K142106 · Decisio Health, Inc. · MWI · Jan 18, 2015 · Cardiovascular
Device Facts
Record ID
K142106
Device Name
DECISIO HEALTH PATIENT DASHBOARD
Applicant
Decisio Health, Inc.
Product Code
MWI · Cardiovascular
Decision Date
Jan 18, 2015
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 870.2300
Device Class
Class 2
Attributes
Software as a Medical Device
Indications for Use
The Decisio Health Patient Dashboard is a decision support device indicated for aggregating, displaying, and managing physiologic and other patient information is generated by third party medical devices and patient information systems. The device performs automated calculations on patient data collected by third party devices based on approved clinical protocols at patient care facilities. The Decisio Health Patient Dashboard is intended for use by clinicians in healthcare facilities.
Device Story
Software-based data aggregation/visualization device; receives patient data from hospital EMR systems, including vital signs monitors, ventilators, IV pumps, and Foley catheters; stores, filters, and displays data via web browser on monitors, computers, or mobile devices. Configured with facility-specific treatment protocols to provide visual cues to clinicians. Enables centralized patient monitoring; assists clinicians in interpreting physiologic data; supports clinical decision-making by presenting protocol-relevant information. Used in healthcare facilities by clinicians.
Clinical Evidence
No clinical data. Performance supported by unit, integration, and system-level bench testing. Human factors and usability study conducted with 45 clinicians confirmed intended users can interpret displayed information as intended.
Technological Characteristics
Software-based data aggregation and visualization platform. Operates as a web browser application. Integrates with hospital EMR systems to receive data from third-party devices. Configurable to facility-specific clinical protocols. No specific hardware materials or energy sources defined as it is a software-only device.
Indications for Use
Indicated for clinicians in healthcare facilities to aggregate, display, and manage physiologic and patient information generated by third-party medical devices and systems; performs automated calculations based on facility-specific clinical protocols.
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.
Predicate Devices
AirStrip Remote Patient Monitoring RPM Remote Data Viewing software (K100133)
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Image /page/0/Picture/1 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo consists of a circular seal with the text "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" around the perimeter. Inside the circle is a stylized image of three human profiles facing right, stacked on top of each other.
Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
January 16, 2015
Decisio Health, Inc. c/o Ronald Warren Regulatory Consultant Experien Group. LLC 755 N. Mathilda Avenue, Suite 100 Sunnyvale, California 94085
Re: K142106
Trade/Device Name: Decisio Health Patient Dashboard Regulation Number: 21 CFR 870.2300 Regulation Name: Cardiac Monitor (Including Cardiotachometer And Rate Alarm) Regulatory Class: Class II Product Code: MWI Dated: December 18, 2014 Received: December 19, 2014
Dear Ronald Warren,
We have reviewed your Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food. Drug. and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting (reporting of medical device
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related adverse events) (21 CFR 803): good manufacturing practice requirements as set forth in the quality systems (OS) regulation (21 CFR Part 820); and if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please contact the Division of Industry and Consumer Education at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/ResourcesforYou/Industry/default.htm. 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
http://www.fda.gov/MedicalDevices/Safety/ReportaProblem/default.htm for the CDRH's Office of Surveillance and Biometrics/Division of Postmarket Surveillance.
You may obtain other general information on your responsibilities under the Act from the Division of Industry and Consumer Education at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/ResourcesforYou/Industry/default.htm.
Sincerely yours,
Melissa A. Torres -S
For Bram D. Zuckerman, M.D. Director Division of Cardiovascular Devices Office of Device Evaluation Center for Devices and Radiological Health
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#### DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration
## Indications for Use
Form Approved: OMB No. 0910-0120 Expiration Date: January 31, 2017 See PRA Statement below.
510(k) Number (if known) K142106
Device Name Decisio Health Patient Dashboard
#### Indications for Use (Describe)
The Decisio Health Patient Dashboard is a decision support device indicated for aggregating, displaying, and managing physiologic and other patient information is generated by third party medical devices and patient information systems. The device performs automated calculations on patient data collected by third party devices based on approved clinical protocols at patient care facilities.
The Decisio Health Patient Dashboard is intended for use by clinicians in healthcare facilities.
#### 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)
PLEASE DO NOT WRITE BELOW THIS LINE - CONTINUE ON A SEPARATE PAGE IF NEEDED.
#### FOR FDA USE ONLY
Concurrence of Center for Devices and Radiological Health (CDRH) (Signature)
This section applies only to requirements of the Paperwork Reduction Act of 1995.
#### *DO NOT SEND YOUR COMPLETED FORM TO THE PRA STAFF EMAIL ADDRESS BELOW.*
The burden time for this collection of information is estimated to average 79 hours per response, including the time to review instructions, search existing data sources, gather and maintain the data needed and complete and review the collection of information. Send comments regarding this burden estimate or any other aspect of this information collection, including suggestions for reducing this burden, to:
> Department of Health and Human Services Food and Drug Administration Office of Chief Information Officer Paperwork Reduction Act (PRA) Staff PRAStaff@fda.hhs.gov
"An agency may not conduct or sponsor, and a person is not required to respond to, a collection of information unless it displays a currently valid OMB number."
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## 510(k) Notification K142106
#### GENERAL INFORMATION
### Applicant:
Decisio Health, Inc. 6500 Main St, Suite 1030, Houston, TX 77030 U.S.A. Phone: 713-252-8124
#### Contact Person:
Ronald S. Warren Regulatory Consultant for Decisio Health, Inc. Experien Group, LLC 755 N. Mathilda Ave, Suite 100 Sunnyvale, CA 94085 U.S.A. Phone: 1-408-505-3926 FAX: 1-408-400-0865
### Date Prepared: January 8, 2015
#### DEVICE INFORMATION
### Trade Name:
Decisio Health Patient Dashboard
### Generic/Common Name:
Physiological Patient Monitor (without arrhythmia detection or alarms)
#### Classification:
Class II, 21 CFR\$870.2300, Cardiac monitor (including cardiotachometer and rate alarm)
#### Product Code:
MWI, Monitor, Physiological, Patient (Without Arrhythmia Detection or Alarms)
### PREDICATE DEVICES
The following predicate devices have been selected:
- AirStrip Remote Patient Monitoring RPM Remote Data Viewing software, AirStrip Technologies LP. (K100133)
- . AlertWatch: OR, AlertWatch LLC (K130401)
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## 510(k) SUMMARY
## INDICATIONS FOR USE
The Decisio Health Patient Dashboard is a decision support device indicated for aggregating, displaying, and managing physiologic and other patient information. This information is generated by third party medical devices and patient information systems. The device performs automated calculations on patient data collected by third party devices based on approved clinical protocols at patient care facilities.
The Decisio Health Patient Dashboard is intended for use by clinicians in healthcare facilities.
# PRODUCT DESCRIPTION
The Decisio Health Patient Dashboard ("Patient Dashboard") is a data aggregation and visualization software device. The Patient Dashboard is designed to display patient information, facility specific care protocols, and visual cues to care providers on a single display device. The Patient Dashboard is configured to receive patient data through the facility's Electronic Medical Record system and display information to the user on a patient monitor, computer, or a mobile device. Data received through the EMR includes input from various sources within the hospital, including manually entered data into the EMR (e.g., laboratory data), vital signs monitors, ventilators, IV pumps, and Foley catheter devices. The data the Patient Dashboard receives are then stored, filtered, and displayed through the Patient Dashboard web browser application. The Patient Dashboard is customized to individual facility's care as it is programmed with the facility's treatment protocols, which dictate the information that is displayed relative to those protocols. The device performs automated calculations on patient data collected by third party devices based on approved clinical protocols at patient care facilities.
# SUBSTANTIAL EQUIVALENCE
The indications for use for the predicate devices are substantially equivalent to the proposed indications for use for the Patient Dashboard. Any differences in the technological characteristics between the devices do not raise new issues of safety or effectiveness. Thus, the Patient Dashboard is substantially equivalent to the predicate devices.
### TESTING IN SUPPORT OF SUBSTANTIAL EQUIVALENCE DETERMINATION
All necessary testing was conducted on the Patient Dashboard to support a determination of substantial equivalence to the predicate devices. Performance testing was conducted on the Patient Dashboard to ensure that the device performs as intended per its specifications. Unit, integration, and system level testing demonstrated that the Patient Dashboard meets its specifications, including receiving data from the EMR, processing patient data according to a facility protocol, and displaying the data as expected.
Additionally, a human factors and usability study has been performed with the Patient Dashboard. The study involved 45 clinicians, who are the intended users of the Patient Dashboard. The results of the study confirmed that the Patient Dashboard design meets its intended use and the user can interpret the displayed information as intended.
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# 510(k) SUMMARY
Therefore, performance testing verified that the device performs as intended, its design meets its intended use, and that the differences in technological characteristics between the Patient Dashboard and the predicate devices do not raise new issues of safety or effectiveness.
# CONCLUSION
The Patient Dashboard has the same intended use and similar technological characteristics as do the predicate devices. The differences in technological characteristics have been analyzed and addressed through software performance testing, and human factors and usability testing. As such, the Patient Dashboard is substantially equivalent to the predicate devices.
# SUMMARY
The Decisio Health Patient Dashboard is substantially equivalent to the predicate devices.
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.