Unlocking CensisAI²: The Metrics That Matter for Smarter SPD Decisions
Sterile processing departments are swimming in data, from workflow automation and supply data to patient outcome and quality metrics. But the real challenge is not collecting more information; it is knowing which metrics actually improve SPD performance, technician education, OR readiness and patient safety. For Censis, a leader in surgical asset management, the focus is on helping SPD teams turn that data into clearer instrument tracking, stronger workflow efficiency and better compliance. Censis estimates that an average OR minute costs about $60, making delayed cases a clear example of how operational data can quickly become a financial issue.
When every scan, delay and quality event generates another data point, how can SPD teams tell which metrics are worth acting on before inefficiencies turn into OR delays, rework or patient safety risks?
Welcome to ConCensis. In the latest episode, host Daniel Litwin, the Voice of B2B at MarketScale, welcomes Beth Perry, Business Intelligence & Analytics Engineer at Censis Technologies, for a presentation on how SPD teams can turn large volumes of operational data into practical decisions that improve productivity, quality, technician education and instrument availability. The discussion explores how CensisAI² helps teams identify the right metrics, understand what those metrics reveal and connect insights to measurable operational action.
What you’ll learn…
- Data only matters when it drives action. Perry explains that meaningful metrics should provide clear insight and influence decisions, helping SPD teams move from passive reporting to practical improvement.
- Productivity metrics should be tied to operational drivers. The discussion highlights items processed, count sheet quantity, average seconds per instrument assembled and time spent on core SPD workflows as ways to understand and improve throughput.
- Quality data can guide smarter technician education. Perry shows how event count, error rate, case delay minutes, responsible party count and average repertoire size can help managers decide whether an issue calls for individual coaching, team-wide training or proactive skill development.
Beth Perry brings more than a decade of experience in business intelligence, analytics, reporting and data systems, with a long tenure at Censis Technologies. In her current role as Engineer of Business Intelligence & Analytics, she focuses on translating business needs into effective data solutions that support clearer reporting and better decision-making. Her career also includes experience in systems engineering, enterprise data analysis, technical services, logistics, sales administration and technology adoption.
Article written by MarketScale.
