داده کاوی برای شناسایی کیفیت از عوامل مرتبط با مراقبت از ادعای مسئولیت ها و استراتژی های مدیریت ریسک در خانه های سالمندان فلوریدا
Abstract: The challenges facing the nursing home industry are increasingly important to the population of the United States. As the population grows older, the number of people requiring services from a nursing home will increase. In today\'s environment the nursing home business face many challenges that will define the future of the industry. Among them is the plaintiff attorney lawsuit against nursing homes, rising liability costs and vulnerability to lawsuits. The purpose of this study was to examine the influence that quality of care factors and risk management strategies have on liability claims in nursing homes, and to create a risk management model. Four research questions and a hypothesis were tested. The research design was an exploratory and predictive quantitative design using data mining of secondary data. The study analyzed the quality of care factors associated with liability claims and model risk management in order to predict and generate strategies that can decrease claims in Florida nursing homes. The data sets used in the study consisted of data from 106 nursing homes from 67 counties in Florida. The study used data mining software application to conduct data mining analysis and create risk management models. The data models developed were used to identify quality of care factors associated with liability claims in Florida nursing homes. Findings indicated (a) there was a strong correlation between quality of care indicators and the incidents that led to liability claims; (b) various risk management strategies have been used in Florida, of which the most common seem to be methods for training staff; (c) while various risk management strategies such as training and educating staff do have an effect on the number and severity of lawsuits, they are not necessarily sufficient to decrease nursing homes\' exposure to risk substantially; and, (d) the success of the measurements indicated that there are indeed diagnostic tools that can identify areas of risk, but the external factors noted in the answer to the previous question still apply. The implications and recommendations were that the nursing home industry requires a holistic focus on the legal and financial context of that industry.
Keywords: Health and environmental sciences, Healthcare quality, Data mining, Quality of care, Liability claims, Risk management, Nursing homes