Are You Buying Equipment You Don’t Need?
Often, yes. And there’s no reliable way to know without lab asset Utilization Monitoring. When purchasing decisions rely on institutional memory rather than lab equipment usage data, teams routinely fund capacity they already have.
One biopharma organization discovered $180,000 in idle incubators while preparing to purchase new ones. The intelligence to prevent that mistake was already in the building. It just wasn’t visible.
Why Historical Knowledge Becomes an Expensive Budget Item
Every lab runs on a degree of historical knowledge, the informal understanding of who uses what, which instruments matter, and where the bottlenecks live. It’s useful, but it can also be expensive.
When capital planning depends on institutional memory rather than data-driven usage tracking, three things tend to happen:
- Scientists advocate for the tools closest to their own work, biasing the request list toward departmental preference rather than fleet-wide need.
- Service contracts get renewed as a matter of course, whether the underlying instrument is running daily or gathering dust.
- Redundant capacity hides in plain sight because no one has the empirical view needed to see it.
Industry observers report that nearly two-thirds of instruments in R&D labs sit idle at any given time.¹ Other analyses suggest idle rates can reach 40 percent in labs that rely on spreadsheets and manual scheduling.² The exact figure at any given facility matters less than the pattern that labs are funding capacity they already have.
The old operations adage applies: “What you can’t see, you can’t manage.” Utilization is one of the most consequential blind spots in pharmaceutical asset management, and like Schrodinger’s cat, no one really knows what’s going on until someone measures it.
What Effective Lab Asset Utilization Monitoring Looks Like in Practice
A recent engagement with a multinational biopharma organization illustrates how quickly the picture changes once the data exist. The team was preparing to expand its fleet, considering new incubator purchases, and renewing service contracts by default. Leadership suspected there were inefficiencies but had no way to spot them.
They deployed Elemental Machines lab asset Utilization Monitoring across the fleet, connecting instruments to a lab usage dashboard that provided real-time and historical visibility into usage patterns. Within the pilot period, monitoring surfaced three $60,000 incubators that had not been opened once during the observation window. The root causes were mundane and fixable:
- One was broken
- One was set to the wrong temperature
- One was inconvenient to access
Total exposure came to $180,000 in idle capacity, and a planned purchase order for additional incubators that would have compounded the problem. Instead, the team remediated the existing units and canceled the new order.
The same lab usage reports revealed service contracts on non-critical devices with low utilization. By layering criticality onto lab equipment usage data, the operations team could tell which instruments needed full preventive maintenance contracts and which could run at reduced cost or without a contract at all.
How Does Utilization Data Change Capital Planning?
Capital requests get evaluated against actual capacity rather than perceived capacity, and service contract renewals get tied to criticality and usage rather than habit. Redistribution of work across underused instruments becomes an option, extending fleet longevity and reducing wear on the top-shelf favorites that get used most. Sustainability metrics like freezer door open times, cumulative energy consumption, and inconsistent sash closing become measurable.
None of this requires interviewing scientists about their habits. The data speak for themselves. Historical knowledge remains useful for the questions data can’t answer, and stops being the sole input to six-figure purchasing decisions.
Frequently Asked Questions
Lab asset Utilization Monitoring is the continuous measurement of how often, and in what patterns, lab instruments are used. It captures on, off, and in-use states across a fleet, giving operations teams empirical data for capital planning, service contract decisions, and workflow design.
Utilization data reveal hidden capacity. Instruments assumed to be busy are often idle for reasons that are fixable (e.g., a broken unit, a wrong setpoint, or an inconvenient location). Before approving new purchases, teams can identify existing units that are underused and address the causes.
No. Element-U sensors detect electrical draw externally, with no wired connection to the instrument. Installation is noninvasive and does not require taking instruments offline.
Utilization is one of four connected capabilities within a full lab asset management view, alongside alerting and monitoring, asset management, and data automation. Layering criticality onto utilization data lets teams defend service contract, capital, and maintenance decisions with the same empirical evidence base.
References
1 Lab Manager. Lab Equipment Scheduling: The Blind Spot Costing R&D Labs Time, Money, and Trust. December 4, 2025.
2 QBench. 45 Lab Metrics You Need to Track.