The Vignet TeleHealth Manager is an accessory software application that is intended to be used by patients in non-clincal settings (e.g. home), to collect, record and transmit their physiological information to a remote secure server. Stored data is accessible by healthcare professionals for analysis and intervention using standard digital communication technologies and protocols. The Vignet TeleHealth Manager does not measure, interpret or make any decisions on the data that it conveys. It is not intended as a replacement for the oversight of healthcare professionals nor does it provide "real-time" or emergency monitoring.
Device Story
Vignet TeleHealth Manager is a software application for home use; collects physiological data (blood pressure, blood sugar, weight, SpO2, temperature, peak flow, pedometer steps) from cleared external biometric devices; transmits data to secure central server via digital communication protocols; data accessible to healthcare professionals for analysis/intervention and to patients for wellness tracking; device does not interpret data, make clinical decisions, or provide real-time monitoring; benefits include remote data availability for clinical oversight.
Clinical Evidence
Bench testing only. No clinical data provided. Performance verified against requirements and risk analysis (EN14971).
Technological Characteristics
Software-only application; functions as a data transmission conduit. No electrical or electromagnetic components. Connectivity via standard digital communication protocols to remote secure servers. No specific hardware materials or sterilization required.
Indications for Use
Indicated for patients in non-clinical settings (e.g., home) to collect, record, and transmit physiological data from external vital sign devices to a remote secure server for healthcare professional review. Not for real-time or emergency monitoring; not a replacement for professional oversight.
Regulatory Classification
Identification
A radiofrequency physiological signal transmitter and receiver is a device used to condition a physiological signal so that it can be transmitted via radiofrequency from one location to another, e.g., a central monitoring station. The received signal is reconditioned by the device into its original format so that it can be displayed.
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k113446/S002
# 510(k) Summary
(in accordance with 21 CFR 807.92)
JUL 16 2012
#### 1. Applicant Information
Vignet Corporation 1616 Anderson Road McLean, VA 22102
Contact Person: Carlos Gonzalez Tel: 925-209-6605 Fax: 425-940-2417 Email: cgonz1950@gmail.com .
Date Prepared: November 9, 2011
### 2. Device Name and Classification
| Trade Name: | Vignet TeleHealth Manager |
|----------------------|-----------------------------------------------------------------|
| Manufacturer: | Vignet Inc. |
| Classification Name: | Radiofrequency Physiological Signal<br>Transmitter and Receiver |
| Common/Usual Name: | Telemedicine System |
| Regulation Number: | 870.2910 |
| Product Codes: | DRG, |
| Classification: | Class II |
## 3. Predicate Devices
3.1 The Vignet TeleHealth Manager device is substantially equivalent to the following FDA cleared predicate device:
| 510(k) Number: | K092635 |
|---------------------------|-----------------------------------------------------------------------|
| Proprietary Name: | Alcatel-Lucent TeleHealth Manager |
| Classification Name: | Radiofrequency Physiological Signal Transmitter and<br>Receiver |
| Common/Usual Name: | Telemedicine System |
| Regulation Number: | 870.2910 |
| Product Codes: | DRG |
| Subsequent Product Codes: | DXN, NBW |
| Classification: | Class II |
| SE with respect to: | Indications for use, performance and technological<br>characteristics |
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3.2 The Vignet TeleHealth Manager is used with in combination with a variety of cleared external bio-metric measuring devices including those identified in the table that follows. Corresponding Predicate devices are identified in the table that follows:
| Vital Signs<br>Equipment | Physiological<br>information | Vital Signs Equipment<br>Manufacturers/Models (510k) | Predicate TeleHealth<br>Devices (510k) |
|--------------------------|-----------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------|
| Blood<br>pressure | Systolic (mmHg),<br>Diastolic<br>(mmHg), Pulse<br>(BPM) | A&D Engineering, Inc. / Model UA-<br>767PBT (K043217)<br>A&D Engineering, Inc. / Model UA-<br>851-PBT<br>Fora Care, Inc. - Taidoc Technology<br>Corporation / Model TD-3250C<br>(K110044) | Alcatel-Lucent<br>TeleHealth Manager<br>(K092635)<br>Avid Care (K011779)<br>Carematix (K040966) |
| Weight | Weight (lbs. or<br>Kgs.) | A&D Engineering, Inc. / Model UC-<br>321PBT<br>Omron Weight Scale / Model HBF-<br>206IT | Class 1 device does not<br>require predicate |
| Blood<br>glucose | Glucose (mg/dl<br>or mmol/L) | Entra Health Systems, Ltd. / Model<br>MGH-BT1 (K081703)<br>Fora Care, Inc. – Taidoc Technology<br>Corporation / Model TD-3250C<br>(K110044) | Alcatel-Lucent<br>TeleHealth Manager<br>(K092635)<br>Avid Care (K011779)<br>Carematix (K040966) |
| Oxygen<br>Saturation | SpO2 (%), Pulse<br>Rate (BPM) | Nonin Medical, Inc. / Model 9560<br>(K081285) | Avid Care (K011779) |
| Pedometer | Steps<br>(count),<br>Distance<br>(miles), Time<br>(hours) | Omron Healthcare, Inc. / Model HJ-<br>721IT | Class 1 device does not<br>require predicate |
| Temperatu<br>re | Temperature<br>(Fahrenheit or<br>Celsius) | Fora Care, Inc. - Taidoc Technology<br>Corporation / Model IR20b (K090395) | Carematix (K040966) |
| Peak flow | Peak flow<br>(FEV1 and PEF) | Vitalograph Ltd. / Model 4000 series<br>ASMA-1 (K073155) | Avid Care (K011779)<br>Carematix (K040966) |
#### 4. Device Description:
The Vignet TeleHealth Manager is a software system that collects patient physiological data such as blood pressure and blood sugar levels for transmission to a secure central storage server which can be accessed by health care professionals for analysis and intervention using standard digital communication technologies and protocols. This data is also available to the patient for viewing purposes and as an aid in maintaining wellness regimens.
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#### 5. Intended use:
The Vignet TeleHealth Manager is an accessory software application that is intended to be used by patients in non-clincal settings (e.g. home), to collect, record and transmit their physiological information to a remote secure server. Stored data is accessible by healthcare professionals for analysis and intervention using standard digital communication technologies and protocols.
The Vignet TeleHealth Manager does not measure, interpret or make any decisions on the data that it conveys. It is not intended as a replacement for the oversight of healthcare professionals nor does it provide "real-time" or emergency monitoring.
#### 6. Performance (non-clinical) data
The Vignet TeleHealth Manager is a software application, therefore no electrical safety or electromagnetic testing was required. After extensive bench testing to performance requirements and criteria established in accordance with application of EN14971 risk analysis, no new issues of safety, performance, technology or intended use were identified.
Therefore the Vignet TeleHealth Manager is concluded to be substantially equivalent to the identified predicates.
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Image /page/3/Picture/1 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo features a stylized eagle with three tail feathers, representing the department's mission to protect the health of all Americans and provide essential human services. The eagle is encircled by the words "DEPARTMENT OF HEALTH & HUMAN SERVICES USA".
#### Public Health Service
Food and Drug Administration 10903 New Hampshire Avenue Document Control Room -WO66-G609 Silver Spring, MD 20993-0002
JUL 16 2012
Vignet, Inc. c/o Mr. Carlos Gonzalez 7833 Knollbrook Dr. Pleasanton, CA 94588
Re: K113446
Trade Name: Vignet Telehealth Manager Regulation Number: 21.CFR.892.2910 Regulation Name: Radiofrequency Physiological Signal Transmitter and Receiver Regulatory Class: Class II (two) Product Codes: DRG, DXG, DXN, NBW Dated: June 26, 2012 Received: June 28, 2012
Dear Mr. Gonzalez:
We have reviewed your Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
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#### Page 2 -Mr. Gonzalez
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting (reporting of medical device-related adverse events) (21 CFR 803); good manufacturing practice requirements as set forth in the quality systems (OS) regulation (21 CFR Part 820); and if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please go to http://www.fda.gov/AboutFDA/CentersOffices/CDRH0ffices/ucm115809.htm for the Center for Devices and Radiological Health's (CDRH's) Office of Compliance. Also, please note the regulation entitled. "Misbranding by reference to premarket notification" (21CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR. Part 803), please go to
http://www.fda.gov/MedicalDevices/Safety/ReportalProblem/default.htm for the CDRH's Office of Surveillance and Biometrics/Division of Postmarket Surveillance.
You may obtain other general information on your responsibilities under the Act from the Division of Small Manufacturers, International and Consumer Assistance at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address http://www.fda.gov/MedicalDevices/Resourcesfor You/Industry/default.htm.
Sincerely yours,
Bram D. Zuckerman, M.D.
Director Division of Cardiovascular Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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# Indications for Use
510(k) Number (if known):
Device Name: _Vignet Telehealth Manager
Indications for Use:
The Vignet TeleHealth Manager is an accessory software application that is intended to be used by patients in non-clinical settings (e.g. home), to collect, record and transmit their physiological information to a remote secure server. Stored data is accessible by healthcare professionals for analysis and intervention using standard digital communication technologies and protocols. The Vignet Telehealth Manager is intended to be used in combination with a variety of external vital sign devices.
The Vignet TeleHealth Manager does not measure, interpret or make any decisions on the data that it conveys. It is not intended as a replacement for the oversight of healthcare professionals nor does it provide "real-time" or emergency monitoring.
Prescription Use (Part 21 CFR 801 Subpart D)
AND/OR
Over-The-Counter Use (21 CFR 801 Subpart C)
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE OF NEEDED)
Concurrence of CDRH, Office of Device Evaluation (ODE)
(Division Sign-Off)
Division of Cardiovascular Devices
510(k) Number K 113446
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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.