K063390 · Ind Diagnostic, Inc. · JIL · Mar 1, 2007 · Clinical Chemistry
Device Facts
Record ID
K063390
Device Name
URINE CHEMISTRY ANALYZER UR-50
Applicant
Ind Diagnostic, Inc.
Product Code
JIL · Clinical Chemistry
Decision Date
Mar 1, 2007
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 862.1340
Device Class
Class 2
Attributes
3rd-Party Reviewed
Indications for Use
Urine Chemistry Analyzer UR-50 is for use with the IND Urinalysis Reagent Strips for the determination of glucose, bilirubin, ketone, blood, protein, urobilinogen, nitrite, leukocytes, pH, and specific gravity in urine. It can be used for testing in the clinical laboratory setting. For professional use only. These measurements are useful in the evaluation of renal, urinary, and metabolic disorders.
Device Story
Urine Chemistry Analyzer UR-50 is an automated diagnostic instrument designed for use in clinical laboratories by professional personnel. The device processes IND Urinalysis Reagent Strips to measure multiple analytes in urine samples, including glucose, bilirubin, ketone, blood, protein, urobilinogen, nitrite, leukocytes, pH, and specific gravity. The system utilizes optical sensing technology to analyze colorimetric changes on the reagent strips. The analyzer provides quantitative or semi-quantitative results, which are displayed to the clinician to assist in the diagnosis and management of renal, urinary, and metabolic conditions. The device automates the reading process, reducing subjectivity compared to visual interpretation of reagent strips.
Clinical Evidence
No clinical data provided; bench testing only.
Technological Characteristics
Benchtop reflectance spectrophotometer. Sensing principle: color sampling via photo sensor chip converting spectrums to frequencies. Dimensions: 230 x 180 x 110 mm. Weight: 2.5 lbs. Power: electrical. Connectivity: internal printer, optional data transmission. Calibration: automated self-calibration of optics at power-on. Software: embedded firmware.
Indications for Use
Indicated for professional use in clinical laboratory settings for the semi-quantitative determination of glucose, bilirubin, ketone, blood, protein, urobilinogen, nitrite, leukocytes, pH, and specific gravity in urine to evaluate renal, urinary, and metabolic disorders.
Regulatory Classification
Identification
A urinary glucose (nonquantitative) test system is a device intended to measure glucosuria (glucose in urine). Urinary glucose (nonquantitative) measurements are used in the diagnosis and treatment of carbohydrate metabolism disorders including diabetes mellitus, hypoglycemia, and hyperglycemia.
Submission Summary (Full Text)
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# REVIEW MEMORANDUM
ASSAY AND INSTRUMENT COMBINATION TEMPLATE
A. 510(k) Number:
k063390
B. Purpose for Submission:
New submission for the Urine Chemistry Analyzer UR-50 for use with IND Diagnostic’s previously cleared Urinalysis Reagent Strips (k993850). A name change to “IND Urinalysis Reagent Strips” and an updated indication for use for IND Urinalysis Reagent Strips (k993850), to include “may be read visually or instrumentally by the IND UR-50 reader”.
C. Measurand:
Glucose, Blood, Leukocytes, Specific Gravity, pH, Nitrite, Protein, Ketones, Urobilinogen and Bilirubin in urine
D. Type of Test:
Qualitative/Semi-Quantitative
E. Applicant:
IND Diagnostic Inc.
F. Proprietary and Established Names:
Urine Chemistry Analyzer UR-50, Model 900-UR50; reagent strips are known as IND Urinalysis Reagent Strips.
G. Regulatory Information:
1. Regulation section:
21 CFR § 862.1340 – Urinary Glucose (nonquantitative) test system
21 CFR § 864.6550 – Occult Blood Test
21 CFR § 864.7675 – Leukocyte peroxidase test
21 CFR § 862.2800 – Refractometer for clinical use
21 CFR § 862.1550 – Urinary pH (nonquantitative) test system
21 CFR § 862.1510 – Nitrite (nonquantitative) test system
21 CFR § 862.1643 – Urinary protein or albumin (nonquantitative) test system
21 CFR § 862.1435 – Ketones (nonquantitative) test system
21 CFR § 862.1785 – Urinary urobilinogen (nonquantitative) test system
21 CFR § 862.1115 – Urinary bilirubin and its conjugates (nonquantitative) test system
21 CFR § 862.2900 – Automated urinalysis system
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2. Classification: Class II
3. Product Code:
JIL Enzymatic Method, Glucose (Urinary, Non-quantitative)
JIO Blood, Occult, Colorimetric, in urine
LJX Test, Urine Leukocyte
JRE Refractometer for Clinical Use
CEN Dye-Indicator, pH (urinary, non-quantitative)
JMT Diazo (colorimetric), Nitrite (urinary, non-quantitative)
JIR Indicator method, Protein or Albumin (urinary, non-quantitative)
JIN Nitroprusside, Ketones (urinary, non-quantitative)
CDM Diazonium colorimetry, Urobilinogen (urinary, non-quantitative)
JJB Azo-Dyes, colorimetric, Bilirubin & its conjugates (urinary non-quantitative)
KQO Automated Urinalysis System
4. Panel: Chemistry (75)
H. Intended Use:
1. Intended use(s): See indications for use below.
2. Indication(s) for use: Urine Chemistry Analyzer UR-50 (UR-50) is for use with IND Urinalysis Reagent Strips for the determination of glucose, bilirubin, ketone, blood, protein, urobilinogen, nitrite, leukocytes, pH, and specific gravity in urine. It can be used for testing in the clinical laboratory setting. For professional use only. These measurements are useful in the evaluation of renal, urinary, and metabolic disorders.
3. Special Conditions for use statement(s): For professional use only
4. Special instrument requirements: IND Urine Chemistry Analyzer UR-50
I. Device Description: The Urine Chemistry Analyzer UR-50 (UR-50) is a benchtop instrument, intended for use with the sponsor's cleared test strips (k993850). The UR-50 reports results semi-quantitatively on up to 10 analytes. The UR-50 contains the electronics, sample transport mechanism, display screen and printer.
Test strips are manually dipped into the urine sample and placed on the strip platform. The strip is transported into the instrument where readings of each analyte are taken at timed intervals. Readings are converted to concentrations
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which are displayed to the operator and printed by the on-board printer. There are options to print results or to transmit them to a computer system. The sponsor does not supply the necessary cables or software to accomplish this transfer and does not plan to promote this feature.
J. Substantial Equivalence Information:
1. Predicate device name(s):
Bayer Clinitek 50 Urine Chemistry Analyzer; Bayer Multistix and Urinalysis Reagent Strips
2. Predicate 510(k) number(s):
Clinitek Analyzer k960546; Bayer Multistix k905396 and Urinalysis Reagent Strips k993850
3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Intended Use | Used in the determination of glucose, blood, leukocytes, specific gravity, pH, nitrite, protein, ketones, urobilinogen, and bilirubin in urine. | Same |
| Basic Operating Principle | Reflectance Photometry | Same |
| Testing Options | Single sample | Same |
| Test Steps | Dip and place urine strip onto test table/platform | Same |
| Printer | Internal or External | Same |
| Differences | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Output Results | Normal System (combination of words and number values) | +/- System |
| Environmental Requirements | 5 – 40° C. Relative Humidity ≤ 80% | 18 - 30° C. Relative Humidity 20 - 85% |
| Dimension | 230 x 180 x 110 mm | 200 x 130 x 130 mm |
| Weight | 2.5 lbs. | 3.0 lbs. |
K. Standard/Guidance Document Referenced (if applicable):
None were referenced in the submission.
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L. Test Principle:
The Urine Chemistry Analyzer UR-50 is a portable reflectance spectrophotometer that combines color sampling technology with an advanced photo sensor chip that translates detected color spectrums into frequencies. The frequencies are converted into clinically useful results.
M. Performance Characteristics (if/when applicable):
1. Analytical performance:
a. Precision/Reproducibility:
IND In-house reproducibility studies used three different UR-50 analyzers and three different lot numbers of IND Urinalysis Reagent strips. BioRad urine control materials levels 1 and 2 were used as samples. Two trained technicians each tested 15 test strips of each lot number of strips on each analyzer (90 tests/analyte). Results were pooled. Note the sponsor considered pH changes of ±0.5 and Specific Gravity ± 1 level (0.005) in agreement due to the variance in the parameters.
Level 1
| Analyte | In Agreement | Not In Agreement | % Agreement |
| --- | --- | --- | --- |
| Glucose | 90 | 0 | 100% |
| Bilirubin | 90 | 0 | 100% |
| Ketone | 90 | 0 | 100% |
| Specific Gravity | 90 within range of ± 0.005 | | 100% |
| Blood | 90 | 0 | 100% |
| pH | 90 within range of ± 0.5 | | 100% |
| Protein | 90 | 0 | 100% |
| Urobilinogen | 90 | 0 | 100% |
| Nitrite | 90 | 0 | 100% |
| Leukocytes | 90 | 0 | 100% |
Level 2
| Analyte | In Agreement | Not In Agreement | % Agreement |
| --- | --- | --- | --- |
| Glucose (500 mg/dL) | 90 | 0 | 100% |
| Bilirubin (Large) | 90 | 0 | 100% |
| Ketone (40 mg/dL) | 77 | 13 | 86% |
| Specific Gravity | 90 within range of ± 0.005 | | 100% |
| Blood | 83 | 7 | 92% |
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Note: All results not in $100\%$ agreement (ketones and blood) are within $\pm$ color block difference.
In addition to IND in-house reproducibility studies, testing was performed by a trained medical technician at a medical site using BioRad urine control materials, one UR-50 analyzer and one lot of IND Urinalysis Reagent test strips.
Level 1
| Analyte | In Agreement | Not In Agreement | % Agreement |
| --- | --- | --- | --- |
| Glucose | 20 | 0 | 100% |
| Bilirubin | 20 | 0 | 100% |
| Ketone | 20 | 0 | 100% |
| Specific Gravity | 18 of 20 samples in range of ± 0.005 | | 90% |
| Blood | 20 | 0 | 100% |
| pH | 20 within range of ± 0.5 | | 100% |
| Protein | 20 | 0 | 100% |
| Urobilinogen | 20 | 0 | 100% |
| Nitrite | 20 | 0 | 100% |
| Leukocytes | 20 | 0 | 100% |
Level 2
| Analyte | In Agreement | Not In Agreement | % Agreement |
| --- | --- | --- | --- |
| Glucose (500 mg/dL) | 19 | 1 | 95% |
| Bilirubin (Large) | 20 | 0 | 100% |
| Ketone (15-40 mg/dL) | 20 within range +/- 1 color block | | 100% |
| Specific Gravity (1.020 – | 20 within range of ± 0.005 | | 100% |
| 1.020 – | 1.020 – | | 100% |
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| 1.025) | | | |
| --- | --- | --- | --- |
| Blood (Mod – Large) | 20 within range +/- 1 color block | | 100% |
| pH (7.0 +/- 0.5) | 20 within range of ± 0.005 | | 100% |
| Protein (≥300 mg/dL) | 20 within range +/- 1 color block | | 100% |
| Urobilinogen (8.0 EU/dL) | 20 | 0 | 100% |
| Nitrite | 20 | 0 | 100% |
| Leukocytes (Large) | 20 | 0 | 100% |
b. Linearity/assay reportable range:
IND in-house linearity studies were performed by spiking commercially acquired artificial urine to achieve various concentrations of the various analytes. Testing was done on two instruments using two different lot numbers of test strips, four tests per strip lot on each instrument at each level.
**Glucose**
| | Applied Concentration, mg/dL | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Concentration Reported by Analyzer with Strip, mg/dL | | 0 | 50 | 100 | 250 | 500 | 1000 |
| | 1000 | | | | | 1 | 16 |
| | 500 | | | | | 14 | |
| | 250 | | | | 13 | 1 | |
| | 100 | | | 14 | 3 | | |
| | Negative | 16 | 16 | 2 | | | |
| | Total # of Samples at Concentration | 16 | 16 | 16 | 16 | 16 | 16 |
**Bilirubin**
| | Applied Concentration, mg/dL | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Concentration Reported by Analyzer with Strip, mg/dL | | 0 | 0.25 | 0.50 | 1 | 2 |
| | Large | | | | 2 | 16 |
| | Moderate | | | 13 | 14 | |
| | Small | | 12 | 3 | 1 | |
| | Negative | 16 | 4 | | | |
| | Total # of Samples at Concentration | 16 | 16 | 16 | 16 | 16 |
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# Ketones
| | Applied Concentration, mg/dL | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Concentration Reported by Analyzer with Strip, mg/dL | | 0 | 2 | 5 | 15 | 40 | 80 |
| | ≥ 80 | | | | | | 14 |
| | 40 | | | | | 15 | 2 |
| | 15 | | | | 14 | 1 | |
| | Trace | | 1 | 12 | 2 | | |
| | Negative | 16 | 15 | 4 | | | |
| | Total # of Samples at Concentration | 16 | 16 | 16 | 16 | 16 | 16 |
# Specific Gravity
| | Applied Concentration, | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Concentration Reported by Analyzer with Strip | | 1.000 | 1.005 | 1.010 | 1.015 | 1.020 | 1.025 | 1.030 |
| | 1.030 | | | | | | | 16 |
| | 1.025 | | | | | 1 | 14 | |
| | 1.020 | | | | 2 | 12 | 2 | |
| | 1.015 | | | 2 | 13 | 3 | | |
| | 1.010 | | | 13 | 1 | | | |
| | ≤1.005 | 16 | 16 | 1 | | | | |
| | Total # of Samples at Concentration | 16 | 16 | 16 | 16 | 16 | 16 | 16 |
# Occult Blood
| | Applied Concentration, mg/dL | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Concentration Reported by Analyzer with Strip, mg/dL | | 0 | 0.03 | 0.06 | 0.15 | 0.75 |
| | Large | | | | | 16 |
| | Moderate | | | | 13 | |
| | Small | | | 13 | 3 | |
| | Trace | | 6 | 3 | | |
| | Negative | 16 | 10 | | | |
| | Total # of Samples at Concentration | 16 | 16 | 16 | 16 | 16 |
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pH
| | Applied Concentration | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Concentration Reported by Analyzer with Strip | | 5.0 | 6.0 | 6.5 | 7.0 | 7.5 | 8.0 | 8.5 | 9.0 |
| | ≥8.5 | | | | | | 2 | 14 | 16 |
| | 8.0 | | | | | 1 | 14 | 2 | |
| | 7.5 | | | | 2 | 14 | | | |
| | 7.0 | | | 4 | 13 | 1 | | | |
| | 6.5 | | 4 | 10 | 1 | | | | |
| | 6.0 | | 12 | 2 | | | | | |
| | 5.5 | | | | | | | | |
| | 5.0 | 16 | | | | | | | |
| | Total # of Samples at Concentration | 16 | 16 | 16 | 16 | 16 | 16 | 16 | 16 |
Protein
| | Applied Concentration, mg/dL | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Concentration Reported by Analyzer with Strip, mg/dL | | 0 | 7 | 15 | 30 | 100 | 300 |
| | 300 | | | | | 1 | 16 |
| | 100 | | | | | 15 | |
| | 30 | | | 1 | 13 | | |
| | Trace | | 1 | 14 | 3 | | |
| | Negative | 16 | 15 | 1 | | | |
| | Total # of Samples at Concentration | 16 | 16 | 16 | 16 | 16 | 16 |
Nitrite
| | Applied Concentration, mg/dL | | | | |
| --- | --- | --- | --- | --- | --- |
| Concentration Reported by Analyzer with Strip, mg/dL | | 0 | 0.02 | 0.05 | 0.3 |
| | Positive | | 2 | 12 | 16 |
| | Negative | 16 | 14 | 4 | |
| | Total # of Samples at Concentration | 16 | 16 | 16 | 16 |
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Leukocytes
| | Applied Concentration, mg/dL | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Concentration Reported by Analyzer with Strip, mg/dL | | 0 | 2 | 5 | 15 | 75 | 200 |
| | Large | | | | | | 16 |
| | Moderate | | | | | 13 | |
| | Small | | | | 13 | 3 | |
| | Trace | | 2 | 9 | 3 | | |
| | Negative | 16 | 14 | 6 | | | |
| | Total # of Samples at Concentration | 16 | 16 | 16 | 16 | 16 | 16 |
Urobilinogen
| | Applied Concentration, mg/dL | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Concentration Reported by Analyzer with Strip, mg/dL | | 0.2 | 1.0 | 2.0 | 4.0 | 8.0 |
| | ≥ 8.0 | | | | 2 | 15 |
| | 4.0 | | | | 13 | 1 |
| | 2.0 | | | 15 | 1 | |
| | 1.0 | | 16 | 1 | | |
| | 0.2 | 16 | | | | |
| | Total # of Samples at Concentration | 16 | 16 | 16 | 16 | 16 |
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
Same as k993850
d. Detection limit:
See assay reportable range above.
e. Analytical specificity:
Same as k993850
f. Assay cut-off:
Not applicable
2. Comparison studies:
a. Method comparison with predicate device:
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Patient and spiked samples were tested in hospital settings on both the UR-50 analyzer and Bayer Clinitek-50 using the respective reagent strips for each system. For this testing, pH changes of 0.5 and Specific Gravity ± 1 level (0.005) are considered in agreement due to the variance in the parameters.
Note that the IND UR-50 analyzer would measure and result any pH over 8.5 as ≥ 8.5, no samples were found or contrived for these pH levels.
## Glucose
| 1000 | | | | 2 | 6 |
| --- | --- | --- | --- | --- | --- |
| 500 | | | | 9 | 2 |
| 250 | | 1 | 14 | 2 | |
| 100 | 24 | 9 | 1 | | |
| Negative | 133 | 2 | | | |
| Predicate | Negative | Trace | 1+ | 2+ | 3+ |
## Bilirubin
| Large | | | | 6 |
| --- | --- | --- | --- | --- |
| Moderate | | | 5 | 2 |
| Small | 1 | 7 | 2 | 2 |
| Negative | 177 | 10 | | |
| Predicate | Negative | 1+ | 2+ | 3+ |
## Ketones
| ≥ 80 | | | | 1 | 9 |
| --- | --- | --- | --- | --- | --- |
| 40 | | | 1 | 15 | 3 |
| 15 | | | 7 | 2 | |
| Trace | 7 | 22 | 8 | | |
| Negative | 122 | 9 | 1 | | |
| Predicate | Negative | trace | 1+ | 2+ | 3+ |
## Specific Gravity
| 1.030 | | | | 2 | 8 | 27 |
| --- | --- | --- | --- | --- | --- | --- |
| 1.025 | | | 1 | 12 | 1 | 13 |
| 1.020 | | 1 | 16 | 9 | 4 | |
| 1.015 | 2 | 16 | 13 | 11 | | |
| 1.010 | 18 | 12 | 5 | | | |
| 1.005 | | | | | | |
| Pred | 1.005 | 1.010 | 1.015 | 1.020 | 1.025 | 1.030 |
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# Occult Blood
| Large | | | | | 4 | 27 |
| --- | --- | --- | --- | --- | --- | --- |
| Moderate | | | | | 10 | 4 |
| Small | | | 3 | 6 | 1 | |
| Trace | 7 | | 21 | 2 | 1 | |
| Negative | 94 | 2 | 8 | | 1 | |
| Predicate | Negative | Trace lyse | Trace intact | 1+ | 2+ | 3+ |
## pH
| 9.0 | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 8.5 | | | | | | | 1 | | |
| 8.0 | | | | | | 4 | 4 | | |
| 7.5 | | | | | | 2 | | | |
| 7.0 | | | | 3 | 23 | 11 | 3 | | |
| 6.5 | 4 | 1 | | 4 | 12 | | | | |
| 6.0 | | 9 | 22 | 15 | | | | | |
| 5.5 | 35 | 18 | 21 | 1 | | | | | |
| 5.0 | 17 | 1 | | | | | | | |
| Predicate | 5.0 | 5.5 | 6.0 | 6.5 | 7.0 | 7.5 | 8.0 | 8.5 | ≥9.0 |
## Protein
| 300 | | | | | 9 |
| --- | --- | --- | --- | --- | --- |
| 100 | | | 1 | 12 | 5 |
| 30 | 1 | 10 | 24 | 17 | |
| Trace | 14 | 5 | 6 | | |
| Negative | 89 | 7 | 7 | | |
| Predicate | Negative | Trace | 1+ | 2+ | 3+ |
## Nitrite
| Positive | 26 | 22 |
| --- | --- | --- |
| Negative | 145 | 0 |
| Predicate | Negative | Positive |
## Leukocytes
| Large | | | | 1 | 6 |
| --- | --- | --- | --- | --- | --- |
| Moderate | | | 5 | 5 | 3 |
| Small | 1 | 2 | 8 | 5 | |
| Trace | 24 | 13 | 9 | | |
| Negative | 124 | 3 | | | |
| Predicate | Negative | Trace | 1+ | 2+ | 3+ |
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Urobilinogen
| ≥ 8.0 | | | | | | 7 |
| --- | --- | --- | --- | --- | --- | --- |
| 4.0 | | | | | 7 | |
| 2.0 | | 1 | | 5 | | |
| 1.0 | | 5 | 8 | 2 | | |
| 0.2 | | 170 | 9 | | | |
| Negative | | | | | | |
| Predicate | Negative | 0.2 | 1.0 | 2.0 | 4.0 | ≥ 8.0 |
b. Matrix comparison:
Not applicable
3. Clinical studies:
a. Clinical sensitivity:
Not Applicable
b. Clinical specificity:
Not Applicable
c. Other clinical supportive data (when a. and b. are not applicable):
Not Applicable
4. Clinical cut-off:
Not Applicable
5. Expected Values/Reference range:
Same as k993850
N. Instrument Name:
Urine Chemistry Analyzer UR-50, Model 900-UR50
O. System Descriptions:
1. Modes of Operation:
Single sample application
2. Software:
FDA has reviewed applicant’s Hazard Analysis and software development processes for this line of product types:
Yes ☐ X ☐ or No ☐
The following sections are present in the submission and they appear adequate based on the level of concern and the information provided in Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices issued May 11, 2005.
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Level of Concern – The sponsor has classified their device as a Moderate Level of Concern.
Software Description – An overview of the features controlled by the software and the software operating environment is present.
Hazard Analysis – A summary of the hardware and software hazards, severity assessments and mitigations are present. The cause(s) of hazards, methods of control and corrective measures taken are listed.
Software Requirements Specification (SRS) – Documents listing functional requirements for the software are provided.
Architecture Design Chart – Depictions of functional units and software modules are provided in the form of flow charts.
Software Design Specification (SDS) – Software design specification documents are provided.
Traceability Analysis – Traceability among requirements, specifications, identified hazards and mitigations are provided.
Software Development Environment – A summary of the software life cycle development plan is provided.
Verification and Validation Documentation -- Functional test plan, pass/fail criteria and results are present.
Revision Level History – The sponsor has provided the revision log.
Unresolved Anomalies – A list of unresolved software anomalies. The sponsor indicated that none were unresolved.
3. Specimen Identification:
Manual (hand written)
4. Specimen Sampling and Handling:
Manually dip and place reagent strip onto strip platform
5. Calibration:
No user calibration is required. When the system is powered on, the instrument does a self-calibration of the optics.
6. Quality Control:
The sponsor recommends the following to their users:
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1. Positive and negative control solutions should be tested on a regular basis.
2. Controls should be prepared according to the product instructions and tested like other samples.
3. Testing can be done at the beginning of the day, when a new lot is used and when the user has changed.
4. The user should run controls when there is a discrepancy between the printed results and the visual results or when there is doubt about the test results.
5. Users should always follow the appropriate federal, state and local guidelines concerning the use of external quality control materials discussed above.
P. Other supportive Instrument Performance Characteristics Data Not Covered in the “Performance Characteristics” Section above:
Q. Proposed Labeling:
The labeling is sufficient and it satisfies the requirements of 21 CFR Part 809.10. The manual includes operating instructions, test interferences, sample handling instructions and an explanation of common problems.
R. Conclusion:
The data submitted by IND Diagnostic supports a Substantial Equivalence (SE) determination to other Automated Urinalysis System regulated under 21 CFR § 862.2900 – Automated urinalysis system. The data also supports the change in indicated use for Urinalysis Reagent Strip (k993850).
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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.