Data Mining in Healthcare

Data Mining in Healthcare

Data Mining in Healthcare

Predictive analytics centers on data mining, processes, methods, and algorithms. According to Delen, Sharda, and Turban (2023), “Generally speaking, data mining is a way to develop intelligence (i.e., actionable information or knowledge) from data that an organization collects, organizes, and stores. A wide range of data mining techniques are being used by organizations to gain a better understanding of their customers and their operations and to solve complex organizational problems” (p.189).

Healthcare organizations use data mining to reduce fraud and abuse. Doctors and nurses analyze data to implement best practices and provide positive healthcare outcomes for patients. Additionally, data mining is used to improve customer relationships and decision-making processes.

You are the administrator for Green Valley, long-term care facility with 120-bed and skilled care providers. You have been tasked with researching how data mining could be implemented into the decision-making processes at Green Valley. You will present your researched information to the organization’s regional administrators, CEO, director of nursing, and business office managers. It is your job to examine current research on data mining and present your findings and potential application to the organization’s decision and policy makers.

In your initial post of a minimum of 500 words,

  • Define data mining and the various technologies used for business analytics.
  • Discuss recent factors that have increased the popularity of data mining.
  • Describe some major data mining methods, algorithms, and benefits.
  • Compare two data mining applications used in the healthcare industry.
  • Support your response with at least three scholarly sources published in the last 5 years.

Data Mining in Healthcare

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Data Mining in Healthcare

Introduction

Data mining refers to the process of analyzing large datasets to identify patterns, correlations, and useful information that can help make informed decisions. In healthcare, data mining has become a valuable tool in improving clinical decision-making, reducing fraud, enhancing patient care, and optimizing operational efficiency. As healthcare organizations, including long-term care facilities like Green Valley, increasingly collect vast amounts of data, the application of data mining methods has become crucial for turning raw data into actionable insights that can drive policy, decision-making, and process improvements. This post explores the definition of data mining, the technologies used for business analytics, recent factors increasing its popularity, data mining methods, and its application in healthcare.

Data Mining and Technologies Used for Business Analytics

Data mining involves the use of various techniques to extract meaningful patterns from large datasets. These patterns can then be applied to make decisions that help optimize business processes and improve outcomes. Technologies used in business analytics for…

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