Станислав Еремин ◽  
Stanislav Eremin
Keyword(s):  
Scientific Literature ◽  
Pharmacological Action ◽  
Pharmaceutical Market ◽  
Pharmaceutical Companies ◽  
Strategic Development ◽  
The World ◽  
The Russian Federation ◽  
The Cost ◽  
Further Development ◽  
Registration Phase

In order to identify promising strategic development possibilities for the pharmaceutical industry in the Russian Federation, a pilot study was conducted, which has analyzed the main trends in the development of innovative medicines. As a result of the content analysis of available sources of scientific literature, the characteristics of options used in the world practice for increasing the innovative activity of individual subjects and the pharmaceutical market as a whole are presented. Possible reserves for the further development of the innovative component of the pharmaceutical market within the framework of the concept of personalized medicine according to the P4 principle (predictive - personalized - preventive - participatory) are identified and structured. The results of use by individual pharmaceutical companies of scientifically and practically justified approaches to optimizing the costs of development and promoting drugs are presented. The advantages and real prospects of a generally accepted method to reduce the cost of development by «expanding the pharmacological effect» (label expansion) of already existing drugs with a known safety profile in the world practice are shown. A scientific generalization and structuring of the goals and results of the post-registration phase of clinical trials to expand the pharmacological action of a number of drugs already existed at the market have been carried out.

Equilibrium selection for multi-portfolio optimization

2021 ◽  
Author(s):  
Lorenzo Lampariello ◽  
Christoph Neumann ◽  
Jacopo M. Ricci ◽  
Simone Sagratella ◽  
Oliver Stein
Keyword(s):  
Portfolio Optimization ◽  
Equilibrium Selection ◽  
Selection For

The Direct and Indirect Costs of Treating the Victims of the 2016 Nice Terror Attacks in a Single Pediatric Hospital

2021 ◽  
pp. 1-4
Author(s):  
Federico Solla ◽  
Eytan Ellenberg ◽  
Virginie Rampal ◽  
Julien Margaine ◽  
Charles Musoff ◽  
...  
Keyword(s):  
Indirect Costs ◽  
Medical Costs ◽  
Pediatric Hospital ◽  
Terror Attack ◽  
Direct And Indirect Costs ◽  
Terror Attacks ◽  
Direct Medical Costs ◽  
Annual Budget ◽  
The Difference ◽  
The Cost

Abstract Objective: To analyze the cost of the terror attack in Nice in a single pediatric institution. Methods: We carried out descriptive analyses of the data coming from the Lenval University Children’s Hospital of Nice database after the July 14, 2016 terror attack. The medical cost for each patient was estimated from the invoice that the hospital sent to public insurance. The indirect costs were calculated from the hospital’s accounting, as the items that were previously absent or the difference between costs in 2016 versus the previous year. Results: The costs total 1.56 million USD, corresponding to 2% of Lenval Hospital’s 2016 annual budget. Direct medical costs represented 9% of the total cost. The indirect costs were related to human resources (overtime, sick leave), revenue shortfall, and security and psychiatric reinforcement. Conclusion: Indirect costs had a greater impact than did direct medical costs. Examining the level and variety of direct and indirect costs will lead to a better understanding of the consequences of terror acts and to improved preparation for future attacks.

scholarly journals Modeling and Optimizing the Multi-Objective Portfolio Optimization Problem with Trapezoidal Fuzzy Parameters

2021 ◽  
Vol 26 (2) ◽  
pp. 36
Author(s):  
Alejandro Estrada-Padilla ◽  
Daniela Lopez-Garcia ◽  
Claudia Gómez-Santillán ◽  
Héctor Joaquín Fraire-Huacuja ◽  
Laura Cruz-Reyes ◽  
...  
Keyword(s):  
Steady State ◽  
Portfolio Optimization ◽  
Optimization Problem ◽  
Solution Process ◽  
Density Estimator ◽  
Nsga Ii ◽  
Spatial Spread ◽  
Multi Objective ◽  
Significant Difference ◽  
Portfolio Optimization Problem

A common issue in the Multi-Objective Portfolio Optimization Problem (MOPOP) is the presence of uncertainty that affects individual decisions, e.g., variations on resources or benefits of projects. Fuzzy numbers are successful in dealing with imprecise numerical quantities, and they found numerous applications in optimization. However, so far, they have not been used to tackle uncertainty in MOPOP. Hence, this work proposes to tackle MOPOP’s uncertainty with a new optimization model based on fuzzy trapezoidal parameters. Additionally, it proposes three novel steady-state algorithms as the model’s solution process. One approach integrates the Fuzzy Adaptive Multi-objective Evolutionary (FAME) methodology; the other two apply the Non-Dominated Genetic Algorithm (NSGA-II) methodology. One steady-state algorithm uses the Spatial Spread Deviation as a density estimator to improve the Pareto fronts’ distribution. This research work’s final contribution is developing a new defuzzification mapping that allows measuring algorithms’ performance using widely known metrics. The results show a significant difference in performance favoring the proposed steady-state algorithm based on the FAME methodology.

scholarly journals Feature selection for portfolio optimization

2016 ◽  
Vol 256 (1) ◽  
pp. 21-40 ◽  
Author(s):  
Thomas Trier Bjerring ◽  
Omri Ross ◽  
Alex Weissensteiner
Keyword(s):  
Feature Selection ◽  
Portfolio Optimization ◽  
Selection For

Physicians' Interactions with Pharmaceutical Companies

PEDIATRICS ◽  
1992 ◽  
Vol 90 (2) ◽  
pp. 281-282
Author(s):  
LEWIS H. MARGOLIS
Keyword(s):  
Medical Care ◽  
Cost Of Care ◽  
Pharmaceutical Companies ◽  
Cost Of Drugs ◽  
The Cost

In Reply.— In my essay1 I suggested that the acceptance of gifts from pharmaceutical companies violates a duty of justice because gifts represent resources inappropriately taken from patients through the added costs of the drugs that they buy. Dr Procopio raises the larger question of how other types of promotional activities increase the cost of drugs in particular and medical care in general. His letter makes clear, however, that the contribution of an activity such as the distribution of samples to the cost of care is difficult to determine because several different purposes are served.

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