The HomMed Central Station intended use is to retrospectively receive, display, evaluate, analyze and store certain monitored physiological parameters of patients when this data is acquired within healthcare and home environments. The Central Station is the accessory device used by the healthcare professional to display and evaluate the monitored patient data from the HomMed Sentry, Patient Monitor Systems and the healthcare professional is responsible for the interpretation of the monitored data made available by the Central Station. The data received from the Sentry and displayed by the Central Station will be utilized by healthcare professionals, (including physician and/or physician supervised nurses), to retrospectively view patient physiological data. Physiological data, system alerts and patient data analysis will be available to the health care provider from Observer. The Central Station, a retrospective data view and analysis system is not intended for emergency use or real-time monitoring of data received from the HomMed Sentry Patient Monitors.
Device Story
HomMed Central Station is a software-based accessory for HomMed Sentry Patient Monitors; operates on standard PC hardware. Receives, stores, and displays retrospective physiological data (NIBP, pulse, SpO2, temperature, weight) and system alerts. Used by healthcare professionals (physicians/nurses) in clinical or home-care environments to review patient data and perform analysis. Does not provide real-time monitoring or emergency alerts. Enables clinicians to evaluate patient status over time to support clinical decision-making.
Clinical Evidence
No clinical data. Bench testing only. Software validation demonstrated compliance with FDA guidelines and standards, confirming the system performs within specified functional requirements.
Technological Characteristics
Software system operating on standard PC hardware. Functions as an accessory to HomMed Sentry Patient Monitors. Connectivity via data transfer from Sentry monitors. Complies with EN 60601-1 (electrical safety), IEC 601-1-2 (EMC), and ISO 10993-5, 10-11 (biocompatibility).
Indications for Use
Indicated for retrospective display, evaluation, analysis, and storage of physiological parameters (NIBP, pulse rate, SpO2, temperature, weight) for patients in healthcare and home settings. Intended for use by physicians and physician-supervised nurses. Not for emergency use or real-time monitoring.
Regulatory Classification
Identification
A noninvasive blood pressure measurement system is a device that provides a signal from which systolic, diastolic, mean, or any combination of the three pressures can be derived through the use of tranducers placed on the surface of the body.
Predicate Devices
HomMed Observer, Model I
Submission Summary (Full Text)
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# APR 2 2 2002
# 510(k) Summary for HomMed Central Station
| Submitter: | Ho |
|---------------------|---------------------|
| Address: | 19<br>Bro |
| Corporate Contact: | He |
| Telephone: | Ph<br>Fax |
| Submission Contact: | To<br>M<br>20<br>Ho |
mMed. LLC 275 West Capital Drive, Suite 200 ookfield, Wisconsin 53045 rschel Peddicord, President, HomMed, LLC : (262) 783-5440 x: (262) 783-5441
mmie J. Morgan Ph.D., President organ Consultants, Inc. 18 North Durham uston, Texas 77008 Ph: (713) 880-5111 Fax: (713) 880-3494
December 15, 2001
HomMed Central Station
HomMed Observer, Model I
Prepared:
Proprietary Name:
Common/Classification Name: Cardiovascular
Predicate Device:
HomMed Central Station New Device Description:
#### Intended Use:
The HomMed Central Station intended use is to retrospectively receive, display, evaluate, analyze and store certain monitored physiological parameters of patients when this data is acquired within healthcare and home environments. The Central Station is the accessory device used by the healthcare professional to display and evaluate the monitored patient data from the HomMed Sentry, Patient Monitor Systems and the healthcare professional is responsible for the interpretation of the monitored data made available by the Central Station. The data received from the Sentry and displayed by the Central Station will be utilized by healthcare professionals, (including physician and/or physician supervised nurses), to retrospectively view patient physiological data. Physiological data, system alerts and patient data analysis will be available to the health care provider from Observer. The Central Station, a retrospective data view and analysis system is not intended for emergency use or real-time monitoring of data received from the HomMed Sentry Patient Monitors.
#### Performance Data:
The HomMed Central Station is a software system that operates on a commercially available PC system with the minimum performance specifications consistent with typical PC hardware and equipment specifications. The HomMed Central Station is a software system that is an accessory to the HomMed Sentry Patient Monitors. The software validation results demonstrated that the HomMed Central Station System was in compliance with the guidelines and standards referenced in the FDA reviewer's guides and that it performed within its specifications and functional requirements.
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This summary of 510(k) safety and effectiveness information is being submitted in accordance requirements of FDA regarding patient monitors.
## Compliance to Standards and Regulations:
#### Safety
Medical Software Validation Standards
EN 60601-1 Medical Electrical Safety EMC Compliance IEC 601-1-2 ISO 10993-5,10-11 Biocompatibility
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Image /page/2/Picture/1 description: The image is a black and white logo for the U.S. Department of Health & Human Services. The logo features the department's emblem, which is a stylized representation of an eagle. The eagle is composed of three curved lines that suggest its wings and body. The emblem is encircled by the text "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" in a circular arrangement.
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
APR 2 2 2002
HomMed. LLC c/o Tommie J. Morgan, Ph.D. President Morgan Consultants, Inc. 2018 North Durham Houston, TX 22008
Re: K020184
Trade Name: HomMed Central Station Regulation Number: 21 CFR 870.1130 Regulation Name: Non-Invasive Blood Pressure Measurement System Regulatory Class: Class II (two) Product Code: DXN Dated: April 2, 2002 Received: April 3, 2002
Dear Dr. Morgan:
We have reviewed your Section 510(k) premarket notification of intent to market the device we nave roviewed your becaren or (2) the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate for use sualed in the encreated 776, the enactment date of the Medical Device Amendments, or to conniner of they 2011-11-11 in accordance with the provisions of the Federal Food, Drug, de noos that have been require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. The r ou may, arores, missions of the Act include requirements for annual registration, listing of general volurols provisions of tactice, labeling, and prohibitions against misbranding and adulteration.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it If your device to such additional controls. Existing major regulations affecting your device can may or subject to back additions, 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 - Tommie J. Morgan, Ph.D.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean I loase of actived a determination that your device complies with other requirements of the Act that I DT has made a aown regulations administered by other Federal agencies. You must or uny I valuated and states requirements, including, but not limited to: registration and listing (21 CER Part 807); labeling (21 CFR Part 801); good manufacturing practice requirements as set Of It in the quality systems (21 CFR Part 820); and if applicable, the electronic forth in alle qualion control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
This letter will allow you to begin marketing your device as described in your Section 510(k) I mis loter will and w your to organization of substantial equivalence of your device to a legally prematicate device results in a classification for your device and thus, permits your device to proceed to the market.
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801 and additionally 21 CFR Part 809.10 for in vitro diagnostic devices), please contact the Office of additionally 21 OF F F ar 8646. Additionally, for questions on the promotion and advertising of Compinatee at (301) 59 - 1 the Office of Compliance at (301) 594-4639. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21CFR Part 807.97). I og all information on your responsibilities under the Act may be obtained from the Oinor general mironmances, International and Consumer Assistance at its toll-free number (800) 638-2041 or (301) 443-6597 or at its Internet address http://www.fda.gov/cdrh/dsma/dsmamain.html
Sincerely yours,
Donna-Bea Tillman, Ph.D. Acting Director Division of Cardiovascular and Respiratory Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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# 510(k) Number (if known): ____________________________________________________________________________________________________________________________________________________
#### Device Name: HomMed Central Station
### Indications for Use
The HomMed Central Station is intended to be used to retrospectively receive, , display, evaluate, analyze and store certain monitored physiological parameters of patients within healthcare and home environments. The physiologic patient parameters available for retrospective display and evaluation include NIBP, pulse rate, SpO2, temperature and weight. The Central Station will be the device used by the healthcare professional to display and evaluate the monitored patient data, and the healthcare professional is responsible for the interpretation of the monitored data made available by the Observer. The Central Station data will be a utilized by the healthcare professional health including physicians and/or physician supervised nurses. Physiological data, system alerts and patient data analysis will be available to the health care provider from Central Station that may be considered as a retrospective data monitor system.
(PLEASE DO NOT WRITE BELOW THIS LINE - - CONTINUE ON ANOTHER PAGE IF NEEDED)
Concurrence of CDRH, Office of Device Evaluation (ODE)
OR
Prescription Use Only (Per 21 CFR 801.109)
#### Over-the-Counter Use
Division of Cardiovascular & Respiratory Devices
510(k) Number K020184
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.