Clinical Informatics Data Analytics 1 — Questions and Answers
Question 1: What is the primary purpose of data analytics in healthcare?
- To delay treatment
- To increase paperwork
- To support clinical decisions and outcomes (Correct answer)
- To limit patient access
Correct answer: To support clinical decisions and outcomes
Healthcare analytics is used to improve patient outcomes, reduce costs, and support evidence-based decisions.
Question 2: Which type of data is commonly used in clinical analytics?
- Weather data
- Social media likes
- Structured clinical data (Correct answer)
- Paper records only
Correct answer: Structured clinical data
Structured data from EHRs, such as lab results and diagnosis codes, is critical for accurate analysis.
Question 3: What is predictive analytics used for in healthcare?
- To verify insurance claims
- To measure air quality
- To forecast patient outcomes (Correct answer)
- To order supplies
Correct answer: To forecast patient outcomes
Predictive analytics forecasts future outcomes like disease risk, hospital readmissions, and treatment responses.
Question 4: Which tool is essential for data visualization in informatics?
- Fax machine
- Clinical Decision Tree
- Analytics dashboard (Correct answer)
- Clipboard
Correct answer: Analytics dashboard
Dashboards are used to display real-time metrics and analytics clearly and accessibly for healthcare teams.
Question 5: What does a data analyst do with outliers in clinical data?
- Delete all of them automatically
- Ignore the values
- Investigate for accuracy and context (Correct answer)
- Replace them with averages
Correct answer: Investigate for accuracy and context
Outliers are examined to determine if they result from data entry errors or represent valid, unusual cases.
Question 6: Why is data quality important in healthcare analytics?
- To make reports look good
- To increase storage usage
- To ensure reliable insights and decisions (Correct answer)
- To avoid using data
Correct answer: To ensure reliable insights and decisions
Accurate and complete data ensures reliable analysis and supports quality care and decision-making.
Clinical Informatics Data Analytics 1
What is the primary purpose of data analytics in healthcare?