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Can Big Data Cure Risk Selection In Healthcare Capitation Program? A Game Theoretical Analysis, Zhaowei She, Turgay Ayer, Daniel Montanera
Can Big Data Cure Risk Selection In Healthcare Capitation Program? A Game Theoretical Analysis, Zhaowei She, Turgay Ayer, Daniel Montanera
Research Collection Lee Kong Chian School Of Business
Problem definition: This paper analyzes a market design problem in Medicare Advantage (MA), the largest risk-adjusted capitation payment program in the U.S. healthcare market. Evidence exists that the current MA capitation payment program unintentionally incentivizes health plans to cherry pick profitable patient types, which is referred to as “risk selection”. However, the root causes of the risk selection are not comprehensively understood, which we study in this paper. Academic / Practical Relevance: The existing literature primarily attributes the observed risk selection in MA market to data limitations and low explanatory power (e.g. low R2) of the current risk adjustment design. …
On The Test Accuracy And Effective Control Of The Covid-19 Pandemic: A Case Study In Singapore, Guang Cheng, Sarah Yini Gao, Yancheng Yuan, Chenxiao Zhang, Zhichao Zheng
On The Test Accuracy And Effective Control Of The Covid-19 Pandemic: A Case Study In Singapore, Guang Cheng, Sarah Yini Gao, Yancheng Yuan, Chenxiao Zhang, Zhichao Zheng
Research Collection Lee Kong Chian School Of Business
This study examines the impact of coronavirus disease 2019 (COVID-19) test accuracy (i.e., sensitivity and specificity) on the progression of the pandemic under two scenarios of limited and unlimited test capacity. We extend the classic susceptible–exposed–infectious–recovered model to incorporate test accuracy and compare the progression of the pandemic under various sensitivities and specificities. We find that high-sensitivity tests effectively reduce the total number of infections only with sufficient testing capacity. Nevertheless, with limited test capacity and a relatively high cross-infection rate, the total number of infected cases may increase when sensitivity is above a certain threshold. Despite the potential for …
Weighting Admission Scores To Balance Predictiveness-Diversity: The Pareto-Optimization Approach, Filip Lievens, Paul R. Sackett, Wilfried De Corte
Weighting Admission Scores To Balance Predictiveness-Diversity: The Pareto-Optimization Approach, Filip Lievens, Paul R. Sackett, Wilfried De Corte
Research Collection Lee Kong Chian School Of Business
Context: Although many medical schools seek to improve diversity, they grapple with the challenge of how to weight the scores of different admission methods to achieve a balance between obtaining high predictiveness and ensuring diversity in the selected student pool. Yet, in large-scale employment settings, substantial progress has been made on this front: Pareto-optimization has been introduced as an elegant statistical tool to assist decision makers in determining the weights assigned to selection methods in advance (before the selection has taken place) so that a selection system is designed to achieve an optimal balance as reflected by the trade-off that …
The Moderating Effect Of Solar Radiation On The Association Between Human Mobility And Covid-19 Infection In Europe, Wenyu Zhao, Yongjian Zhu, Jingui Xie, Zhichao Zheng, Haidong Luo, Oon Cheong Ooi
The Moderating Effect Of Solar Radiation On The Association Between Human Mobility And Covid-19 Infection In Europe, Wenyu Zhao, Yongjian Zhu, Jingui Xie, Zhichao Zheng, Haidong Luo, Oon Cheong Ooi
Research Collection Lee Kong Chian School Of Business
The novel coronavirus disease 2019 (COVID-19) has caused a global pandemic. Some studies have suggested a negative association between sunlight intensity and COVID-19 infection, alluding to the belief that it might be safe to go out on sunny days. This paper examined whether solar radiation mitigated the association between human mobility and COVID-19 infection in Europe using a dynamic panel data model to investigate the effect of human mobility, solar radiation, and their interaction on COVID-19 infection. The results revealed that outgoing mobility was positively correlated and solar radiation was negatively correlated with COVID-19 infection at lag levels of 1, …