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1. What is data science in health informatics?
A. The study of collecting, analyzing, and interpreting healthcare data
B. The study of healthcare informatics systems
C. The study of implementing electronic health records
D. The study of medical coding and billing
Answer: A. The study of collecting, analyzing, and interpreting healthcare
data
Rationale: Data science in health informatics involves the use of data to
improve healthcare outcomes through analysis and interpretation.
2. Which of the following is NOT a common application of data science in
health informatics?
A. Predictive analytics for patient outcomes
B. Clinical decision support systems
C. Inventory management in hospitals
D. Population health management
Answer: C. Inventory management in hospitals
Rationale: While inventory management may use data science techniques,
it is not as common in the field of health informatics compared to other
applications.
3. Which of the following is an example of structured data in healthcare?
A. Patient notes
B. Lab results
C. X-ray images
D. Physician dictations
Answer: B. Lab results
Rationale: Lab results are typically well-defined and structured data
compared to other forms of documentation.
4. What is the purpose of using data analytics in healthcare?
A. To increase healthcare costs
B. To improve patient outcomes
C. To limit access to healthcare services
D. To decrease efficiency in healthcare organization
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