Healthcare
Helpm31990
9781284118308_SLID_CH20.pptChapter 20:
Understanding the Impact of
Data Analytics and Big Data
- What are data analytics?
- What are healthcare analytics?
- What is big data?
- How is big data different?
- How is data volume measured?
(See Figure 20-1 on next slide.)
- What is big data in the healthcare industry?
Defining Data Analytics
Defining Data Analytics
- The Retrospective Analytics approach
- The Predictive Analytics approach
(See Figure 20-2 on next slide.)
- Prospective Analytics: a subset of Predictive Analytics
Two Basic Approaches to
Data Analytics (1 of 2)
Two Basic Approaches to
Data Analytics (2 of 2)
Figure 20-1 Two Basic Approaches to Data Analytics.
- Using predictive analytics to answer a patient population question
- Using predictive analytics in the Human Resources department
- Using a combination of retrospective and prospective data analytics
- Using a sophisticated analytics approach to combat prescription drug fraud
Data Analytics and Healthcare Analytics Serve Many Purposes
Data Mining
- What is data mining?
- A hospital’s clinical research is an example of data mining
- Another example is a hospital’s patient safety research
- How is data mining used?
- Developing a protocol through data mining
- Associating clinical data with cost data
Impacts of Healthcare Analytics
Impacts include:
- Corporate acquisition
- The Big Data revolution
- Collaborative efforts
- Conclusion
Challenges for Healthcare Analytics
