HEALTHCARE ANALYTICS EXAMINATION QUESTIONS
AND CORRECT ANSWER WITH EXPLANATION GRADED
A+ STUDY GUIDE SOUTHERN NEW HAMPSHIRE
UNIVERSITY
1. Healthcare analytics involves:
A. Using data to improve healthcare decisions and outcomes
B. Parking management only
C. Landscaping operations only
D. Cafeteria scheduling only
Answer: A
Rationale: Healthcare analytics transforms healthcare data into actionable insights.
2. The primary goal of healthcare analytics is to:
A. Improve patient care and operational efficiency
B. Eliminate medical records
C. Ignore healthcare trends
D. Reduce communication
Answer: A
Rationale: Analytics supports better clinical and business decisions.
3. Descriptive analytics focuses on:
A. Understanding past events and trends
B. Predicting future outcomes only
C. Eliminating healthcare data
D. Ignoring performance metrics
Answer: A
Rationale: Descriptive analytics summarizes historical data.
4. Predictive analytics is used to:
,A. Forecast future healthcare outcomes
B. Eliminate patient records
C. Ignore risk factors
D. Replace clinical judgment completely
Answer: A
Rationale: Predictive models estimate future events.
5. Prescriptive analytics helps organizations:
A. Recommend actions based on data analysis
B. Eliminate decision-making
C. Ignore healthcare performance
D. Reduce data collection
Answer: A
Rationale: Prescriptive analytics supports strategic decisions.
6. Electronic Health Records (EHRs) are important because they:
A. Store digital patient health information
B. Replace healthcare professionals
C. Eliminate patient privacy
D. Ignore documentation standards
Answer: A
Rationale: EHRs centralize patient data electronically.
7. Data visualization in healthcare analytics is used to:
A. Present data in charts, graphs, and dashboards
B. Eliminate reporting requirements
C. Ignore healthcare trends
D. Reduce communication
Answer: A
Rationale: Visualization improves understanding of complex data.
8. A dashboard in healthcare analytics provides:
, A. Real-time performance metrics and insights
B. Payroll management only
C. Parking schedules only
D. Landscaping costs only
Answer: A
Rationale: Dashboards support rapid decision-making.
9. Key Performance Indicators (KPIs) are used to:
A. Measure organizational performance
B. Eliminate data analysis
C. Ignore patient outcomes
D. Reduce accountability
Answer: A
Rationale: KPIs evaluate healthcare goals and outcomes.
10. Healthcare big data is characterized by:
A. High volume, velocity, and variety of data
B. Small paper records only
C. Payroll systems only
D. Parking records only
Answer: A
Rationale: Big data involves massive and complex datasets.
11. Clinical decision support systems assist providers by:
A. Delivering evidence-based recommendations
B. Eliminating clinical judgment
C. Ignoring patient safety
D. Reducing documentation requirements
Answer: A
Rationale: Decision support tools improve care quality.
12. Data mining in healthcare involves:
AND CORRECT ANSWER WITH EXPLANATION GRADED
A+ STUDY GUIDE SOUTHERN NEW HAMPSHIRE
UNIVERSITY
1. Healthcare analytics involves:
A. Using data to improve healthcare decisions and outcomes
B. Parking management only
C. Landscaping operations only
D. Cafeteria scheduling only
Answer: A
Rationale: Healthcare analytics transforms healthcare data into actionable insights.
2. The primary goal of healthcare analytics is to:
A. Improve patient care and operational efficiency
B. Eliminate medical records
C. Ignore healthcare trends
D. Reduce communication
Answer: A
Rationale: Analytics supports better clinical and business decisions.
3. Descriptive analytics focuses on:
A. Understanding past events and trends
B. Predicting future outcomes only
C. Eliminating healthcare data
D. Ignoring performance metrics
Answer: A
Rationale: Descriptive analytics summarizes historical data.
4. Predictive analytics is used to:
,A. Forecast future healthcare outcomes
B. Eliminate patient records
C. Ignore risk factors
D. Replace clinical judgment completely
Answer: A
Rationale: Predictive models estimate future events.
5. Prescriptive analytics helps organizations:
A. Recommend actions based on data analysis
B. Eliminate decision-making
C. Ignore healthcare performance
D. Reduce data collection
Answer: A
Rationale: Prescriptive analytics supports strategic decisions.
6. Electronic Health Records (EHRs) are important because they:
A. Store digital patient health information
B. Replace healthcare professionals
C. Eliminate patient privacy
D. Ignore documentation standards
Answer: A
Rationale: EHRs centralize patient data electronically.
7. Data visualization in healthcare analytics is used to:
A. Present data in charts, graphs, and dashboards
B. Eliminate reporting requirements
C. Ignore healthcare trends
D. Reduce communication
Answer: A
Rationale: Visualization improves understanding of complex data.
8. A dashboard in healthcare analytics provides:
, A. Real-time performance metrics and insights
B. Payroll management only
C. Parking schedules only
D. Landscaping costs only
Answer: A
Rationale: Dashboards support rapid decision-making.
9. Key Performance Indicators (KPIs) are used to:
A. Measure organizational performance
B. Eliminate data analysis
C. Ignore patient outcomes
D. Reduce accountability
Answer: A
Rationale: KPIs evaluate healthcare goals and outcomes.
10. Healthcare big data is characterized by:
A. High volume, velocity, and variety of data
B. Small paper records only
C. Payroll systems only
D. Parking records only
Answer: A
Rationale: Big data involves massive and complex datasets.
11. Clinical decision support systems assist providers by:
A. Delivering evidence-based recommendations
B. Eliminating clinical judgment
C. Ignoring patient safety
D. Reducing documentation requirements
Answer: A
Rationale: Decision support tools improve care quality.
12. Data mining in healthcare involves:
