Data Dictionaries/Data Sets

Full Answer Section

Purpose of the Tool

The Cleveland Clinic uses SAS to:

• Identify high-risk patients
• Develop predictive models
• Support clinical decision-making
• Improve patient outcomes

Type of Analytics Performed

The Cleveland Clinic uses SAS to perform a variety of analytics, including:

• Association rule mining: This type of analytics involves identifying relationships between different variables in a dataset. For example, the Cleveland Clinic might use association rule mining to identify the factors that are associated with a higher risk of heart attack.
• Classification: This type of analytics involves predicting the outcome of a given event. For example, the Cleveland Clinic might use classification to predict whether a patient is likely to develop sepsis.
• Clustering: This type of analytics involves grouping similar items together. For example, the Cleveland Clinic might use clustering to group patients with similar medical conditions together.
• Regression: This type of analytics involves modeling the relationship between different variables in a dataset. For example, the Cleveland Clinic might use regression to model the relationship between blood pressure and heart disease risk.

Dashboard Example

The following dashboard shows an example of how the Cleveland Clinic might use SAS to visualize data related to sepsis risk:

[Insert PowerPoint slide with bar chart showing sepsis risk by patient characteristic]

The bar chart on this slide shows the average sepsis risk for different patient characteristics, such as age, gender, and underlying medical conditions.

This dashboard can help the Cleveland Clinic to identify the patient groups that are at highest risk of sepsis. It can also help the Cleveland Clinic to develop targeted interventions to reduce sepsis risk in these groups.

Conclusion

Data mining tools are a powerful tool for healthcare organizations. These tools can be used to mine data from a variety of sources and to identify patterns and trends that can be used to improve patient care. By using data mining tools, healthcare organizations can gain insights into their patient populations and make more informed decisions.

Sample Answer

One healthcare organization that makes use of a data mining tool is the Cleveland Clinic. The Cleveland Clinic uses the SAS data mining platform to identify patterns and trends in patient data that can be used to improve patient care.

Type of Data Involved

The Cleveland Clinic uses SAS to mine data from a variety of sources, including:

• Electronic health records (EHRs)
• Claims data
• Clinical trials data
• Patient surveys
• Population health data