Healthcare management and customer relations

Data Mining 1
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Data Mining 2
Use of electronic records is an everyday activity in most of the organization today. With the
increase in the amount of data, firms are now working on optimizing quality and organizational
efficiency by using data mining. In the past, firms have been using data mining for fraud
detection and determining the credit score of customers (Sundermann, Miller, Marsh, Saul,
Shutt, Pacey, & Snyder, 2019). Today, companies are looking for similar benefits from the use of
predictive analytics and data mining. The primary objective of data mining usage in the firm is to
establish useful, understandable business and processes patterns through analysis of a large set of
data. This is critical is forecasting future industry dynamics, observe trends and determine how to
react to them.
Most companies have utilized the use of data mining in improving customer satisfaction and
experience, increase product usability and safety (Pika, Wynn, Budiono, ter Hofstede, van der
Aalst, & Reijers, 2019, September). In the Seton Healthcare Family, data mining has been
widely used in predictive medicine, fraud detection, healthcare management and customer
relations management. In measuring treatment effectiveness, it involves comparing and
contrasting various causes and course, symptoms and treatment alternatives to determine the
most effective action to be taken to manage a given condition or illness (Sohail, Jiadong, Uba, &
Irshad, 2019). For instance, patients being treated with different drug regiments can be compared
to establish the most efficient treatment plan that works best to determine the treatment that
works best and saves money. Continued use of the determined treatment plan can help in the
standardization of treatment method for a given group of diseases, thus, speeding the diagnosis
and the treatment process.
Interestingly, the application of data mining has proved beneficial to most firms, including the
Seton Healthcare Family. However, it has exposed the firms to some privacy concerns. The