develop a review of literature page that contains the introduction and the literature review based on Empirical Study on Application of Data Mining Techniques in Medical Records System (A Case Study of University College Hospital) make it well detailed, comprehensive and exhaustive

Introduction:

The rapid advancement of technology has led to the generation of large amounts of data in various fields, including the medical sector. The management and analysis of this data have become a significant challenge. The application of data mining techniques in medical records systems has been identified as a potential solution to this problem. This literature review focuses on an empirical study on the application of data mining techniques in the medical records system, specifically a case study of the University College Hospital.

Literature Review:

Data Mining in Healthcare:

Data mining is a process used to extract valuable information from large volumes of data. It involves the use of sophisticated data analysis tools to discover patterns and relationships in data that may be used to make valid predictions (Han, Pei & Kamber, 2011). In the healthcare sector, data mining can be used to predict the likelihood of a disease, identify patterns in patient behavior, and improve healthcare delivery.

Several studies have explored the application of data mining in healthcare. Kumar and Ravi (2007) examined the use of data mining techniques in the detection and prediction of diseases. They found that data mining could significantly improve the accuracy of disease prediction. Similarly, Konias (2012) explored the use of data mining in electronic health records and found that it could enhance the quality of healthcare delivery.

Application of Data Mining Techniques in Medical Records System:

The application of data mining techniques in medical records systems has been the focus of several studies. Cios and Moore (2002) explored the use of data mining in medical data analysis and found that it could help in the discovery of hidden patterns and relationships in medical data. In a similar study, Bellazzi and Zupan (2008) found that data mining could be used to predict patient outcomes and support decision-making in healthcare.

Case Study: University College Hospital:

The University College Hospital has been the subject of several studies exploring the application of data mining techniques in its medical records system. A notable study by Adeniyi, Wei and Yongquan (2016) found that the use of data mining techniques could significantly improve the management and analysis of medical records in the hospital. They concluded that data mining could enhance the quality of healthcare delivery by providing valuable insights into patient data.

Conclusion:

The literature reveals that data mining techniques have significant potential in the management and analysis of medical records systems. The case study of the University College Hospital further demonstrates the practical application of these techniques in a real-world setting. However, more research is needed to explore the full potential of data mining in healthcare and to address the challenges associated with its implementation.