Data Dictionaries/Data Sets

Full Answer Section

Dashboard Tool

Another data analytics tool that the Cleveland Clinic uses is Sisense. Sisense is a business intelligence platform that allows users to create and share interactive dashboards. The Cleveland Clinic uses Sisense to create dashboards that help them to track and analyze a variety of data, including patient data, clinical data, and financial data. For example, the Cleveland Clinic uses Sisense to create dashboards that show the number of patients who are being treated for specific diseases, the cost of providing care to different types of patients, and the revenue generated from different sources. This information helps the Cleveland Clinic to make informed decisions about how to allocate resources and improve patient care.

Data Capture Tool

One of the data capture tools that the Cleveland Clinic uses is Epic. Epic is an electronic health record (EHR) system that is used to capture and store patient data. The Cleveland Clinic uses Epic to collect data on patient demographics, medical history, medications, and treatments. This data is then used to improve patient care and to conduct clinical research.

Data Mining Tool

One of the data mining tools that the Cleveland Clinic uses is SAS. SAS is a software suite that allows users to analyze data and extract insights. The Cleveland Clinic uses SAS to data mine patient data to identify trends and patterns. For example, the Cleveland Clinic has used SAS to identify patients who are at risk of developing certain diseases and to identify patients who are at risk of readmission to the hospital. This information is then used to develop targeted interventions to improve patient care.

Type of Data Involved

The type of data that is involved in the data analytics tools that the Cleveland Clinic uses varies depending on the tool and the purpose of the analysis. However, some of the most common types of data that are involved include:

• Patient demographics (e.g., name, age, gender, race, ethnicity, address, insurance status)
• Medical history (e.g., diagnoses, procedures, medications, allergies)
• Clinical data (e.g., vital signs, lab results, imaging results)
• Financial data (e.g., charges, payments, reimbursements)

Purpose of the Tools

The purpose of the data analytics tools that the Cleveland Clinic uses is to improve patient care and to make better business decisions. The Cleveland Clinic uses data analytics tools to:

• Track and analyze KPIs
• Identify trends and patterns in patient data
• Develop targeted interventions to improve patient care
• Make informed decisions about how to allocate resources
• Improve efficiency
• Reduce costs

Type of Analytics Performed

The type of analytics that is performed via the data analytics tools that the Cleveland Clinic uses varies depending on the tool and the purpose of the analysis. However, some of the most common types of analytics that are performed include:

• Descriptive analytics: Descriptive analytics is used to describe what has happened in the past. For example, the Cleveland Clinic might use descriptive analytics to track the number of patients who are admitted to the hospital each month or to identify the most common diagnoses among patients who are admitted to the hospital.
• Predictive analytics: Predictive analytics is used to predict what will happen in the future. For example, the Cleveland Clinic might use predictive analytics to identify patients who are at risk of developing certain diseases or to identify patients who are at risk of readmission to the hospital.
• Prescriptive analytics: Prescriptive analytics is used to recommend actions that can be taken to improve outcomes. For example, the Cleveland Clinic might use prescriptive analytics to develop targeted interventions to prevent patients from developing certain diseases or to prevent patients from being readmitted to the hospital.

Sample Answer

The Cleveland Clinic is a non-profit academic medical center that is headquartered in Cleveland, Ohio. It is one of the largest and most prestigious hospitals in the United States. The Cleveland Clinic uses a variety of data analytics tools, including data visualization, dashboards, data capture, and data mining.

Data Visualization Tool

One of the data visualization tools that the Cleveland Clinic uses is Tableau. Tableau is a software platform that allows users to create interactive data visualizations. The Cleveland Clinic uses Tableau to create dashboards and reports that help them to track and analyze key performance indicators (KPIs). For example, the Cleveland Clinic uses Tableau to track the number of patients who are admitted to the hospital, the average length of stay, and the number of patients who are discharged each day. This information helps the Cleveland Clinic to identify trends and areas where they can improve efficiency.