GEM Premier 5000 (Measured Parameters:Glucose, Lactate and Total Bilirubin)
K160402 · Instrumentation Laboratory CO · CGA · Dec 14, 2016 · Clinical Chemistry
Device Facts
Record ID
K160402
Device Name
GEM Premier 5000 (Measured Parameters:Glucose, Lactate and Total Bilirubin)
Applicant
Instrumentation Laboratory CO
Product Code
CGA · Clinical Chemistry
Decision Date
Dec 14, 2016
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 862.1345
Device Class
Class 2
Attributes
Real-World Evidence, Pediatric
Real-World Evidence
Submission
Device
Sponsor
RWD Sources
RWE Use Summary
Key Tags
K160402 · Dec 14, 2016
GEM Premier 5000 (Measured Parameters:Glucose, Lactate and Total Bilirubin)
Instrumentation Laboratory CO
Clinical patient samples (heparinized whole blood) from external point-of-care (POC) sites and central laboratories
Clinical patient samples were used in method comparison studies to evaluate the performance of the GEM Premier 5000 against predicate devices (GEM Premier 4000 and ABL 837) in real-world clinical settings.
Method Comparison Study; Method comparison study using clinical patient samples
Patients in point-of-care and central laboratory settings (including neonates for tBili); Sample Size: Varies by analyte and mode (e.g., N=489 for glucose, N=488 for lactate, N=53-77 for tBili per predicate comparison); Number of Sites: 3 external POC sites, 2 external central laboratories, and 1 internal Customer Simulation Laboratory
Accuracy and performance equivalence to predicate devices
Indications for Use
The GEM Premier 5000 is a portable critical care system for use by health care professionals to rapidly analyze whole blood samples at the point of health care delivery in a clinical setting and in a central laboratory. The instrument provides quantitative measurements of glucose, lactate and total bilirubin from venous, arterial and capillary heparinized whole blood. These parameters aid in the diagnosis of a patient’s metabolite balance. Glucose (Glu) measurement is used in the diagnosis and treatment of carbohydrate metabolism disturbances including diabetes mellitus, neonatal hypoglycemia, and idiopathic hypoglycemia, and of pancreatic islet cell carcinoma. Lactate (Lac) measurement is used: - to evaluate the acid-base status of patients suspected of having lactic acidosis; - to monitor tissue hypoxia and strenuous physical exertion; - in the diagnosis of hyperlactatemia. Total bilirubin measurement is used to aid in assessing the risk of kernicterus and hyperbilirubinemia in neonates.
Device Story
Portable critical care system; analyzes heparinized whole blood (venous, arterial, capillary) for glucose, lactate, and total bilirubin. System comprises GEM Premier 5000 analyzer and GEM Premier 5000 PAK (disposable cartridge). Analyzer features color touch screen; guides operator through sampling. Cartridge contains sensors, CO-Ox/tBili optical cell, process control solutions, pump tubing, and waste bag. Glucose/lactate measured via amperometric biosensors (enzymatic reaction with oxidase, electrochemical oxidation of H2O2). Total bilirubin measured via spectrophotometry (optical absorbance of hemolyzed sample). Used in point-of-care and central laboratory settings by clinicians. Provides quantitative results to aid metabolite balance diagnosis, hypoxia monitoring, and neonatal bilirubin assessment.
Clinical Evidence
Bench testing only. Precision/reproducibility evaluated per CLSI EP05-A3 across multiple sites and operators (N=120 per level for internal studies; 90 per level for external POC sites). Linearity confirmed per CLSI EP06-A (r2 > 0.995). Method comparison per CLSI EP09-A3 against predicate and reference analyzers (Roche Cobas 6000, Ortho Vitros 5600) showed high correlation (r > 0.995). Interference testing performed per CLSI EP-7A; specific biases identified for cyanocobalamin, cyanomethemoglobin, glycolic acid, hydroxocobalamin, hydroxyurea, methylene blue, and turbidity.
Technological Characteristics
Portable analyzer with color touch screen. Disposable multi-use GEM PAK cartridge (sensors, CO-Ox/tBili optical cell, reagents, waste). Amperometric sensing (glucose/lactate); spectrophotometric sensing (tBili). Connectivity: EEPROM on PAK for calibration/test management. Operating temp: 12-32°C. Software: Linux-based. iQM2 statistical process control system for continuous monitoring.
Indications for Use
Indicated for health care professionals to analyze heparinized whole blood (venous, arterial, capillary) for glucose, lactate, and total bilirubin. Glucose: diagnosis/monitoring of carbohydrate metabolism disturbances (diabetes, hypoglycemia, carcinoma). Lactate: evaluation of acid-base status, hypoxia, hyperlactatemia. Total bilirubin: assessment of kernicterus/hyperbilirubinemia risk in neonates.
Regulatory Classification
Identification
A glucose test system is a device intended to measure glucose quantitatively in blood and other body fluids. Glucose measurements are used in the diagnosis and treatment of carbohydrate metabolism disorders including diabetes mellitus, neonatal hypoglycemia, and idiopathic hypoglycemia, and of pancreatic islet cell carcinoma.
Special Controls
*Classification.* Class II (special controls). The device, when it is solely intended for use as a drink to test glucose tolerance, is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 862.9.
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.