K231041 · Visus Health IT GmbH · LLZ · Jul 14, 2023 · Radiology
Device Facts
Record ID
K231041
Device Name
JiveX (Model Number / Release: 5.4)
Applicant
Visus Health IT GmbH
Product Code
LLZ · Radiology
Decision Date
Jul 14, 2023
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 892.2050
Device Class
Class 2
Attributes
Software as a Medical Device
Indications for Use
JiveX is a software only Picture Archiving and Communication System intended to display, process, read, report, communicate, distribute, store, and archive medical data which is available as DICOM or HL7 data, including mammographic images, and bio signals. JiveX also converts case related non-image documents, archives them as DICOM data and serves as a vendor neutral archive. It supports the physician in diagnosis. For primary image diagnosis in Mammography only uncompressed images must be used. Typical users of this system are trained professionals, including but not limited to physicians, radioal technicians, and assistants. Note: Web-based image distribution and mobile device display of mammographic images are not intended for diagnostic purposes. For users in the United States of America: Mobile device display is not intended for diagnostic purposes.
Device Story
JiveX 5.4 is a software-only Picture Archiving and Communication System (PACS) acting as a vendor-neutral archive. It ingests medical data (DICOM, HL7, non-image documents) via communication servers; stores data on local/networked storage; and renders images for fat-client workstations or web-based clients. Physicians use fat clients for primary diagnosis, including mammography and bio-signal review. Web clients are for distribution and non-diagnostic viewing. The system provides image processing tools (zoom, pan, rotate, measurements, filters, 3D/4D visualization, SUV calculation). It supports clinical workflows through RIS/HIS integration, hanging protocols, and reporting. By centralizing medical data, it facilitates efficient diagnostic review and clinical decision-making for healthcare providers.
Clinical Evidence
No clinical data. Bench testing only. Verification and validation included requirements review, software design/code review, automated unit/component/UI testing, off-the-shelf software validation, formal manual test runs for new/modified functionality, impact testing, and extensive regression testing.
Technological Characteristics
Software-only (SaMD). Server: Java, Windows OS. Fat Clients: Java, Windows OS. Web Clients: JavaScript, TypeScript, HTML, CSS. Connectivity: TCP/IP, DICOM, HL7, IHE XDS, WADO-URI. Supports virtualization (VMware, Citrix). Image processing: interpolation (Lanczos, b-spline), filters (CLAHE), 3D/4D rendering, and measurements.
Indications for Use
Indicated for trained professionals (physicians, radiologists, nurses, technicians, assistants) to display, process, read, report, communicate, store, and archive medical data (DICOM/HL7, mammography, bio-signals). Not for diagnostic use via web-based distribution or mobile devices for mammography.
Regulatory Classification
Identification
A medical image management and processing system is a device that provides one or more capabilities relating to the review and digital processing of medical images for the purposes of interpretation by a trained practitioner of disease detection, diagnosis, or patient management. The software components may provide advanced or complex image processing functions for image manipulation, enhancement, or quantification that are intended for use in the interpretation and analysis of medical images. Advanced image manipulation functions may include image segmentation, multimodality image registration, or 3D visualization. Complex quantitative functions may include semi-automated measurements or time-series measurements.
Special Controls
*Classification.* Class II (special controls; voluntary standards—Digital Imaging and Communications in Medicine (DICOM) Std., Joint Photographic Experts Group (JPEG) Std., Society of Motion Picture and Television Engineers (SMPTE) Test Pattern).
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VISUS Health IT GmbH Axel Schreiber Vice President Process & Agile Services Gesundheitscampus-Sued 15 Bochum, 44801 Germany
July 14, 2023
#### Re: K231041
Trade/Device Name: JiveX (Model Number / Release: 5.4) Regulation Number: 21 CFR 892.2050 Regulation Name: Medical Image Management And Processing System Regulatory Class: Class II Product Code: LLZ Dated: June 9, 2023 Received: June 9, 2023
Dear Axel Schreiber:
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. 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 located 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.
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 803) for
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devices or postmarketing safety reporting (21 CFR 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 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 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 medical devices and radiation-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.
Jessica Lamb
Jessica Lamb, Ph.D. Assistant Director Imaging Software Team DHT 8B: Division of Radiological Imaging Devices and Electronic Products OHT 8: Office of Radiological Health 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) K231041
Device Name JiveX, Release 5.4
#### Indications for Use (Describe)
JiveX is a software only Picture Archiving and Communication System intended to display, process, read, report, communicate, distribute, store, and archive medical data which is available as DICOM or HL7 data, including mammographic images, and bio signals. JiveX also converts case related non-image documents, archives them as DICOM data and serves as a vendor neutral archive.
It supports the physician in diagnosis.
For primary image diagnosis in Mammography only uncompressed images must be used.
Typical users of this system are trained professionals, including but not limited to physicians, radioal technicians, and assistants.
Note: Web-based image distribution and mobile device display of mammographic images are not intended for diagnostic purposes.
For users in the United States of America: Mobile device display is not intended for diagnostic purposes.
| Type of Use (Select one or both, as applicable) | |
|-------------------------------------------------|--|
|-------------------------------------------------|--|
X Prescription Use (Part 21 CFR 801 Subpart D)
Over-The-Counter Use (21 CFR 801 Subpart C)
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# Section 5 "510(k) Summary"
of the Traditional 510(k) Premarket Notification Submission for the medical device JiveX, release 5.4
This summary of 510(k) safety and effectiveness information is being submitted in accordance with the requirements of SMDA 1990 and 21 CFR §807.92
### Submitter
| Manufacturer (Owner) | VISUS Health IT GmbH,<br>Gesundheitscampus 15<br>44801 Bochum, Germany |
|----------------------|-------------------------------------------------------------------------------------------------------------------------------|
| Registration Number | 3007667119 |
| Contact Person | Axel Schreiber, MD, PhD<br>Vice President Process & Agile Services<br>Telephone +49 234 93693-0<br>Email: schreiber@visus.com |
| Date Prepared | June 9th, 2023 |
### Device
| 510(k) Number | K231041 |
|----------------------|---------------------------------------------------|
| Trade Names | JiveX |
| Common Name | Picture Archiving and Communication System (PACS) |
| Classification Panel | Radiology |
| CFR Section | 21 CFR §892.2050 |
| Device Class | Class II |
| Product Code | LLZ |
### Predicate Device
| Predicate Device | K212321 |
|----------------------|---------------------------------------------------|
| Trade Names | JiveX |
| Common Name | Picture Archiving and Communication System (PACS) |
| Classification Panel | Radiology |
| CFR Section | 21 CFR §892.2050 |
| Device Class | Class II |
| Product Code | LLZ |
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# Device Description
JiveX is a PACS software, with a Moderate level of concern.
A Communication Server is communicating, storing, converting, and archiving images, documents and signal data via DICOM. HL7 and proprietary interfaces. It also renders images for the web-based image distribution.
The fat clients can be used as workstations for medical reading and reporting. They provide extensive functions for image display and image processing. The reporting of digital mammography images is also supported.
The web-based clients are mainly intended for image distribution on personal computers and mobile devices. They offer less functions than the fat clients. As far as the functions allow for it, the web clients can also be used for reading and reporting on personal computers.
# Indications for Use
JiveX is a software only Picture Archiving and Communication System intended to display, process, read, report, communicate, distribute, store, and archive medical data which is available as DICOM or HL7 data, including mammographic images, and bio signals. JiveX also converts case related non-image documents, archives them as DICOM data and serves as a vendor neutral archive.
It supports the physician in diagnosis.
For primary image diagnosis in Mammography only uncompressed or non-lossy compressed images must be used.
Typical users of this system are trained professionals, including but not limited to physicians, radiologists, nurses, medical technicians, and assistants.
Note: Web-based image distribution and mobile device display of mammographic images are not intended for diagnostic purposes.
For users in the United States of America: Mobile device display is not intended for diagnostic purposes.
Note: the indications for use have not changed compared to the predicate device.
### Comparison of Technological Characteristics
The subject device and the predicate device have identical technological characteristics: JiveX is a software only medical device (SaMD). The communication server and the fat clients for radiology reading are implemented in Java. The web clients are implemented in java script / type script, HTML and CSS.
The software is run on the customer's own hardware. Clients run on personal computers with MS windows operating systems. Alternatively, clients may be run on a server (-farm) and can be distributed using Citrix. The mobile client runs on iPAD. The server also runs on MS Windows operating systems using server hardware either directly or via virtual machines.
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| | Subject Device (K231041) | Predicate Device (K212321) |
|------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------|
| Name, Release | JiveX 5.4 | JiveX 5.3 |
| Manufacturer | VISUS Health IT GmbH | Same |
| Indications for use | JiveX is a software only Picture<br>Archiving and Communication<br>System intended to display, process,<br>read, report, communicate,<br>distribute, store, and archive<br>medical data which is available as<br>DICOM or HL7 data, including<br>mammographic images, and bio<br>signals. JiveX also converts case<br>related non-image documents,<br>archives them as DICOM data and<br>serves as a vendor neutral archive.<br>It supports the physician in<br>diagnosis.<br>For primary image diagnosis in<br>Mammography only uncompressed<br>or non-lossy compressed images<br>must be used.<br>Typical users of this system are<br>trained professionals, including but<br>not limited to physicians,<br>radiologists, nurses, medical<br>technicians, and assistants.<br>Note: Web-based image distribution<br>and mobile device display of<br>mammographic images are not<br>intended for diagnostic purposes.<br>For users in the United States of<br>America: Mobile device display is<br>not intended for diagnostic purposes. | Same |
| Prescr./OTC | Prescription | Same |
| Design /<br>Architecture | client / server | Same |
| Software only | Yes. Software as a Medical Device<br>(SaMD) | Same |
| Operating<br>systems | Server: Win. 10/11 Srv. 2012/2016/<br>2019/2022; Client: Win. 8.1/10/11;<br>iOS 14/15/16 | Server: Win. 10 Srv. 2012/2016/<br>2019<br>Client: Win. 8.1/10; iOS 13, 14 |
| Image and<br>document<br>communication | TCP/IP, DICOM, HL7, IHE XDS,<br>WADO-URI, proprietary internal<br>data transfer protocols, proprietary<br>interface to accept JPEG from an<br>iPhone via web interface | Same |
| | Subject Device (K231041) | Predicate Device (K212321) |
| Accepted Image<br>Formats | DICOM data + data accepted as non<br>DICOM and converted to DICOM<br>for storage: PDF, JPG, TIFF,<br>standard and proprietary ECG<br>formats | Same |
| Supported<br>storage solutions | Local storage on HDD/RAID/DVD,<br>Network: NAS, SAN, long term<br>storage solutions | Same |
| Image data<br>compression | JPEG 2000 lossless & lossy, ZIP,<br>LZ4, JPEG lossy for web clients<br>Display as received: JPEG lossless<br>& lossy, RLE, MPEG-2 | Same |
| Web based<br>access | Desktop (not intended for<br>mammography reading). Mobile<br>devices (not intended for reading) | Same |
| Virtualization &<br>Citrix support | Yes, VMware. Java and web clients<br>can be distributed via Citrix. | Same |
| User administr. | Centralized | Same |
| Workflow<br>support,<br>RIS/HIS<br>integration | Image Call Up from RIS, Patient<br>Information Reconciliation,<br>Instance Availability, receive<br>documents via HL7 MDM.<br>Supported Standards: HL7, IHE.<br>PACS driven reading workflow. | Same |
| IHE XDS | XDS-Consumer, Integrated Source<br>Repository, XDS Repository | Same |
| Hardware | Windows based, manufacturer<br>independent server, workstations<br>and client hardware, iPAD | Same |
| Image<br>Processing<br>Algorithms | - Zoom, Pan, Rotate, Flip, Magnify<br>- Geometrical Measurements<br>- ROI statistics<br>- Mammography auto shutter<br>- 3D Cross Reference<br>- 4D Navigation<br>- ECG measurements<br>- Interpolation: nearest neighbor, bi-<br>linear, bi-cubic, Lanczos, b-spline<br>- Filters: sharpen, CLAHE<br>- Windowing and LUT mapping | Same |
| | Subject Device (K231041) | Predicate Device (K212321) |
| Image<br>Processing<br>Algorithms 3D | - MPR, curved MPR<br>- Max. Int. Projection<br>- Min. Int. Projection<br>- Volume Rendering<br>- MIP for tomosynthesis data (not<br>for diagnostic use)<br>- 3D image registration<br>- fused display, SUV calculation | Same |
| Hanging<br>protocols | Yes | Same |
| Bookmarks | Yes: Captures | Same |
#### Tabular comparison of subject and predicate device:
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Table 1: Tabular comparison of features and specifications
### Performance Data
#### Summary of Non-Clinical Testing
Verification and validation is done through all development phases and includes
- review of requirements, software design, code
- Review and acceptance of newly implemented functionality
- Daily build of the (intermediate) product and performance of automated tests on unit. . component, x-component and UI level
- Verification / validation of "off the shelf software" ●
- . Evaluation of selected software functionality with customers
- Formal test run of all manual test cases pertaining to new or modified functionality ●
- Impact testing for all changes that had been introduced ●
- Extensive regression testing. including full regression testing of all inacceptable hazards. ●
Based on the non-clinical performance testing the subject device was found to have a safety and effectiveness profile that is similar to the predicate device.
### Conclusions
While there are some differences between JiveX 5.4 and its predicate device, these differences are very minor and do not affect device substantial equivalence. JiveX 5.4 has the same basic operational principles and technical characteristics as its predicate device and it functions in the same manner. Additionally, it has the same indications for use. It is as safe, as effective, and performs as well as or better than its predicate device. Therefore, JiveX 5.4 is substantially equivalent to the predicate device cited within this submission
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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 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.
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Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
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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.
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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.
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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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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.
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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.