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America's health care system has become too complex and costly to continue business as usual. Best Care at Lower Cost explains that inefficiencies, an overwhelming amount of data, and other economic and quality barriers hinder progress in improving health and threaten the nation's economic stability and global competitiveness. According to this report, the knowledge and tools exist to put the health system on the right course to achieve continuous improvement and better quality care at a lower cost. The costs of the system's current inefficiency underscore the urgent need for a systemwide transformation. About 30 percent of health spending in 2009-roughly $750 billion-was wasted on unnecessary services, excessive administrative costs, fraud, and other problems. Moreover, inefficiencies cause needless suffering. By one estimate, roughly 75,000 deaths might have been averted in 2005 if every state had delivered care at the quality level of the best performing state. This report states that the way health care providers currently train, practice, and learn new information cannot keep pace with the flood of research discoveries and technological advances. About 75 million Americans have more than one chronic condition, requiring coordination among multiple specialists and therapies, which can increase the potential for miscommunication, misdiagnosis, potentially conflicting interventions, and dangerous drug interactions. Best Care at Lower Cost emphasizes that a better use of data is a critical element of a continuously improving health system, such as mobile technologies and electronic health records that offer significant potential to capture and share health data better. In order for this to occur, the National Coordinator for Health Information Technology, IT developers, and standard-setting organizations should ensure that these systems are robust and interoperable. Clinicians and care organizations should fully adopt these technologies, and patients should be encouraged to use tools, such as personal health information portals, to actively engage in their care. This book is a call to action that will guide health care providers; administrators; caregivers; policy makers; health professionals; federal, state, and local government agencies; private and public health organizations; and educational institutions.

Financial Management for Health-System Pharmacists, 2nd edition, serves as a guidebook to support the management of enterprise pharmacy finance across business and care continuums. The 2nd edition engages the reader with a mix of chapters, some new to this edition, along with a trove of new health-system pharmacy financial business cases. As leaders look to transform their organizations, the principles and practices provided give the reader the knowledge and guidance to craft a new path forward as they look to improve the provision of pharmacy and patient-care services.

This study presents a new approach for optimal allocation of distributed generation (DG) and energy storage system (ESS) in microgrids (MGs). The practical optimal allocation problems have non-smooth cost functions with equality and inequality constraints that make the problem of finding the global optimum difficult using any mathematical approaches. A dynamic capacity adjustment algorithm is incorporated in the matrix real-coded genetic algorithm (MRCGA) framework to deal with the non-smooth cost functions. The proposed cost function takes into consideration operation cost minimisation as well as investment cost minimisation at the same time for the MG. Moreover, an energy storage equality constraint is applied to manage the state of charge of EES in MGs. The MRCGA is used to minimise the cost function of the system while constraining it to meet the customer demand and security of the system. For each studied case, sets of optimal capacities and economic operation strategies of ESS and DG sources are determined. The computational simulation results are presented to verify the effectiveness of the proposed method.

Electrification of transport and the deployment of plug-in electric vehicles (PEVs) shift emissions from tail-pipes to bulk power systems (BPSs). Coordinated distributed energy resources and PEV charging can mitigate the impact of this shift. This study presents an analysis of photovoltaic (PV) solar parking lots that address this benefit. Real-world charging data, solar data, and electricity tariffs are used to determine the microgrid system that minimises the cost of retrofitting an existing parking lot with PV and PEV infrastructure coupled. The result is a load scheduling algorithm that takes into account tariffs and insolation to reduce costs while ensuring customer satisfaction. The techno-economic feasibility of PV infrastructure in the microgrid is determined by minimising the net present cost (NPC) in two case studies: Victoria, BC, and Los Angeles, CA. Relatively low solar irradiation and electricity prices make it economically infeasible to install solar panels in Victoria even though the operational costs are reduced by 11%. In Los Angeles, high time-of-use prices, together with abundant solar radiation, make PV retrofitting economically feasible with any array capacity. At the current solar infrastructure price, coordinated charging in this region yields 8–16% savings on NPC and smaller feeder size requirements with greater load growth opportunities.

This is the definitive work on Medicare's prospective payment system (PPS), which had its origins in the 1972 Social Security Amendments, was first applied to hospitals in 1983, and came to fruition with the Balanced Budget Act of 1997. Here, Rick Mayes and Robert A. Berenson, M.D., explain how Medicare's innovative payment system triggered shifts in power away from the providers (hospitals and doctors) to the payers (government insurers and employers) and how providers have responded to encroachments on their professional and financial autonomy. They conclude with a discussion of the problems with the Medicare Modernization Act of 2003 and offer prescriptions for how policy makers can use Medicare payment policy to drive improvements in the U.S. health care system. Mayes and Berenson draw from interviews with more than sixty-five major policy makers—including former Treasury secretary Robert Rubin, U.S. Representatives Pete Stark and Henry Waxman, former White House chief of staff Leon Panetta, and former administrators of the Health Care Financing Administration Gail Wilensky, Bruce Vladeck, Nancy-Ann DeParle, and Tom Scully—to explore how this payment system worked and its significant effects on the U.S. medical landscape in the past twenty years. They argue that, although managed care was an important agent of change in the 1990s, the private sector has not been the major health care innovator in the United States; rather, Medicare's transition to PPS both initiated and repeatedly intensified the economic restructuring of the U.S. health care system.

This paper shows that market frictions are fundamental building blocks for an organizational economics approach to strategic management. Various organizational economic approaches (transaction costs, property rights, real options, and resource-based) have distinctive focal problems and emphasize different combinations of market frictions. A wider recognition of the role of market frictions is useful for three main objectives. First, it helps identify an evolving market-frictions paradigm in strategic management. Second, it shows how two primary questions in strategy of why firms exist and why some firms outperform others and the three primary strategic goals of cost minimization, value creation, and value capture can be better joined and evaluated. Third, different combinations of market frictions can generate new research questions and advance theory development in the strategic management field.

Aims Patients with permanently increased risk of sudden cardiac death (SCD) can be protected by implantable cardioverter defibrillators (ICD). If an ICD must be removed due to infection, for example, immediate reimplantation might not be possible or indicated. The wearable cardioverter defibrillator (WCD) is an established, safe and effective solution to protect patients from SCD during this high‐risk bridging period. Very few economic evaluations on WCD use are currently available. Methods We conducted a systematic review to evaluate the available evidence of WCD in patients undergoing ICD explant/lead extraction. Additionally, a decision model was developed to compare use and costs of the WCD with standard therapy (in‐hospital stay). For this purpose, a cost‐minimization analysis was conducted, and complemented by a one‐way sensitivity analysis. Results In the base case scenario, the WCD was less expensive compared to standard therapy. The cost‐minimization analysis showed a cost reduction of €1782 per patient using the WCD. If costs of standard care were changed, cost savings associated with the WCD varied from €3500 to €0, assuming costs for standard care of €6800 to €3600. Conclusion After ICD explantation, patients can be safely and effectively protected from SCD after hospital discharge through WCD utilization. Furthermore, the use of a WCD for this patient group is cost saving when compared to standard therapy.

We focus on analysing cost minimising production behaviour in multi-output settings. We distinguish between two approaches for modelling the use of joint inputs. The cooperative approach assumes cost minimisation at the aggregate firm level, while the non-cooperative approach assumes cost minimisation at the level of the individual output division. Our framework extends the existing nonparametric framework for analysing single output production. An empirical application to the English and Welsh drinking water and sewerage sector shows the practical usefulness of our framework. Specifically, we compare the empirical validity of the cooperative and non-cooperative models for describing the observed production behaviour.

The first edition of Applied Health Economics did an expert job of showing how the availability of large scale data sets and the rapid advancement of advanced econometric techniques can help health economists and health professionals make sense of information better than ever before.This second edition has been revised and updated throughout and includes a new chapter on the description and modelling of individual health care costs, thus broadening the book's readership to those working on risk adjustment and health technology appraisal. The text also fully reflects the very

Marginal pricing schemes have become the industry's de-facto standard for electrical energy trades. For market clearing, offer cost minimization mechanisms have been used since production offers matching producers' actual cost leads to maximum social welfare. However, this condition never holds in practice. Therefore, price-based electricity markets are drawing much more attention within the marginal pricing paradigm. Among such clearing mechanisms, the payment cost minimization (PCM) mechanism is envisaged to be a good solution for the aforementioned issue. On the other hand, power systems are stochastic in nature. The optimal solution to the unit commitment problem should take into account the system uncertainties. The inherent computational burden of applying the PCM mechanism motivates the application of effective uncertainty-handling techniques. In this paper, to reduce such computational complexity, a robust optimization technique is proposed to find the market-clearing strategy which minimizes consumer payment, is feasible, and is resilient against the variations of uncertain parameters. The case studies results show the proposed approach's effectiveness in terms of optimality and speed.