The GlucoManager Data Management Software (GDMS) is intended for use in home and clinical settings to aid people with diabetes and their health care professionals in the review, analysis and evaluation blood glucose test results to support effective diabetes management. The device is not intended to provide any diagnosis based upon patient results.
Device Story
GlucoManager Data Management Software (GDMS) is a PC-based application designed to assist in diabetes management. It interfaces with the EasyMax N blood glucose meter via an RS232 serial cable to download stored glucose test results. The software allows users and healthcare professionals to view, analyze, and evaluate historical blood glucose data through logbooks, glucose trends, and averages (day/week). It is intended for use in home and clinical settings. The software does not provide medical diagnoses. It serves as a data management tool to support effective diabetes management by facilitating the review of patient-generated glucose data.
Clinical Evidence
No clinical diagnostic data. Bench testing included data transmission accuracy verification (100% success rate across 10 meters) and repeatability testing (100 transmissions of 480 data points with zero errors). A user acceptance study with 106 subjects evaluated design, ease-of-use, and instruction comprehension, confirming the software meets usability requirements.
Technological Characteristics
Software-based data management application. Compatible with Windows 98, Me, 2000, XP, and Vista. Requires Intel Pentium II 300 MHz, 32MB RAM, 20MB disk space, and RS232 serial port. Connectivity via RS232 cable to EasyMax N glucose meter. Complies with IEC 62304 (software life cycle) and ISO 14971 (risk management).
Indications for Use
Indicated for people with diabetes and their healthcare professionals in home and clinical settings to review, analyze, and evaluate blood glucose test results to support diabetes management.
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.
Predicate Devices
LifeScan’s, In Touch Diabetes Management Software (k984527)
Submission Summary (Full Text)
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY INSTRUMENT ONLY TEMPLATE
A. 510(k) Number:
k091229
B. Purpose for Submission:
New submission for an accessory Data Management Software application for glucose meters
C. Manufacturer and Instrument Name:
EPS Bio Technology Corp.
GlucoManager Data Management Software
D. Type of Test or Tests performed:
Glucose data transmission
E. System Descriptions:
1. Device Description:
The GlucoManager Data Management Software enables users the ability to export data from the EasyMax N (k083099) glucose meter to a computer via a RS232 Cable. The GlucoManager Data Management Software enable users in review, analysis and evaluation of historical blood glucose test results to support diabetes management. The device is not intended to provide any diagnosis based upon patient results.
2. Principles of Operation:
Not Applicable
3. Modes of Operation:
Not Applicable
4. Specimen Identification:
Not Applicable
5. Specimen Sampling and Handling:
Not Applicable
6. Calibration:
Not Applicable
7. Quality Control:
Not Applicable
8. Software:
The GlucoManager Data Management Software is compatible with Microsoft® Windows® Vista, XP, Windows 2000, Windows 98, Windows Me operating systems
Hardware specifications:
- Intel(or Compatible) Pentium II 300 MHz processor or higher
- 32 Megabytes (MB) or greater of available random access memory (RAM)
- 20 MB of free hard disk space minimum
- An available Bluetooth module for glucose meter connection
- Compact disk (CD) drive
- Mouse
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- 800 x 600 (or higher) resolution monitor
- EPS RS232 Download Cable
FDA has reviewed the applicant’s Hazard Analysis and software
Documentation: Yes ☐ X or No ☐
F. Regulatory Information:
1. Regulation Section:
21CFR §862.1345 -Glucose test system.
21CFR §-862.2100 - Calculator/data processing module for clinical use.
2. Classification:
Class 2 and 1 respectively
3. Product Code:
NBW, JQP
4. Panel:
Chemistry (75)
G. Intended Use:
1. Indication(s) for Use:
The GlucoManager Data Management Software (GDMS) is intended for use in home and clinical settings to aid people with diabetes and their health care professionals in the review, analysis and evaluation blood glucose test results to support effective diabetes management. The device is not intended to provide any diagnosis based upon patient results.
2. Special Condition for use Statement(s):
Compatible meters: EasyMax N (k083099) meter
H. Substantial Equivalence Information:
1. Predicate device name(s) and 510(k) numbers:
LifeScan’s, In Touch Diabetes Management Software k984527
2. Comparison with Predicate Device:
Similarities
| Element of Comparison | LifeScan IN TOUCH® Diabetes Management Software (k984527) | EPS GlucoManager Data Management Software (GDMS) |
| --- | --- | --- |
| About User | | |
| - Intended Use (S) | IN TOUCH® Diabetes Management Software can help healthcare professionals and people with diabetes monitor blood glucose levels. You and your healthcare professional can use IN TOUCH Software to plan meals, exercise, lifestyle, and medication | The GlucoManager Data Management Software (GDMS) is intended for use in home and clinical settings to aid people with diabetes and their health care professionals in the review, analysis and evaluation blood glucose test results to support |
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| Element of Comparison | LifeScan IN TOUCH® Diabetes Management Software (k984527) | EPS GlucoManager Data Management Software (GDMS) |
| --- | --- | --- |
| | to help control diabetes. IN TOUCH Diabetes Management Software lets you track and review blood glucose test results. This helps you keep your blood glucose levels stable. | effective diabetes management. The device is not intended to provide any diagnosis based upon patient results. |
| - Single User Use | Single and Multi-Patient | Single Patient |
| About Installation | | |
| - Computer System Requirement | * A supported blood glucose meter,
* CD-Rom drive
* 100~200 MB minimum of free hard disk space while installation, 100 MB after installation
* 128 MB minimum of free RAM,
* Video monitor and adapter with at least 800 x 600 pixels and 256 colors,
* Available 9-pin or 25-pin COM or USB port.
* Operating system of Microsoft® Windows® 98, Windows® 2000 Professional, Windows® XP Home and Professional | * EasyMax N Blood Glucose Meter,
* Compact Disk (CD) drive
* 20 MB or greater of free hard disk space,
* 32 MB or greater of free RAM,
* 800 x 600 (or higher) resolution monitor,
* Available 9-pin RS232 serial port.
* Operating system of Microsoft® Windows® Me, Windows 98, Windows® 2000, Windows® XP, Windows® Vista |
| - Installation of Program | Installed using CD | Installed using CD |
| - Language Capabilities | English, Spanish | English |
| - Ability to Uninstall Program | Yes | Yes |
| - Ability to Link to Different Database Versions | Yes | Yes |
| - Technical Support | Yes | Yes, Customer Service Center Toll-Free Number: 1-866-203-2761 |
| About Transmission | | |
| - Auto-detect COM Port | Yes | Yes |
| - Cable Availability | Serial Cable, Cable available separately. | Serial Cable, Cable available separately. |
| - Capable of Uploading Data from Various | Software driver must be uploaded on the device or installed on PC. | Software driver must be uploaded on the device or installed on PC. |
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| Element of Comparison | LifeScan IN TOUCH® Diabetes Management Software (k984527) | EPS GlucoManager Data Management Software (GDMS) |
| --- | --- | --- |
| Devices | | |
| About Operation | | |
| - Ability to Access Program via Icon or Explorer | Yes | Yes |
| - Viewing the User's Manual | Yes, link provided via icon | Yes |
| - Copy Database to Separate File | Yes | Yes |
| - Copy Saved Database Back to Achieve Database | Yes | Yes |
| About Personal Settings | | |
| - Unit of Blood Glucose | Choice of mg/dL or mmol/L | Pre-Set to mg/dL |
| About Report | | |
| - Report Types | Logbook, Line Graph, Average Readings. | Log Book, Glucose Trend, Average Day, Average Week |
| About Modifying Results | | |
| - Downloaded Results Cannot Be Edited or Deleted | Yes | Yes |
| - Ability to Modify Meter Average Results | No | No |
| About Patient and Therapy Management | | |
| - Required Information on Use (Patient) Enter | No required information | No use (patient) enter |
## Differences
| Element of Comparison | LifeScan IN TOUCH® Diabetes Management Software (k984527) | EPS GlucoManager Data Management Software (GDMS) |
| --- | --- | --- |
| About Operation | | |
| - Ability to Clear Meter Results in Memory and Set Mater Clock to a Specific Date and Time | Yes | No |
| - Ability to Email Report | Yes | No |
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| Element of Comparison | LifeScan IN TOUCH® Diabetes Management Software (k984527) | EPS GlucoManager Data Management Software (GDMS) |
| --- | --- | --- |
| from PC Directly from Program | | |
| **About Personal Settings** | | |
| - Ability to Display 12 or 24 Hour Clock Format and Change Date Format | Yes, mm/dd/yy or dd/mm/yy. | No |
| - Ability to Synchronize Meter Clock to PC Upon Download | Yes | No |
| - Ability to Personalize Target Ranges | Yes | No |
| - Ability to Set Default Target Range | Yes | No |
| - Ability to Enter Hypoglycemic Range | Yes | No |
| - Ability to Enter Insulin Regiment | Yes | No |
| - Ability to Set Default Favorite Report | Yes | No |
| - Ability to Default to Manufacturer Settings | Yes | No |
| **About Report** | | |
| - Report Types | Data List, Data Statistics, Within Target, Standard Day, Histogram Chart, 14 Days Summary, Glucose & Insulin | No |
| **About Modifying Results** | | |
| - Manual Entry | Yes | No |
| - Ability to Input Additional Information | Yes, insulin doses, carb data, exercise data, health notes, comments. | No |
| - Ability to Specify Complications Associated with Diabetes by Patient | Yes | No |
| - Specifying / Entering Medications / Insulin | Yes, up to three different medicines, insulin types | No |
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| Element of Comparison | LifeScan IN TOUCH® Diabetes Management Software (k984527) | EPS GlucoManager Data Management Software (GDMS) |
| --- | --- | --- |
| - Deleting Results, Patients and All Accompanying Records | Yes, only manual entry results may be deleted. | No |
| **About Patient and Therapy Management** | | |
| - Search Patient Capability | Yes | No |
| - Diabetes Control | Yes, including insulin list, exercise, carbohydrate | No |
| - Doctor Information and Diabetes Educator Information | Yes, one doctor may be entered. one diabetes educator may be entered. | No |
| - Ability to Limit Result Selection by Last Transfer | Yes, with the exception of the In TOUCH Ultra. | No |
I. Standard/Guidance Document Referenced (if applicable):
IEC 62304:2006 Medical device software – Software life cycle process
ISO 14971:2007, Medical Devices – Application of Risk Management to Medical Devices
J. Performance Characteristics:
Glucose meter specific
1. Analytical Performance:
a. Accuracy: Not Applicable
b. Precision/Reproducibility: Not Applicable
c. Linearity: Not Applicable
d. Carryover: Not Applicable
e. Interfering Substances: Not Applicable
2. Other Supportive Instrument Performance Data Not Covered Above:
To determine the accurate data transmission from the meter to PC, the sponsor demonstrated the performance of the GlucoManager Data Management Software to meet the evaluation protocol and acceptance criteria stated below.
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Each test-set consisted of randomly selecting one of the ten glucose meters and conducting data transmission. The process was repeated until all the glucose meters were tested. All stored test results in glucose meters were recorded before conducting the data transmission. Acceptance criteria were that the transmitted data will not be different from the previous recorded data.
To determine the repeatability of data transmission from the meter to PC, the sponsor demonstrated the performance of the GlucoManager Data Management Software to meet the evaluation protocol and acceptance criteria stated below.
One glucose meter with 480 stored test results transmitted complete data set 100 times. Acceptance criteria were that the transmitted data will not be different from the previous recorded data. This protocol did not have any incorrect data.
A User acceptance Study using 106 subjects was conducted to evaluate the GlucoManager Data Management Software with the following objectives:
- To evaluate design and ease-of-use
- To document participant feedback on the features / functions
- To document Observer feedback on participant performance
- To validate that the user instructions are accurate and easy to follow
- To evaluate participant ratings with respect to features / functions
- To report any discrepancies (bugs/error messages) found during the evaluation
The subjects (Users) were required to have a minimum of basic computer skills and feel comfortable using a Windows-based Operating System.
Conclusions were based on the subjects' ability to demonstrate by usage and evaluation (rating) of features/functions (recorded as responses to 19 feature/function tests), their understanding of the applications of the software, their understanding of how to use the software, their comprehension of the contents of the instructions for use, as well as user assessment of ease-of-use based on a separate questionnaire.
Performance of each User was recorded and evaluated by EPS study administrators (Observers), who are familiar with proper use of GlucoManager Data Management Software. Observers rated each subject's performance using four general questions.
## K. Proposed Labeling:
The labeling is sufficient and it satisfies the requirements of 21 CFR Part 809.10.
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L. Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
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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.
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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.
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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.
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Reading rule for every project: how many summaries do you read in full?
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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.
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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.