NAVOYCDS is intended to be used with patient data from already cleared patient monitoring devices which measure respiratory rate, systolic blood pressure, and Glasgow Coma Scale (GCS) in adult patients being monitored in a healthcare facility. The device uses an algorithm to calculate a qSOF A score (also known as quickSOFA) which indicates adult patients with suspected infection who are at greater risk for a poor outcome. It uses three criteria, assigning one point for low blood pressure (SBP ≤100 mmHg), high respiratory rate (≥22 breaths per min), or altered mentation (Glasgow coma scale <15). NAVOYCDS is an adjunct to and is not intended to replace vital signs monitoring. NAVOYCDS is intended to provide additional information for use during patient monitoring in a healthcare facility. NAVOYCDS is not intended for making clinical decisions regarding patient treatment or for diagnostic purposes. The device is intended for an adult population.
Device Story
NAVOYCDS is a software-only system for adult patients in healthcare facilities; it ingests respiratory rate, systolic blood pressure, and GCS data via an HL7 FHIR gateway. The device automatically calculates a qSOFA score (0-3 points) based on three clinical criteria: SBP ≤100 mmHg, respiratory rate ≥22 breaths/min, and GCS <15. The system stores data and provides a web-based dashboard displaying current scores and 72-hour history. It is intended as an adjunct to standard monitoring; it does not replace vital signs monitoring, nor is it intended for diagnostic purposes or clinical decision-making. Clinicians use the dashboard to identify patients with suspected infection who may be at higher risk for poor outcomes, providing additional information to support patient monitoring.
Clinical Evidence
No clinical data. Substantial equivalence supported by non-clinical performance testing, including system-level tests, performance tests, hazard analysis, and cybersecurity documentation. Compliance with ISO 14971, IEC 62304, IEC 62366-1, IEC 82304-1, IEC 81001-5-1, and ANSI/AAMI/IEC 60601-1-8 standards.
Indicated for adult patients in healthcare facilities to calculate qSOFA scores using respiratory rate, systolic blood pressure, and Glasgow Coma Scale (GCS) data from cleared monitoring devices to identify patients with suspected infection at risk for poor outcomes.
Regulatory Classification
Identification
A cardiac monitor (including cardiotachometer and rate alarm) is a device used to measure the heart rate from an analog signal produced by an electrocardiograph, vectorcardiograph, or blood pressure monitor. This device may sound an alarm when the heart rate falls outside preset upper and lower limits.
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July 22, 2024
AlgoDx AB Andreas Macura 0A PO Box 559173-7985, Visiting address: Gotgatan 22A Stockholm, 106 31 Sweden
Re: K240558
Trade/Device Name: Navoycds Regulation Number: 21 CFR 870.2300 Regulation Name: Cardiac Monitor (Including Cardiotachometer And Rate Alarm) Regulatory Class: Class II Product Code: PLB Dated: February 28, 2024 Received: February 28, 2024
Dear Andreas Macura:
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 (the 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. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database available at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. 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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Additional information about changes that may require a new premarket notification are provided in the FDA guidance documents entitled "Deciding When to Submit a 510(k) for a Change to an Existing Device" (https://www.fda.gov/media/99812/download) and "Deciding When to Submit a 510(k) for a Software Change to an Existing Device" (https://www.fda.gov/media/99785/download).
Your device is also subject to, among other requirements, the Quality System (QS) regulation (21 CFR Part 820), which includes, but is not limited to, 21 CFR 820.30. Design controls; 21 CFR 820.90. Nonconforming product; and 21 CFR 820.100, Corrective and preventive action. Please note that regardless of whether a change requires premarket review, the QS regulation requires device manufacturers to review and approve changes to device design and production (21 CFR 820.30 and 21 CFR 820.70) and document changes and approvals in the device master record (21 CFR 820.181).
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 of medical device-related adverse events) (21 CFR Part 803) for devices or postmarketing safety reporting (21 CFR Part 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reportingcombination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR Part 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR Parts 1000-1050.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-device-safety/medical-device-reportingmdr-how-report-medical-device-problems.
For comprehensive regulatory information about mediation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medicaldevices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-device-advice-comprehensive-regulatoryassistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,
Robert T. Kazmierski -S
for
LCDR Stephen Browning Assistant Director DHT2A: Division of Cardiac Electrophysiology, Diagnostics
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and Monitoring Devices OHT2: Office of Cardiovascular Devices Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
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# Indications for Use
510(k) Number (if known) K240558
Device Name NAVOYCDS
### Indications for Use (Describe)
NAVOYCDS is intended to be used with patient data from already cleared patient monitoring devices which measure respiratory rate, systolic blood pressure, and Glasgow Coma Scale (GCS) in adult patients being monitored in a healthcare facility. The device uses an algorithm to calculate a qSOF A score (also known as quickSOFA) which indicates adult patients with suspected infection who are at greater risk for a poor outcome. It uses three criteria, assigning one point for low blood pressure (SBP ≤100 mmHg), high respiratory rate (≥22 breaths per min), or altered mentation (Glasgow coma scale <15).
NAVOYCDS is an adjunct to and is not intended to replace vital signs monitoring.
NAVOYCDS is intended to provide additional information for use during patient monitoring in a healthcare facility. NAVOYCDS is not intended for making clinical decisions regarding patient treatment or for diagnostic purposes.
The device is intended for an adult population.
| Type of Use (Select one or both, as applicable) | |
|-------------------------------------------------|---------------------------------------------|
| Prescription Use (Part 21 CFR 801 Subpart D) | Over-The-Counter Use (21 CFR 801 Subpart C) |
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# Contact Details
21 CFR 807.92(a)(1)
| Applicant Name | AlgoDx AB |
|--------------------------------|-------------------------------------------------------------------------------|
| Applicant Address | PO Box 559173-7985, Visiting address: Götgatan 22A<br>Stockholm 106 31 Sweden |
| Applicant Contact<br>Telephone | +46768668842 |
| Applicant Contact | Mr. Andreas Macura |
| Applicant Contact Email | andreas.macura@algodx.com |
# Device Name
| 21CFR 807.92(a)(2) | |
|---------------------|----------------------------------------------------------------|
| Device Trade Name | NAVOYCDS |
| Common Name | Cardiac monitor (including cardiotachometer and rate<br>alarm) |
| Classification Name | Multivariate Vital Signs Index |
| Regulation Number | 870.2300 |
| Product Code(s) | PLB |
# Legally Marketed Predicate Devices
# 21 CFR 807.92(a)(3)
| Predicate # | K230386 |
|----------------------------------------------------------------|-----------|
| Predicate Trade Name<br>(Primary Predicate is listed<br>first) | SpassageQ |
| Product Code | PLB |
# Device Description Summary
# 21 CFR 807.92(a)(4)
NAVOYCDS consists of:
• A gateway module for handling clinical data supporting the HL7 format FHIR.
• A qSOFA score module to calculate patients' qSOFA scores and offer their last 72 hours history data.
· A web-based dashboard to render patients' qSOFA scores in a visually distinctive way depending on their value and enable intended users to view patients with suspected infection.
The NAVOYCDS system works in the following sequence:
- · Receive patient data from the HL7 gateway system.
- · Extract 3 vital signs from the patient data and store them in the database.
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· The Glasgow Coma Scale (GCS) of a patient is stored in the database when a user submits it.
· NAVOYCDS calculates the qSOFA score automatically and stores the result in the database.
· NAVOYCDS delivers 3 vital signs. gSOFA score, GCS to users.
· The qSOFA score is presented in a visually distinctive way depending on the value and enables users to view patients with suspected infection.
Interpretation of qSOFA score:
The qSOFA score (also known as quickSOFA) is a bedside prompt that may identify patients with suspected infection who are at greater risk for a poor outcome. It uses three
criteria, assigning one point for low blood pressure (SBP ≤100 mmHg), high respiratory
rate (≥22 breaths per min), or altered mentation (Glasgow coma scale <15). The score
ranges from 0 to 3 points. The presence of 2 or more qSOFA points near the onset of infection is associated with a greater risk of death. These are outcomes that are more common in infected patients who may be septic than those with uncomplicated infection. Based upon these findings, the Third International Consensus Definitions for Sepsis recommends qSOFA as a simple prompt to identify infected patients who are likely to be septic.
## Intended Use/Indications for Use
21 CFR 807.92(a)(5)
NAVOYCDS is intended to be used with patient data from already cleared patient monitoring devices which measure respiratory rate, systolic blood pressure, and Glasgow Coma Scale (GCS) in adult patients being monitored in a healthcare facility. The device uses an algorithm to calculate a qSOFA score (also known as quickSOFA) which indicates adult patients with suspected infection who are at greater risk for a poor outcome. It uses
three criteria, assigning one point for low blood pressure (SBP ≤100 mmHg), high
respiratory rate (≥22 breaths per min), or altered mentation (Glasgow coma scale <15).
NAVOYCDS is an adjunct to and is not intended to replace vital signs monitoring.
NAVOYCDS is intended to provide additional information for use during patient monitoring in a healthcare facility. NAVOYCDS is not intended for making clinical decisions regarding patient treatment or for diagnostic purposes.
The device is intended for an adult population.
## Indications for Use Comparison
21 CFR 807.92(a)(5) The indications for use are the same.
## Technological Comparison
21 CFR 807.92(a)(6)
The subject device has the same technological characteristics as the predicate device, apart from alarm functionality. Both devices are software only devices, which provide the qSOFA score using vital signs and GCS.
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## Non-Clinical and/or Clinical Tests Summary & Conclusions 21 CFR 807.92(b)
The following performance data were provided in support of the substantial equivalence determination.
Non-clinical Performance Testing involved system-level tests, performance tests and safety testing based on hazard analysis.
A cybersecurity documentation package has been established in accordance with the FDA Guidance Cybersecurity in Medical Devices: Quality System Considerations and Content of Premarket Submissions (September 2023).
In addition to the verification and validation testing activities executed by AlgoDx to establish the performance and functionality of NAVOYCDS, several standards were utilized:
ISO 14971:2019, Medical devices - Application of risk management to medical devices IEC 62304:2006+A1:2015, Medical device software - Software life-cycle processes IEC 62366-1:2015, Medical devices - Application of usability engineering to medical devices
IEC 82304-1 Edition 1.0 2016-10, Health software - Part 1: General requirements for product safety
IEC 81001-5-1 Edition 1.0 2021-12 Health software and health IT systems effectiveness and security - Part 5-1: Security - Activities in the product life cycle
ANSI/AAMI/IEC 60601-1-8:2006/A2:2021, General requirements, tests and guidance for alarm systems in medical electrical equipment and medical electrical systems, Amendment 2
Clinical Performance Testing was not needed in this 510(k) to support the substantial equivalence of the subject device to the predicate device.
The new device does not raise different questions of safety and effectiveness, and the testing performed demonstrated that the device is substantially equivalent to the predicate device.
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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.
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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.
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
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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.