Page 1 of 36
CAHIMS REVIEW 2026 EXAM COMPLETE (100)
CURRENT TESTING QUESTIONS AND
CORRECT ANSWERS WITH DETAILED
EXPLANATIONS|GUARANTEED PASS.
CAHIMS
Prepare for the CAHIMS Review Exam with practice questions
covering healthcare information systems, health IT management,
data security, healthcare operations, project management, and
informatics principles. This study guide helps reinforce essential
healthcare technology concepts and supports effective certification
exam preparation. Designed to improve technical understanding
and boost confidence in healthcare information management roles.
Suitable for healthcare IT, informatics, and healthcare
administration professionals.
MULTIPLE CHOICE.
Domain I: Clinical & Business Analytics (15 Questions)
1. A hospital wants to reduce 30-day readmissions for heart failure. Which
analytics approach should they use to predict which patients are at highest risk
before discharge?
• A) Descriptive analytics
• B) Diagnostic analytics
• C) Predictive analytics
• D) Prescriptive analytics
Answer: C) Predictive analytics
Rationale: Predictive analytics uses historical data, statistical modeling, and machine
learning to forecast future events (e.g., readmission risk). Descriptive answers “what
happened”; diagnostic answers “why”; prescriptive recommends actions.
, Page 2 of 36
2. A dashboard shows that surgical site infections increased by 15% in Q3. To
understand the root cause, the analyst reviews which type of analytics?
• A) Predictive
• B) Prescriptive
• C) Diagnostic
• D) Cognitive
, Page 3 of 36
Answer: C) Diagnostic
Rationale: Diagnostic analytics drills into data to determine why an event occurred (e.g.,
drill-down by surgeon, time, instrument sterilization logs).
3. Which statistical measure is most appropriate to describe the central tendency
of length of stay when the distribution is highly skewed by a few long-stay
patients?
• A) Mean
• B) Mode
• C) Median
• D) Range
Answer: C) Median
Rationale: The median is resistant to outliers, unlike the mean. In skewed distributions,
median provides a better central value for typical LOS.
4. A healthcare data analyst needs to compare mortality rates across three ICUs
with different case mixes. Which approach should they use?
• A) Raw mortality rate
• B) Risk adjustment using logistic regression
• C) Chi-square test only
• D) Standard deviation comparison
Answer: B) Risk adjustment using logistic regression
Rationale: Risk adjustment accounts for patient severity and comorbidity differences,
enabling fair comparisons across heterogeneous populations.
5. Which type of data visualization is best for showing the relationship between
two continuous variables (e.g., age and total cholesterol)?
• A) Pie chart
• B) Bar chart
, Page 4 of 36
• C) Scatter plot
• D) Histogram
Answer: C) Scatter plot
Rationale: Scatter plots display paired continuous data and reveal correlation, clusters, or
outliers.
6. Which of the following is an example of a key performance indicator (KPI) for
ambulatory clinic efficiency?
• A) Number of EHR modules installed
• B) Patient wait time in exam room
• C) Server uptime percentage
• D) Number of IT help desk tickets
Answer: B) Patient wait time in exam room
Rationale: KPIs measure clinical or operational performance. Wait time directly impacts
patient flow and satisfaction.
7. A hospital’s readmission rate is 18% compared to the national benchmark of
14%. This gap represents an opportunity for:
• A) Compliance reporting
• B) Practice variation reduction
• C) Hardware upgrade
• D) Password policy revision
Answer: B) Practice variation reduction
Rationale: Higher readmissions often indicate unwarranted clinical variation or discharge
process gaps—analytics can drive standardization.
8. Which analytics maturity level would answer: “What should we do if ICU bed
capacity reaches 95%?”
CAHIMS REVIEW 2026 EXAM COMPLETE (100)
CURRENT TESTING QUESTIONS AND
CORRECT ANSWERS WITH DETAILED
EXPLANATIONS|GUARANTEED PASS.
CAHIMS
Prepare for the CAHIMS Review Exam with practice questions
covering healthcare information systems, health IT management,
data security, healthcare operations, project management, and
informatics principles. This study guide helps reinforce essential
healthcare technology concepts and supports effective certification
exam preparation. Designed to improve technical understanding
and boost confidence in healthcare information management roles.
Suitable for healthcare IT, informatics, and healthcare
administration professionals.
MULTIPLE CHOICE.
Domain I: Clinical & Business Analytics (15 Questions)
1. A hospital wants to reduce 30-day readmissions for heart failure. Which
analytics approach should they use to predict which patients are at highest risk
before discharge?
• A) Descriptive analytics
• B) Diagnostic analytics
• C) Predictive analytics
• D) Prescriptive analytics
Answer: C) Predictive analytics
Rationale: Predictive analytics uses historical data, statistical modeling, and machine
learning to forecast future events (e.g., readmission risk). Descriptive answers “what
happened”; diagnostic answers “why”; prescriptive recommends actions.
, Page 2 of 36
2. A dashboard shows that surgical site infections increased by 15% in Q3. To
understand the root cause, the analyst reviews which type of analytics?
• A) Predictive
• B) Prescriptive
• C) Diagnostic
• D) Cognitive
, Page 3 of 36
Answer: C) Diagnostic
Rationale: Diagnostic analytics drills into data to determine why an event occurred (e.g.,
drill-down by surgeon, time, instrument sterilization logs).
3. Which statistical measure is most appropriate to describe the central tendency
of length of stay when the distribution is highly skewed by a few long-stay
patients?
• A) Mean
• B) Mode
• C) Median
• D) Range
Answer: C) Median
Rationale: The median is resistant to outliers, unlike the mean. In skewed distributions,
median provides a better central value for typical LOS.
4. A healthcare data analyst needs to compare mortality rates across three ICUs
with different case mixes. Which approach should they use?
• A) Raw mortality rate
• B) Risk adjustment using logistic regression
• C) Chi-square test only
• D) Standard deviation comparison
Answer: B) Risk adjustment using logistic regression
Rationale: Risk adjustment accounts for patient severity and comorbidity differences,
enabling fair comparisons across heterogeneous populations.
5. Which type of data visualization is best for showing the relationship between
two continuous variables (e.g., age and total cholesterol)?
• A) Pie chart
• B) Bar chart
, Page 4 of 36
• C) Scatter plot
• D) Histogram
Answer: C) Scatter plot
Rationale: Scatter plots display paired continuous data and reveal correlation, clusters, or
outliers.
6. Which of the following is an example of a key performance indicator (KPI) for
ambulatory clinic efficiency?
• A) Number of EHR modules installed
• B) Patient wait time in exam room
• C) Server uptime percentage
• D) Number of IT help desk tickets
Answer: B) Patient wait time in exam room
Rationale: KPIs measure clinical or operational performance. Wait time directly impacts
patient flow and satisfaction.
7. A hospital’s readmission rate is 18% compared to the national benchmark of
14%. This gap represents an opportunity for:
• A) Compliance reporting
• B) Practice variation reduction
• C) Hardware upgrade
• D) Password policy revision
Answer: B) Practice variation reduction
Rationale: Higher readmissions often indicate unwarranted clinical variation or discharge
process gaps—analytics can drive standardization.
8. Which analytics maturity level would answer: “What should we do if ICU bed
capacity reaches 95%?”
