K030431 · Ge Medical Systems Information Technologies · MHX · Feb 26, 2003 · Cardiovascular
Device Facts
Record ID
K030431
Device Name
MODIFICATION TO DASH 3000/4000 PATIENT MONITOR
Applicant
Ge Medical Systems Information Technologies
Product Code
MHX · Cardiovascular
Decision Date
Feb 26, 2003
Decision
SESE
Submission Type
Special
Regulation
21 CFR 870.1025
Device Class
Class 2
Attributes
Pediatric
Indications for Use
The Dash 3000/4000 Patient Monitor is intended for use under the direct supervision of a licensed healthcare practitioner. The intended use of the system is to monitor physiologic parameter data on adult, pediatric and neonatal patients. The Dash is designed as a bedside, portable, and transport monitor that can operate in all professional medical facilities and medical transport modes including but not limited to: emergency department, operating room, post anesthesia recovery, critical care, surgical intensive care, respiratory intensive care, coronary care, medical intensive care, pediatric intensive care, or neonatal intensive care areas located in hospitals, outpatient clinics, freestanding surgical centers, and other alternate care facilities, intra-hospital patient transport, inter-hospital patient transport via ground vehicles (i.e., ambulance, etc.) and fixed and rotary winged aircraft, and pre-hospital emergency response. Physiologic data includes but is not restricted to: electrocardiogram, invasive blood pressure, noninvasive blood pressure, pulse, temperature, cardiac output, respiration, pulse oximetry, carbon dioxide, oxygen, and anesthetic agents as summarized in the operator's manual. The Dash 3000/4000 Patient Monitor is also intended to provide physiologic data over the Unity network to clinical information systems and allow the user to access hospital data at the point-of-care. This information can be displayed, trended, stored, and printed. The Dash 3000/4000 Patient Monitor was developed to interface with non-proprietary third party peripheral devices that support serial data outputs.
Device Story
Dash 3000/4000 Patient Monitor; bedside/portable/transport device. Inputs: ECG, invasive/non-invasive BP, pulse, temp, cardiac output, respiration, SpO2, CO2, O2, anesthetic agents. Processes signals for display, trending, storage, printing, and network transmission via Unity network. Used in hospitals, clinics, and transport (ground/air) by clinicians. Features include arrhythmia detection, ST analysis, 12SL interpretive ECG analysis, cardiac/pulmonary/dose calculations. Interfaces with third-party serial devices. Output allows real-time monitoring, clinical decision support, and data integration into hospital information systems. Benefits: continuous patient status awareness, improved clinical response, and centralized data access.
Clinical Evidence
Bench testing only. No clinical data presented. Compliance with voluntary standards and quality assurance measures (requirements review, code inspections, software/hardware/safety/environmental testing, final validation) used to demonstrate substantial equivalence.
Technological Characteristics
Bedside/portable/transport monitor. Parameters: ECG, BP, SpO2, temp, cardiac output, respiration, CO2, O2, anesthetic agents. Connectivity: Unity network interface, serial data output for third-party peripherals. Software: 12SL interpretive ECG analysis, arrhythmia detection, ST analysis, cardiac/pulmonary/dose calculations. Standards: Complies with voluntary standards for safety and performance.
Indications for Use
Indicated for monitoring physiologic parameters (ECG, BP, pulse, temp, cardiac output, respiration, SpO2, CO2, O2, anesthetic agents) in adult, pediatric, and neonatal patients under direct supervision of licensed healthcare practitioners in clinical and transport settings.
Regulatory Classification
Identification
The arrhythmia detector and alarm device monitors an electrocardiogram and is designed to produce a visible or audible signal or alarm when atrial or ventricular arrhythmia, such as premature contraction or ventricular fibrillation, occurs.
Special Controls
*Classification.* Class II (special controls). The guidance document entitled “Class II Special Controls Guidance Document: Arrhythmia Detector and Alarm” will serve as the special control. See § 870.1 for the availability of this guidance document.
Submission Summary (Full Text)
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FEB 26 2003
## 510(k) Summary of Safety and Effectiveness
| Date: | February 7, 2003 |
|-----------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Submitter: | GE Medical Systems Information Technologies<br>8200 West Tower Avenue<br>Milwaukee, WI 53223 USA |
| Contact Person: | Karen M. Lunde<br>Sr. Regulatory Affairs Specialist<br>GE Medical Systems Information Technologies<br>8200 West Tower Avenue<br>Milwaukee, WI 53223 USA<br>Phone: 414-362-3329<br>Fax: 414-918-8114 |
| Device: | Trade Name: Dash 3000/4000 Patient Monitor |
| Common/Usual Name: | Physiological Patient Monitor |
| Classification Names: | |
| 21 CFR 868.1400 | Analyzer, Gas, Carbon Dioxide, Gaseous-Phase |
| 21 CFR 868.2375 | Breathing Frequency Monitor |
| 21 CFR 870.1025 | Detector and Alarm, Arrhythmia |
| 21 CFR 870.1100 | Monitor, Blood Pressure, Indwelling |
| 21 CFR 870.1130 | Noninvasive Blood Pressure Measurement System |
| 21 CFR 870.1100 | Blood Pressure Alarm |
| 21 CFR 870.1425 | Programmable Diagnostic Computer |
| 21 CFR 870.2340 | Electrocardiograph |
| 21 CFR 870.1435 | Monitor, Cardiac Output, Thermal (Balloon Type Catheter) |
| 21 CFR 880.2910 | Monitor, Temperature (with probe) |
| 21 CFR 870.2300 | Monitor, Cardiac (Incl. Cardiotachometer & rate alarm) |
| 21 CFR 870.2700 | Oximeter, Pulse |
| 21 CFR 870.1025 | Monitor, Physiological, Patient (With Arrhythmia Detection Or Alarms) |
| 21 CFR 870.2770 | Plethysmograph, Impedance |
atient Monito Device Description: The Dash 3000/4000 Patient Monitor is a device that is designed to be used to monitor, display, and print a patient's basic physiological parameters including: electrocardiography (ECG), invasive blood pressure, non-invasive blood pressure, oxygen saturation, temperature, impedance respiration, end-tidal carbon dioxide, oxygen, nitrous oxide and anesthetic agents. Other features include arrhythmia, cardiac output, cardiac and pulmonary calculations, dose calculations. PA wedge. ST analysis, and interpretive 12 lead ECG analysis (12SL).
network available patient data.
Intended Use: The Dash 3000/4000 Patient Monitor is intended for use under the direct supervision of a licensed healthcare practitioner. The intended use of the system is to monitor physiologic parameter data on adult, pediatric and neonatal patients. The Dash is designed as a bedside, portable, and transport monitor that can operate in all professional medical facilities and medical transport modes including but not limited to: emergency department, operating room, post anesthesia recovery, critical care, surgical intensive care, respiratory intensive care, coronary care, medical intensive care, pediatric intensive care, or neonatal intensive care areas located in hospitals, outpatient clinics, freestanding
Additionally, the network interface allows for the display and transfer of
GE Medical Systems Information Technologies Confidential
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K030431
page 2 of 2
surgical centers, and other alternate care facilities, intra-hospital patient transport, inter-hospital patient transport via ground vehicles (i.e., ambulance, etc.) and fixed and rotary winged aircraft, and pre-hospital emergency response.
Physiologic data includes but is not restricted to: electrocardiogram. blood pressure, noninvasive blood pressure, pulse. invasive temperature, cardiac output, respiration, pulse oximetry, carbon dioxide, oxygen, and anesthetic agents as summarized in the operator's manual.
The Dash 3000/4000 Patient Monitor is also intended to provide physiologic data over the Unity network to clinical information systems and allow the user to access hospital data at the point-of-care.
This information can be displayed, trended, stored, and printed.
The Dash 3000/4000 Patient Monitor was developed to interface with non-proprietary third party peripheral devices that support serial data outputs.
Technology: The Dash 3000/4000 Patient Monitor employs the same functional technology as the predicate devices.
- Test Summary: The Dash 3000/4000 Patient Monitor complies with the voluntary standards as detailed in Section 9 of this submission. The following quality assurance measures were applied to the development of the system:
- . Requirements specification review
- Code inspections .
- Software and hardware testing ●
- Safety testing .
- . Environmental testing
- Final validation .
## Conclusion:
The results of these measurements demonstrated that the Dash 3000/4000 Patient Monitor is as safe, as effective, and performs as well as the predicate devices.
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DEPARTMENT OF HEALTH & HUMAN SERVICES
Public Health Service
Image /page/2/Picture/2 description: The image is a black and white logo for the U.S. Department of Health & Human Services. The logo features a stylized image of an eagle with three curved lines representing its wings. The words "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" are arranged in a circular pattern around the eagle.
FEB 2 6 2003
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
GE Medical Systems Information Technologies c/o Ms. Karen M. Lunde Sr. Regulatory Affairs Specialist 8200 West Tower Avenue Milwaukee, WI 53223
Re: K030431
Trade Name: Dash 3000/4000 Patient Monitor Regulation Number: 21 CFR 870.1025 Regulation Name: Arrhythmia Detector and Alarm Regulatory Class: Class III (three) Product Code: MHX Dated: February 7. 2003 Received: February 10, 2003
Dear Ms. Lunde:
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. Iisting of devices, good manufacturing practice. 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 may be subject to such 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 - Ms. Karen M. Lunde
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); 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. This letter will allow you to begin marketing your device as described in your Section 510(k) premarket notification. The FDA finding of substantial equivalence of your device to a legally marketed predicate 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), please contact the Office of Compliance at (301) 594-4646. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21CFR Part 807.97). 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) 443-6597 or at its Internet address http://www.fda.gov/cdrh/dsma/dsmamain.html
Sincerely yours,
N. O'Dell Miller, M.D.
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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Page 1 of 1
510(k) Number (if known):
510(k) filed on February 7, 2003
Dash 3000/4000 Patient Monitor Device Name:
Indications For Use:
The Dash 3000/4000 Patient Monitor is intended for use under the direct supervision of a licensed healthcare practitioner. The intended use of the system is to monitor physiologic parameter data on adult, pediatric and neonatal patients. The Dash is designed as a bedside, portable, and transport monitor that can operate in all professional medical facilities and medical transport modes including but not limited to: emergency department, operating room, post anesthesia recovery, critical care, surgical intensive care, respiratory intensive care, coronary care, medical intensive care, pediatric intensive care, or neonatal intensive care areas located in hospitals, outpatient clinics, freestanding surgical centers, and other alternate care facilities, intra-hospital patient transport, interhospital patient transport via ground vehicles (i.e., ambulance, etc.) and fixed and rotary winged aircraft, and pre-hospital emergency response.
Physiologic data includes but is not restricted to: electrocardiogram, invasive blood pressure, noninvasive blood pressure, pulse, temperature, cardiac output, respiration, pulse oximetry, carbon dioxide, oxygen, and anesthetic agents as summarized in the operator's manual.
The Dash 3000/4000 Patient Monitor is also intended to provide physiologic data over the Unity network to clinical information systems and allow the user to access hospital data at the point-of-care.
This information can be displayed, trended, stored, and printed.
The Dash 3000/4000 Patient Monitor was developed to interface with non-proprietary third party peripheral devices that support serial data outputs.
(PLEASE DO NOT WRITE BELOW THIS LINE - CONTINUE ON ANOTHER PAGE IF NEEDED)
Concurrence of CDRH/Office of Device Evaluation (ODE)
(Division Sign-Off)
Division of Cardiovascular Devices
510(k) Number K05043/
Prescription Use X
(Per 21 CFR 801.109)
OR
Over-The-Counter Use*_*_
(Optional Format 1-2-96)
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.