Actuarial Examinations · GH 301

SOA Health Analytics and Management Examination Practice Test

Health analytics applies quantitative methods to questions about care quality, outcomes, utilization, and cost. This practice page’s question vocabulary includes diagnostic test performance, comparisons across populations, evaluation of care programs, hospital operations, health data stewardship, and estimating the budget impact of a service.

Exam overview

Exam providerSociety of Actuaries
Exam codeGH 301
CategoryActuarial Examinations

About the SOA Health Analytics and Management Examination Exam

The scenarios call for matching an analytic method to the decision at hand. They touch on sensitivity and specificity when assessing diagnostic tests; risk adjustment when comparing providers serving populations with different health profiles; and confidence intervals as a measure of precision around an estimated program effect. Study the role of randomization in reducing baseline differences between groups, and distinguish operational measures such as occupancy and average length of stay. Other questions connect analytics to practice: selecting a time-series chart, protecting identifiable patient data before sharing, estimating how many eligible members a fixed budget can cover, and linking records without duplicating patients. Together, these concepts support decisions about care delivery, performance measurement, resource allocation, and responsible use of health information.

Sample Practice Questions

Review a selection from this exam's published US Practice Tests practice bank.

Question 1

A health system wants to estimate the proportion of patients with a condition who are correctly identified by a diagnostic test. Which test property should it examine?

  1. ASensitivity
  2. BSpecificity
  3. CNegative predictive value
  4. DLikelihood ratio for a negative result
Show answerCorrect answer: A

Sensitivity is the proportion of people who truly have the condition who test positive. It measures how well the test detects cases. Specificity instead concerns correctly identifying people who do not have the condition.

Question 2

A health plan wants to compare the average cost of care between two provider groups, but the groups serve populations with different age and illness profiles. Which approach best supports a fair comparison?

  1. ACompare unadjusted average costs and attribute any difference to provider performance
  2. BAdjust for relevant differences in patient risk before comparing costs
  3. CExclude all patients with chronic conditions from both groups
  4. DCompare total spending without considering the number of patients
Show answerCorrect answer: B

Risk adjustment accounts for differences in patient characteristics that affect expected spending, making comparisons more informative. It does not eliminate every source of bias, but unadjusted comparisons can confuse case mix with performance.

Question 3

A health program's estimated effect is the difference between outcomes in the program group and a comparison group. Which uncertainty measure would commonly be reported to convey the precision of this estimate?

  1. AA confidence interval
  2. BThe largest observed outcome
  3. CThe program's enrollment date
  4. DThe number of outcomes rounded to the nearest whole number
Show answerCorrect answer: A

A confidence interval gives a range of values compatible with the data under the method's assumptions and communicates the estimate's precision. A point estimate alone does not show how uncertain the result is.

Question 4

In a randomized study of a care-management program, which principle most directly helps make the treatment and control groups comparable at the start of the study?

  1. ARandom assignment of participants to groups
  2. BSelecting only participants who complete the program
  3. CMeasuring outcomes only after the program ends
  4. DUsing a larger number of outcome measures
Show answerCorrect answer: A

Random assignment tends to balance measured and unmeasured baseline characteristics across groups, supporting causal comparisons when the study is implemented and analyzed appropriately.

Question 5

A clinic's appointment schedule has frequent unused slots because many patients cancel shortly before their visits. Which operational change is most directly aimed at reducing this unused capacity?

  1. AIncrease the average length of every appointment
  2. BUse a waitlist to offer newly available appointments to patients seeking earlier visits
  3. CReduce the number of clinicians without changing the schedule
  4. DSchedule all patients at the same time of day
Show answerCorrect answer: B

A waitlist allows the clinic to fill slots that become available after cancellations, making better use of existing appointment capacity. The other options do not directly match newly opened slots with patients who can use them.

Question 6

A hospital’s inpatient occupancy rate is calculated over a month. Which numerator and denominator are appropriate for this measure?

  1. AOccupied bed-days divided by available bed-days
  2. BAdmissions divided by staffed beds
  3. CDischarges divided by occupied bed-days
  4. DAvailable bed-days divided by occupied bed-days
Show answerCorrect answer: A

Occupancy over a period is the number of occupied bed-days divided by the number of available bed-days in that period. It describes the proportion of available inpatient capacity that was used.

Question 7

A data analyst needs to display the monthly trend in a hospital's average length of stay over three years. Which chart is generally most suitable for showing change over time?

  1. AA line chart with months in chronological order on the horizontal axis
  2. BA pie chart with one slice for each month
  3. CA scatterplot with randomly ordered months
  4. DA stacked bar chart of patient names
Show answerCorrect answer: A

A line chart with time ordered chronologically makes trends, changes, and recurring patterns easier to see. Pie charts are intended for part-to-whole comparisons at a point in time, not a long time series.

How to use this practice test

Access is free. A session presents up to 20 random questions from the 50 published practice questions and shows results after completion. Use the items to check whether you can identify the right measure or method for a health scenario, then revisit concepts behind any missed answers.

Preparation tips

  • Review sensitivity and specificity, and practice identifying which measure answers questions about correctly detected cases versus correctly ruled-out cases.
  • Work through provider-comparison examples that require adjusting for differences in age, illness burden, or other population characteristics.
  • For program evaluations, distinguish random assignment from other study features and interpret a confidence interval as information about estimate precision.
  • Practice defining operational measures precisely, including the numerator and denominator for occupancy and the use of trend charts for monthly data.
  • For health data scenarios, consider privacy safeguards before sharing identifiable records and patient-matching methods that prevent duplicate counts.
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