Stop Losing Critical Insights in Your Lab Workflow Gain Real-Time Visibility into Test Results and Turnaround Times

How do your dashboards ensure HIPAA compliance in lab environments?

We embed HIPAA standards from the outset, using end-to-end encryption for all data transmissions and storage. Access controls are granular—technicians see only TAT metrics, while directors view full compliance logs. Our systems undergo third-party audits, and we've helped labs achieve 100% pass rates in recent inspections. Unlike generic tools, we customize de-identification protocols for PHI in test results, ensuring patient privacy without sacrificing usability. This regulatory-aware design has reduced compliance workload for our clients by 40%, letting labs focus on diagnostics.

Yes, we specialize in deep, two-way integrations with systems like Epic Beaker, Cerner PathNet, or Sunquest. Our engineers map your data flows—pulling in specimen details, results, and orders—to create a unified view. No superficial connectors here; we build robust APIs that handle high-throughput lab data without latency. For a recent client, this cut manual data entry from 15 hours weekly to near zero, boosting accuracy in hematology reporting. We start with a compatibility audit to ensure seamless fit.

What metrics are typically tracked in lab testing dashboards?

We tailor metrics to your operations, but core ones include turnaround times by test category (e.g., STAT vs. routine), specimen volume trends, error rates in accessioning, and equipment uptime. For patient-centric focus, we add diagnostic yield KPIs and referral source performance. Benchmarks like the 90% TAT compliance from CAP guidelines are visualized with alerts. One lab we worked with used our setup to monitor PCR cycle thresholds, improving outbreak response by 25%. It's all custom— no one-size-fits-all.

How long does it take to build and deploy a custom dashboard?

Timeline varies by complexity, but most labs see a MVP in 6-8 weeks, with full deployment in 10-12 weeks. We kick off with a two-week discovery phase to map workflows, then iterate builds with your feedback. For a mid-sized toxicology lab, we delivered initial TAT tracking in five weeks, scaling to full integration shortly after. Post-launch, we provide training and a 30-day optimization period. This agile approach ensures your dashboard evolves with lab needs, like new assay rollouts, without delays.

Are your dashboards scalable for growing lab volumes?

Absolutely—built on scalable cloud architectures like AWS with auto-scaling, they handle spikes from 1,000 to 10,000 daily tests without performance dips. We incorporate AI for predictive scaling, forecasting busy periods like flu season. A client processing oncology panels saw seamless growth from 500 to 2,000 samples weekly, with zero downtime. Unlike rigid SaaS options, our custom code allows hardware upgrades and feature additions, ensuring your investment supports expansion for years.

What support do you offer after dashboard implementation?

Ongoing support is baked in: 24/7 monitoring for uptime, quarterly reviews to refine metrics based on lab data, and AI tuning for evolving insights. We assign a dedicated healthcare specialist for troubleshooting—response times average under 2 hours. For one virology lab, this meant quick adjustments during a variant surge, maintaining 99.9% accuracy. No endless tickets; we treat it as a partnership, with optional annual enhancements to keep your dashboard at the forefront of lab tech.