Clinical Informatics Certification Clinical Informatics Data Analytics 2

Question 1

Which statistical measure is most appropriate for describing the central tendency of a skewed clinical dataset such as length of hospital stay?

Accepted Answer

Median

Answer

Mean

Answer

Mode

Answer

Standard deviation

Question 2

In clinical NLP pipelines, what is the primary purpose of named entity recognition (NER)?

Accepted Answer

Identify and classify clinical concepts such as diagnoses and medications in free text

Answer

Translate clinical notes into structured codes

Answer

Summarize discharge summaries automatically

Answer

Remove protected health information from documents

Question 3

A hospital wants to predict 30-day readmission risk. Which type of machine learning model outputs a probability score between 0 and 1?

Accepted Answer

Logistic regression

Answer

K-means clustering

Answer

Association rule mining

Answer

Principal component analysis

Question 4

Which data quality dimension refers to how well data reflects the real-world construct it is intended to measure?

Accepted Answer

Validity

Answer

Completeness

Answer

Timeliness

Answer

Concordance

Question 5

When building a predictive model with highly imbalanced classes (e.g., 1% positive cases), which evaluation metric is most informative?

Accepted Answer

Area under the ROC curve (AUROC)

Answer

Overall accuracy

Answer

Mean squared error

Answer

R-squared

Question 6

In a clinical data warehouse, a 'fact table' typically contains which type of information?

Accepted Answer

Quantitative measurements and foreign keys to dimension tables

Answer

Descriptive attributes about patients such as name and address

Answer

Master code lists for ICD and CPT codes

Answer

Audit logs of database transactions

Question 7

Which technique is used to handle missing clinical data by filling in plausible values based on observed data distributions?

Accepted Answer

Imputation

Answer

Oversampling

Answer

Normalization

Answer

Tokenization