DATA6000: Literature Review Assignment Help
Question
DATA6000: In this Capstone Industries Case Studies assessment for Kaplan Business School, students must explore a business-related issue in a specific industry using appropriate data sources. A specific business question needs to be identified based on which students are supposed to write a report encompassing the literature review for that particular business question. Students are required to demonstrate their knowledge regarding how different analytics methods can be applied to a business issue for a particular industry.
Solution
The industry chosen for this assignment is the healthcare industry. The solution provides a detailed account of three business problems for the healthcare industry, while also highlighting how data analytics can be used to address the identified issues. the business problems identified by our experts include high healthcare costs as well as costs of operation, low patient capacity, the occurrence of the “access block”, and operational failures such as staff shortages and unevenly distributed workload. Our experts have presented the literature review report on the prediction of information on how long a patient needs to remain in the hospital can help with the three business problems identified above.
Executive summary
Firstly, a short paragraph highlighting all the important findings of the report is highlighted. Keep reading to know how our experts have written this section.
Healthcare industry is a building block of a society, and with the ageing population the importance of the availability of healthcare services is increasing. The aim of this research is to predict the patient length of stay in order to optimize cost and resource allocation. This report is organized as following.
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Industry problem
In this section, the three business problems identified with the healthcare industry by our experts are discussed in detail. You can read a snippet of the solution below.
As the population continuous to age, there is a rising concern on how to provide effective healthcare services that are available to everyone. The main challenges in the healthcare industry revolve around hospital management, and typically focus on costs and quality of healthcare services, as well as the length of stay which represents a critical measure of performance (McDermott and Stock, 2007; Vogenberg and Santilli, 2018). Length of stay is associated to costs, efficiency, quality of care, and speed in delivery of healthcare services (Glick et al., 2003; McDermott and Stock, 2007), and shorter length of stay is considered to reflect better operational performance (Thomas, Guire and Horvat, 1997; McDermott and Stock, 2007; Buttigieg, Abela and Pace, 2018). The length of stay is also linked to hospital capacity (McDermott and Stock, 2007), profitability (Younis and Forgione, 2005; Rosko et al., 2018), and staffing levels (Griffiths et al., 2018), and it is a critical parameter that needs to be addressed in order for the healthcare system to become efficient. In Europe, the average length of stay ranged between 4.2 to 9.5 days in 2016 (Figure 1), while globally, the average length of stay has decreased in most countries in 2019 compared to 2009 (Figure 2).
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Data sources and methodology
This section describes on what are the requirements of data sources to research and address the problems identified above. Our experts ensure that this is supported by relevant and appropriate literature.
To address the issues in healthcare, complete and up-to-date data should be collected. If access to the data is limited or the data cannot be gathered directly from the hospitals, the open-source datasets available from a number of online platforms can be used. To provide solutions to the identified business problems, the dataset should comprise length of stay, patient demographic (such as age and gender), costs of care, department, and severity of the illness. One potential dataset that includes these variables is the AV: Healthcare Analytics II available from Kaggle (https://www.kaggle.com/datasets/nehaprabhavalkar/av-healthcare-analytics-ii).
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Selecting Business Problems
The last section discusses how the business problem and the associated research article will be approached through this study. Our experts have highlighted the sources of data, the methodology related to the research, its relevance to future research, and the originality of the project idea here.
The aim of this study will be to predict the patient length of stay in a hospital which will help the management to lower the costs of resources, prevent the “access block”, i.e. the situation when patients are waiting for too long because they cannot be admitted due to shortage of hospital beds, and create better operational strategies in order to distribute the healthcare staff and resources evenly. The novelty of this research is reflected in the combination of variables that will be used in the analysis, in particular type of department, type of admission, severity of illness, age of the patient, admission deposit, and length of stay (Figure 3). The current literature suggests that no such dataset has been used before, so the originality of contribution is high. In addition, the prediction model would provide results based on which important suggestions for decision-makers can be made regarding the optimization of resources.
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