Search results

Expert systems are interactive computer programs that ask the same questions a human expert would ask, and from the information given to them provide the same answer the expert would provide. If a body of knowledge can be codified into a set of questions and answers, it can be incorporated into an expert system. A good example of such a body of knowledge is the reference librarian's knowledge of the reference collection at his or her library; the set of questions asked by a librarian during a reference interview can be used to access this body of knowledge.

UEG launches £½m research programme. At a time of strengthening confidence in the offshore industry UEG, the offshore research and information group, has launched a new portfolio of research proposals.

Although quality of life and attitudes to ageing have been explored in the context of mental and physical health problems in older adults, the interplay between these variables has received little attention. The purpose of this study is to explore how attitudes to ageing relate to and predict quality of life in an international sample of older people those of age 57 to 79 (youngest-old) and those over 80 years old (oldest-old).

A large international sample (n = 4,616) of participants recruited from 20 different countries completed a set of measures assessing several demographic variables, attitudes to ageing, older adult specific quality of life, general quality of life and depression.

Correlational and regression analysis showed that more positive attitudes to ageing were associated with and predicted better quality of life in older adults beyond demographic and depression variables. Those in the oldest-old group had significantly more negative attitudes to ageing and a poorer quality of life. However, positive attitudes to ageing remained a significant predictor of better quality of life in both the youngest-old and oldest-old age groups.

Attitudes to ageing play an important part in quality of life in older adults; however, the impact of these attitudes might be different according to age group. These results suggest that attitudes to ageing could be a possible clinical target in interventions aiming at improving quality of life in older adults.

Strategic investment theory establishes a framework for discussing the benefits of acquisitions. However, these theories do not provide automatic answers to investment questions.

Managing a large hospital network can be an extremely challenging task. Management must rely on numerous pieces of information when making business decisions. This chapter focuses on the number of bed days (NBD) which can be extremely valuable for operational managers to forecast for logistical planning purposes. In addition, the finance staff often requires an expected NBD as input for estimating future expenses. Some hospital reimbursement contracts are on a per diem schedule, and expected NBD is useful in forecasting future revenue.Two models, time regression and autoregressive integrated moving average (ARIMA), are applied to nine years of monthly counts of the NBD for the Rhode Island Hospital System. These two models are compared to see which gives the best fit for the forecasted NBD. Also, the question of summarizing the time data from monthly to quarterly time periods is addressed. The approaches presented in this chapter can be applied to a variety of time series data for business forecasting.

In this chapter, we applied Data Envelopment Analysis (DEA) to a group of property and casualty insurance companies' data from 2018 to 2020. The calculated relative efficiencies were compared with selected traditionally used financial measures. We conclude that DEA and its relative efficiency calculation provide a consistent measure with selected IRIS ratios. The result and method can be used for situations when multiple ratios and change-based financial metrics provide inconsistent conclusions.

Predicting a patient's length of stay (LOS) in a hospital setting has been widely researched. Accurately predicting an individual's LOS can have a significant impact on a healthcare provider's ability to care for individuals by allowing them to properly prepare and manage resources. A hospital's productivity requires a delicate balance of maintaining enough staffing and resources without being overly equipped or wasteful. This has become even more important in light of the current COVID-19 pandemic, during which emergency departments around the globe have been inundated with patients and are struggling to manage their resources.

In this study, the authors focus on the prediction of LOS at the time of admission in emergency departments at Rhode Island hospitals through discharge data obtained from the Rhode Island Department of Health over the time period of 2012 and 2013. This work also explores the distribution of discharge dispositions in an effort to better characterize the resources patients require upon leaving the emergency department.