When I first started working in diagnostic and surgical devices, I had no idea how much goes into making sure a piece of equipment works as it’s supposed to—way more than just “does it light up or take a picture.” As a supplier, I get asked all the time, “How do you even measure if your stuff is good enough for hospitals and clinics?” It’s not a simple answer, but it’s something I live and breathe every single day, because if our devices don’t perform, we’re letting doctors, nurses, and most importantly, patients down. Let me break this down like I would to a new sales rep or a hospital admin who’s never dug into the tech side. Diagnostic and Surgical Device
First off, you can’t measure performance without knowing what the device is supposed to do in the first place. For a diagnostic device—say, a portable ultrasound or a blood glucose meter—its “job” is pretty clear: get accurate results fast, every time, even when conditions are messy. Surgical devices? Like a laparoscopic cautery or a surgical drill? They need to work consistently, safely, and not mess up the area around where they’re supposed to operate. So right out the gate, we start with what’s called “performance benchmarks,” and these aren’t just numbers we pull out of thin air—they’re based on FDA guidelines, ISO standards, and feedback from actual clinicians who use the gear. No cutting corners here.
Let’s start with diagnostic devices because that’s where a lot of our early conversations with customers happen. Take our new point-of-care (POC) PCR test for respiratory viruses, for example. One of the biggest measurements is “analytical sensitivity”—basically, how well it can pick up tiny amounts of the virus. Like, if someone has a really early infection with barely any virus in their sample, does this test catch it, or does it give a false negative? We test this by spiking samples with known amounts of the virus (we use lab-cultured strains, not patient samples, for consistency) and seeing how many times the test comes back positive when it should. The FDA says we need 95% or better sensitivity for these, and we don’t stop until we hit 98% minimum. Last year, we ran 12,000+ spike samples over 6 weeks to nail that down—no one wants a test that misses a case because it wasn’t sensitive enough.
Then there’s “analytical specificity,” which is the flip side: how well the test doesn’t pick up stuff that’s not the virus. Like, if a sample has a common cold virus or even some random debris from the swab, does the PCR test mistake that for our target? That causes false positives, which are a huge pain for hospitals—they end up isolating patients unnecessarily, wasting resources. We test this too, using 50+ other common respiratory pathogens and even human DNA to make sure the test only reacts to what it’s supposed to. For this, we aim for 99% specificity, and again, we run hundreds of samples to confirm.
For diagnostic imaging stuff—our portable ultrasound machines, for instance—performance is all about image quality, but how do you measure that, not just say “the picture looks good”? We use tissue-mimicking phantoms, which are basically gel blocks that mimic human tissue (like muscle, fat, and organs) with tiny holes or structures that show up on ultrasound. We send the ultrasound through these phantoms and measure things like spatial resolution (can it see a tiny 1mm lesion, or is it blurry?), contrast resolution (can it tell the difference between a small tumor and the surrounding tissue, not just a big blob?), and depth penetration (can it see the kidney at the right depth, not just the skin?). We also have human clinicians (we partner with 10 small clinics across the US for this) score the images blindly—they don’t know if it’s our machine or a competitor’s—and our average score is always 10% higher than the minimum required by ISO 10993. That matters because a doctor’s diagnosis depends on being able to see what’s in there.
Now moving on to surgical devices—this is the stuff that’s literally cutting into people, so performance here is non-negotiable. Let’s take our laparoscopic cautery unit, which is used to seal blood vessels during minimally invasive surgery. The big one here is “seal burst pressure”—how much pressure the sealed vessel can take before it breaks. Surgeons hate when a seal pops mid-op, because that means bleeding they have to fix on the fly. We test this by taking pig arteries (they’re the closest match to human tissue for sealing) and sealing them with our cautery, then pumping fluid into them until they burst. The average for a good seal is 120 mmHg, but we aim for 150 mmHg minimum—last quarter, we tested 200 artery samples and got an average of 162 mmHg, which is way over the bar. We also test for “thermal spread”—that’s how much heat from the seal goes beyond the vessel, because too much heat can damage nearby organs like the intestines or bile ducts. We use thermal cameras to map the heat around the sealed area, and we keep that spread under 2mm. If it’s more than that, the cautery is too hot, and we have to adjust the power settings.
For more complex surgical devices, like our robotic-assisted surgical system’s end effectors (the tools that actually touch the patient), there’s “repeatability” and “precision.” Repeatability means if I move the end effector to the same spot 10 times, it lands exactly there, not a millimeter off. Precision is how accurate it is compared to a target point. We test this using a coordinate measuring machine—like a 3D ruler that’s super precise—and move the end effector to 500 random points. If it’s off by more than 0.5mm, that’s a fail. Surgeons use these to cut tiny tumor edges, so a tiny off could mean leaving cancer behind or cutting healthy tissue. We don’t let that happen.
Wait, but it’s not just lab tests or machine tests—real-world data is huge. A lot of our performance measurements come from actual use in hospitals, not just controlled settings. We partner with a network of 25 clinical sites across North America, and they track how our devices perform over 6 months. For example, our diagnostic blood analyzer: we get data on how long it takes to get results (turnaround time, or TAT), how often it needs repairs (mean time between failures, MTBF), and how many times results have to be repeated because they were wrong. Last year, our MTBF was 1,200 runs, which is 200 runs higher than the industry average, and TAT was 8 minutes for basic tests—faster than most competitors, which means doctors get answers quicker for their patients. We also ask the techs who use the machines every day for feedback; if a device is hard to clean, even if it works well, that hurts its performance in the hospital. Clunky gear leads to mistakes, so usability is part of performance too. I always tell my team: a device that works perfect in the lab but is impossible to use in a busy ER is not a good device.
Another thing that’s often overlooked is “safety” tied to performance. For example, our surgical drills have a torque limiter—if it hits bone that’s too hard, it stops spinning so it doesn’t fracture the bone. How do we measure that? We test it on synthetic bone (again, tissue-mimicking) and apply increasing force until the limiter kicks in. We have to make sure it stops at exactly the right torque, not too early (which would make the drill useless) or too late (which would break the bone). For diagnostic devices like MRI contrast agents, we measure how fast they’re absorbed by the body (pharmacokinetics) and how often they cause adverse reactions. We run clinical trials with 500+ patients to track that, and our reaction rate is 0.02%, which is way below the FDA’s 0.1% limit. Because if a device’s performance leads to a harmful reaction, we’ve failed at performance, full stop.
I know this sounds like a lot, but it’s all about trust. Hospitals don’t buy devices just because they’re cheap—they buy them because they know they work. Early in my career, we had a customer tell us that their old ultrasound machine missed a small liver lesion that another machine caught, and that led to a patient’s cancer being caught too late. That stuck with me. So every test we run, every phantom we scan, every artery we seal, we’re not just checking a box—we’re making sure that doesn’t happen to anyone else.
If you’re a hospital administrator, clinic manager, or even a doctor looking for reliable diagnostic and surgical devices, we get it—you need gear that works when you need it, no surprises. We’re always happy to walk you through our testing processes, share our real-world performance data, and answer any questions you have. Don’t hesitate to reach out to chat about how our devices can fit your needs. We’re here to make your job easier and keep your patients safe.
Hospital Supply References:
- International Organization for Standardization (ISO). ISO 14971:2019, Medical Devices — Application of Risk Management to Medical Devices.
- U.S. Food and Drug Administration (FDA). Guidance for Industry: Performance Testing of In Vitro Diagnostic Devices.
- American Institute of Ultrasound in Medicine (AIUM). Standards for Performance Measurement of Diagnostic UlEquipment.
- Society of Laparoendoscopic Surgeons (SLS). Guidelines for Evaluating Surgical Energy Device Performance.
- Clinical Laboratory Standards Institute (CLSI). EP12-A2: User Protocol for Evaluation of Qualitative Test Performance.
Galaxymed Technology Co., Ltd.
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