What are the three types of analytics used in healthcare?

In healthcare, analytics are used to identify patterns and trends in patient data. There are three main types of analytics: descriptive, predictive, and prescriptive. Descriptive analytics answer “what happened?” by providing a snapshot of past data. Predictive analytics answer “what could happen?” by using historical data to identify future trends.

(Visited 1 times, 1 visits today)
Category: Data Analysis

In healthcare, analytics are used to identify patterns and trends in patient data. There are three main types of analytics: descriptive, predictive, and prescriptive. Descriptive analytics answer “what happened?” by providing a snapshot of past data. Predictive analytics answer “what could happen?” by using historical data to identify future trends. Prescriptive analytics answer “what should happen?” by using data to generate recommendations for action. By understanding the different types of analytics, healthcare organizations can better utilize data to improve patient care.

Another way of classifying healthcare analytics is clinical, financial, and operational analytics. Clinical analytics is concerned with improving patient care by providing insights into disease trends and patient outcomes. Financial analytics is focused on reducing costs and optimizing reimbursement. Operational analytics is concerned with improving efficiency and productivity in the delivery of healthcare services. Each of these types of analytics has different applications and uses different data sources. However, all three types of analytics share a common goal: to improve the quality and cost-effectiveness of healthcare.

(Visited 1 times, 1 visits today)

Leave a Reply