University of Piraeus

About: University of Piraeus is a education organization based out in Piraeus, Attiki, Greece. It is known for research contribution in the topics: Context (language use) & Computer science. The organization has 1731 authors who have published 6209 publications receiving 106699 citations.

SOA implementation critical success factors in healthcare

Abstract: Purpose – Service oriented architecture (SOA) is increasingly adopted by many sectors, including healthcare. Due to the nature of healthcare systems, there is a need to increase SOA adoption success rates as the non‐integrated nature of healthcare systems is responsible for medical errors that cause the loss of tens of thousands of patients per year. Although numerous factors affect SOA success, these have not been explored and analysed yet, especially in the area of healthcare. This highlights a literature void and thus the purpose of this paper is to identify critical success factors (CSFs) influencing SOA implementation in healthcare.Design/methodology/approach – The authors critically review the literature and identify individual factors that may form CSFs for SOA implementation in healthcare. In doing so, they synthesise and propose a conceptual model of SOA CSFs in healthcare. The conceptual model is tested in the practical arena using a qualitative research methodology that is based on a case study...

A New Family of Nonparametric Quantile Estimators

Abstract: A new core methodology for creating nonparametric L-quantile estimators is introduced and three new quantile L-estimators (SV1 p , SV2 p , and SV3 p ) are constructed using the new methodology. Monte Carlo simulation was used in order to investigate the performance of the new estimators for small and large samples under normal distribution and a variety of light and heavy-tailed symmetric and asymmetric distributions. The new estimators outperform, in most of the cases studied, the Harrell–Davis quantile estimator and the weighted average at X ([np]) quantile estimator.

Critical appraisal of the views of healthcare professionals with respect to pharmacogenomics and personalized medicine in Greece

Abstract: Aim: In the postgenomic era, in many European countries, very little is known regarding the level of awareness of healthcare professionals with respect to pharmacogenomics and personalized medicine. Methods: Here, we report the findings of an in-depth study, involving 86 pharmacists and 208 physicians, to assess their level of awareness of pharmacogenomics and personalized medicine. Results: Our findings indicate that approximately 60% of pharmacists consider their level of knowledge of personalized medicine to be very low, while over half of the pharmacists and physicians intimate that they would be unable to explain the results of pharmacogenomic tests to their customers or patients, respectively. This situation may be directly related to the low level of their undergraduate education in genetics and pharmacogenomics. Conclusion: These findings provide the basis for assessing the views of healthcare professionals in relation to personalized medicine in Greece, and should help to facilitate the integration of genomics into the medical decision-making process.

A Quantile Regression Approach to Equity Premium Prediction

Abstract: We propose a quantile regression approach to equity premium forecasting. Robust point forecasts are generated by both fixed and time-varying weighting schemes, thus exploiting the entire distributional information associated with each predictor. Further gains are achieved by incorporating the forecast combination methodology in our quantile regression setting. Our approach using a time-varying weighting scheme delivers statistically and economically significant out-of-sample forecasts relative to the historical average benchmark and the combined mean predictive regression modeling approach.