HAC Cheat Sheet 2026

The 30 highest-yield HAC facts, distilled from real exam questions. Print it, save it as a PDF, or study it here — free, no sign-up.

1. What is the purpose of the HITECH Act in healthcare compliance? → Encourages adoption of electronic health records
2. What is a primary advantage of cloud-based healthcare data storage? → Provides scalable and remote access to data
3. Which principle from information design discourages the use of decorative 3D effects, excessive gridlines, and background images in healthcare dashboards? → Both B and C
4. A healthcare dashboard shows hospital readmission rates by department. Which visualization principle ensures viewers correctly interpret magnitude differences? → Starting the Y-axis at zero
5. What challenge is common in Population Health Analytics for Healthcare Analytics Certification? → Data quality, integration, and privacy concerns
6. What is the primary goal of Quality Improvement Metrics in Healthcare Analytics Certification? → Using data to improve healthcare quality, efficiency, and outcomes
7. Which analytical method is MOST appropriate for identifying clusters of patients with similar chronic disease patterns and utilization behaviors? → K-means clustering
8. What challenge is common in Patient Outcome Measurement for Healthcare Analytics Certification? → Data quality, integration, and privacy concerns
9. Which of the following is a key challenge in healthcare data management? → Data interoperability
10. Which type of data is primarily used in predictive analytics for patient outcomes? → Longitudinal patient records
11. How does machine learning contribute to predictive analytics in healthcare? → Finds patterns in healthcare data
12. What is a key challenge in healthcare performance reporting? → Ensuring data accuracy and integrity
13. When building a readmission prediction model, which feature is typically the strongest single predictor of 30-day readmission? → Number of prior hospitalizations in the past 12 months
14. What ethical consideration applies to Quality Improvement Metrics in Healthcare Analytics Certification? → Patient privacy, data security, and responsible use of insights
15. What challenge is common in Regulatory Reporting & Data Governance for Healthcare Analytics Certification? → Data quality, integration, and privacy concerns
16. Which visualization technique is best for showing how patients flow through stages of care from ED admission to discharge? → Sankey diagram
17. Which data type is most critical for Clinical Decision Support Systems in Healthcare Analytics Certification? → Clinical, administrative, and patient-reported data
18. Which dashboard design principle advises grouping the most critical KPIs in the upper-left area of the screen? → F-pattern reading behavior
19. Which trend is shaping the future of predictive analytics in healthcare? → AI-driven diagnostics
20. What ethical consideration applies to Clinical Decision Support Systems in Healthcare Analytics Certification? → Patient privacy, data security, and responsible use of insights
21. What ethical consideration applies to Cost-Effectiveness Analysis in Healthcare Analytics Certification? → Patient privacy, data security, and responsible use of insights
22. When visualizing HEDIS quality measure performance, which chart type effectively shows actual performance versus a target threshold simultaneously? → Bullet chart
23. Which data type is most critical for Quality Improvement Metrics in Healthcare Analytics Certification? → Clinical, administrative, and patient-reported data
24. Which data elements are MOST commonly used in predictive risk scoring models for healthcare analytics? → Prior utilization patterns, chronic condition burden, and demographic factors
25. What is the primary goal of Clinical Decision Support Systems in Healthcare Analytics Certification? → Using data to improve healthcare quality, efficiency, and outcomes
26. Which analytical approach models how changes in volume, price, or cost affect a healthcare organization's profitability? → Sensitivity (what-if) analysis
27. What is the primary purpose of performance measurement in healthcare? → Evaluate quality and efficiency
28. What ethical consideration applies to Health Information Exchange & Interoperability in Healthcare Analytics Certification? → Patient privacy, data security, and responsible use of insights
29. Which data type is most critical for Patient Outcome Measurement in Healthcare Analytics Certification? → Clinical, administrative, and patient-reported data
30. A healthcare organization's operating margin declined from 4.2% to 1.8% year over year. Which data set would FIRST help identify the root cause? → Service line revenue and expense detail by payer