What is Lab Analytics?
Data-Driven Laboratory Insights
Trusted by leading diagnostic labs and life sciences companies
- Lab Analytics
- Lab analytics is the use of data analysis tools and techniques to extract insights from laboratory data. This includes operational metrics (TAT, volume, productivity), quality indicators (QC, errors, rejections), and business intelligence (revenue, utilization, trends).
Modern lab analytics leverages data from LIMS/LIS, instruments, billing systems, and other sources to provide actionable insights. Dashboards, reports, and predictive models help laboratory leaders make informed decisions about operations, staffing, and strategic direction.
Types of Lab Analytics
Operational
TAT, volume, throughput, utilization metrics
Quality
QC trends, error rates, proficiency testing
Financial
Revenue, cost per test, payer mix analysis
Trending
Volume forecasting, seasonal patterns
Benchmarking
Compare performance to industry standards
Predictive
Forecast demand, identify bottlenecks
Key Lab Metrics
Turnaround time by test and priority
Volume by test, department, client
Productivity (tests per FTE)
Specimen rejection rates
QC performance and out-of-range rates
Revenue per test and per patient
Critical value notification times
Auto-verification rates