The use and design of the BSC in the health care sector: a systematic literature review for Italy, Spain, and Portugal

The aim of this paper is to gain a better understanding of how the balanced scorecard (BSC) has evolved in Spain, Italy, and Portugal. It reviews all the articles on the BSC in the health care sector written between 1992 and 2015 by Spanish, Italian, or Portuguese authors and published in Spanish, Italian, or Portuguese as well as in English. Our study first shows the state of knowledge on BSC in health care for a homogeneous group of Southern European countries. Second, it uncovers the perspectives, indicators, and generation used in the countries under observation to reveal the extent to which this management tool has evolved. Third, it analyses international variations in design and use within the health care context, especially in the United States. Moreover, it also highlights a number of important issues. The BSC is in its early stage of development in these 3 countries, which do not use it as a tool to implement strategy and align all of the elements that help integrate the organization.info:eu-repo/semantics/publishedVersio

Autonomous decision-making against induced seismicity in deep fluid injections

The rise in the frequency of anthropogenic earthquakes due to deep fluid injections is posing serious economic, societal, and legal challenges to geo-energy and waste-disposal projects. We propose an actuarial approach to mitigate this risk, first by defining an autonomous decision-making process based on an adaptive traffic light system (ATLS) to stop risky injections, and second by quantifying a "cost of public safety" based on the probability of an injection-well being abandoned. The ATLS underlying statistical model is first confirmed to be representative of injection-induced seismicity, with examples taken from past reservoir stimulation experiments (mostly from Enhanced Geothermal Systems, EGS). Then the decision strategy is formalized: Being integrable, the model yields a closed-form ATLS solution that maps a risk-based safety standard or norm to an earthquake magnitude not to exceed during stimulation. Finally, the EGS levelized cost of electricity (LCOE) is reformulated in terms of null expectation, with the cost of abandoned injection-well implemented. We find that the price increase to mitigate the increased seismic risk in populated areas can counterbalance the heat credit. However this "public safety cost" disappears if buildings are based on earthquake-resistant designs or if a more relaxed risk safety standard or norm is chosen.Comment: 8 pages, 4 figures, conference (International Symposium on Energy Geotechnics, 26-28 September 2018, Lausanne, Switzerland

The balanced scorecard In healthcare: Italy, Spain, and Portugal

The aim of this paper is to review all the articles published on the topic of the Balanced Scorecard in healthcare by Spanish, Italian, or Portuguese authors or written in Spanish, Italian, or Portuguese between 1992 and 2009 (18 years in total). To carry out this task, we analysed the existing research in this area to date, and then attempted to draw connections between the theoretical view presented in the Balanced Scorecard and the empirical experiences in the hospitals that put this tool into practice. Finally, we obtained an organised compilation of all the articles dealing with the Balanced Scorecard in healthcare which had either been published in Spain, Italy, or Portugal or had been written by Spanish, Italian, or Portuguese authors and published in foreign journals

The dynamics of entropy in the COVID-19 outbreaks

With the unfolding of the COVID-19 pandemic, mathematical modelling of epidemics has been perceived and used as a central element in understanding, predicting, and governing the pandemic event. However, soon it became clear that long-term predictions were extremely challenging to address. In addition, it is still unclear which metric shall be used for a global description of the evolution of the outbreaks. Yet a robust modelling of pandemic dynamics and a consistent choice of the transmission metric is crucial for an in-depth understanding of the macroscopic phenomenology and better-informed mitigation strategies. In this study, we propose a Markovian stochastic framework designed for describing the evolution of entropy during the COVID-19 pandemic together with the instantaneous reproductive ratio. Then, we introduce and use entropy-based metrics of global transmission to measure the impact and the temporal evolution of a pandemic event. In the formulation of the model, the temporal evolution of the outbreak is modelled by an equation governing the probability distribution that describes a nonlinear Markov process of a statistically averaged individual, leading to a clear physical interpretation. The time-dependent parameters are formulated by adaptive basis functions, leading to a parsimonious representation. In addition, we provide a full Bayesian inversion scheme for calibration together with a coherent strategy to address data unreliability. The time evolution of the entropy rate, the absolute change in the system entropy, and the instantaneous reproductive ratio are natural and transparent outputs of this framework. The framework has the appealing property of being applicable to any compartmental epidemic model. As an illustration, we apply the proposed approach to a simple modification of the susceptible–exposed–infected–removed model. Applying the model to the Hubei region, South Korean, Italian, Spanish, German, and French COVID-19 datasets, we discover significant difference in the absolute change of entropy but highly regular trends for both the entropy evolution and the instantaneous reproductive ratio