What Is Benchmarking
Benchmarking is the process of comparing an organization's performance metrics against a standard, whether internal historical performance, industry norms, or top-performing peer organizations. RHIA candidates should understand the different types of benchmarks and how they are applied to quality, financial, and operational metrics within HIM and healthcare organizations broadly.
Types of Benchmarks
- Internal benchmarking: comparing current performance against the organization's own historical data over time
- Competitive or external benchmarking: comparing performance against similar organizations, often using publicly reported data
- Best practice benchmarking: comparing against recognized top performers regardless of industry, to identify innovative practices that could be adapted
- Generic or functional benchmarking: comparing a specific process, such as revenue cycle turnaround, against organizations outside healthcare that excel in that function
Common Healthcare Benchmark Sources
Publicly available benchmark data sources include CMS Hospital Compare and its successor Care Compare platform, the National Database of Nursing Quality Indicators, and specialty registries maintained by organizations such as the American College of Surgeons. HIM departments also benchmark internal operational metrics, such as discharged-not-final-billed days, coding productivity, and release of information turnaround time, against industry-published standards from professional associations.
Risk Adjustment in Benchmarking
Fair benchmarking requires risk adjustment to account for differences in patient population severity and case mix between the organization and its comparison group. Without risk adjustment, an organization treating sicker, more complex patients may appear to underperform on raw outcome metrics even when its clinical quality is excellent, making risk-adjusted comparisons essential for meaningful conclusions.
Using Benchmark Data
Benchmarking is most valuable when tied to a structured performance improvement process: identifying gaps between current and benchmark performance, investigating root causes, implementing targeted interventions, and remeasuring over time. Benchmark data alone does not improve performance; it must be paired with actionable goal setting and accountability structures.
Limitations of Benchmarking
Candidates should be aware that benchmark comparisons can be misleading if data definitions differ between organizations, if sample sizes are too small to be statistically meaningful, or if the comparison group is not truly similar in scope, size, or patient population.
Exam Tips
Expect questions asking you to classify a benchmarking scenario into internal, competitive, or best-practice categories, and questions emphasizing the necessity of risk adjustment before drawing performance conclusions.
Key takeaway: Benchmarking provides essential context for interpreting performance data, and risk-adjusted, apples-to-apples comparisons are a core Analytics domain competency.