Historical patient data from the EMR was used as part of the verification process to confirm that the device's data collectors and analysis components functioned as designed.
Verification; Historical data; EMR
Clinical Evidence
Study Design
Population
Comparator
Key Endpoints
Verification with historical data; Retrospective analysis of historical patient cases
Actual patients from the EMR
Not applicable for this study
Verification of product design and data collection functionality
Indications for Use
AlertWatch:OR is intended for use by clinicians for secondary monitoring of patients within operating rooms. AlertWatch:OR combines data from networked physiologic monitors, anesthesia information management medical records and displays them in one place. AlertWatch:OR can only be used with both physiological monitors and AIMS versions that have been validated by AlertWatch. Once alerted, you must refer to the primary monitor or device before making a clinical decision.
Device Story
AlertWatch:OR is a secondary monitoring display system for operating rooms; operated by anesthesiology staff (residents, CRNAs, attending anesthesiologists). Inputs include real-time physiologic data from networked monitors and patient data from anesthesia information management systems (AIMS). The device synthesizes these inputs to identify potential clinical problems; alerts clinicians when values exceed preset limits. Output is a visual display (including a body diagram with color-coded regions) providing a synthesized view of patient status. The device is intended to support clinical awareness; it does not replace primary monitoring. Clinicians must verify alerts against primary monitoring devices before making clinical decisions. Benefits include improved synthesis of patient data to inform clinicians of potential immediate or long-term complications.
Clinical Evidence
No clinical trials were conducted. Evidence consists of bench testing and validation: 1) Verification of analysis output using constructed data; 2) Verification of data display via web client; 3) Verification of data collectors (Live/Data Collector) from EMR; 4) Verification using historical patient data; 5) Validation of software requirements for clinical accuracy; 6) Validation of clinical utility via case outcome analysis; 7) Summative human factors study to confirm user needs.
Technological Characteristics
Software-based secondary monitoring system. Operates via network connectivity to hospital physiologic monitors and AIMS databases. Employs rule-based algorithms to analyze aggregated data against preset limits. Web-based client interface. Validated for specific monitor/AIMS versions at each installation site.
Indications for Use
Indicated for secondary monitoring of patients in operating rooms by clinicians (anesthesiologists, CRNAs). Used to aggregate and display data from networked physiologic monitors, anesthesia information management systems (AIMS), and medical records. Contraindicated for use as a primary monitor; clinicians must refer to primary devices before making clinical decisions.
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.
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Public Health Service
Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-002
February 7, 2014
AlertWatch LLC c/o Donna-Bea Tillman 400 N. Washington Street Suite 100 Alexandria, VA 22314 US
K130401 Re:
> Trade/Device Name: Alertwatch: OR Regulation Number: 21 CFR 870.1025 Regulation Name: Physiological Patient Monitor (with Arrhythmia Detection or Alarms) Regulatory Class: Class II Product Code: MHX Dated: November 6, 2013 Received: November 8, 2013
Dear Ms. Donna-Bea Tillman:
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 (2 I CFR Part 807); labeling (21 CFR Part 801); medical device reporting (reporting of medical
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Page 2 - Ms. Donna-Bea Tillman
. •
device-related adverse events) (21 CFR 803); good manufacturing practice requirements as set forth in the quality systems (QS) 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 Small Manufacturers, International and Consumer Assistance at its tollfree number (800) 638-2041 or (301) 796-7100 or at its Internet address
http://www.fda.zov/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), piease 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 Small Manufacturers, International and Consumer Assistance at its toll-free number (800) 638 2041 or (301) 796-7100 or at its Internet address http://www.fda.gov/MedicalDevices/Resourcesfor You/Industry/default.htm.
Sincerely yours,
Owen P. Faris -S
for
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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### DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration
# Indications for Use
510(k) Number (if known) K130401
### Device Name
AlertWatch:OR
### Indications for Use (Describe)
AlertWatch:OR is intended for use by clinicians for secondary monitoring of patients within operating rooms. AlertWatch:OR combines data from networked physiologic monitors, anesthesia information management medical records and displays them in one place. AlertWatch:OR can only be used with both physiological monitors and AIMS versions that have been validated by AlertWatch. Once alerted, you must refer to the primary monitor or device before making a clinical decision.
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) (Signalure)
Form Approved: OMB No. 0910-0120 Expiration Date: January 31, 2017 See PRA Statement on last page.
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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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K130401 AlertWatch: OR
# 510(k) Summary
In accordance with 21 CFR 807.87(h) and (2) CFR 807.92) the 510(k) Summary for the AlertWatch:OR device is provided below.
| Device Common Name: | Physiological Patient Monitor with arrhythmia detection or alarms |
|-------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------|
| Device Proprietary Name: | AlertWatch:OR |
| Submitter: | AlertWatch<br>1600 Huron Pkwy, Bldg. 520, Ste. 2326<br>Ann Arbor, MI 48109 |
| Contact: | Donna-Bea Tillman<br>Senior Consultant<br>Biologics Consulting Group, Inc.<br>Phone: 410-531-6542<br>Fax: 720-293-0014<br>Email: dtillman@bcg-usa.com |
| Date Prepared: | January 30, 2014 |
| Classification<br>Regulation: | 21 CFR 870.1025 |
| Panel: | Cardiovascular |
| Product Code: | MHX |
| Predicate Device: | K082583, Phillips MP90 |
#### Indication for Use:
Alert Watch:OR is intended for use by clinicians for secondary monitoring of patients within operating rooms. AlertWatch:OR combines data from networked physiologic monitors, anesthesia information management systems and patient medical records and displays them in one place. AlertWatch:OR can only be used with both physiological monitors and AIMS versions that have been validated by AlertWatch. Once alerted, you must refer to the primary monitor or device before making a clinical decision.
#### Device Description:
Device Deseription.
AlertWatch:OR is a display and secondary alert system used by the anesthesiology staff - residents, CRNA's, and attending anesthesiologists - to monitor patients in operating rooms. The purpose of the program is to synthesize a wide range of patient data and inform clinicians of potential problems that
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#### K130401 AlertWatch: OR
might lead to immediate or long-term complications. Once alerted, the clinician is instructed to refer to the primary monitoring device before making a clinical decision. AlertWatch:OR should only be connected to AIMS systems and physiologic monitors that have been validated for use with Alert Watch:OR. Alert Watch, Inc. performs the validation for each installation site.
#### Performance Testing:
Verification of AlertWatch:OR was conducted to ensure that the product works as designed, and was tested with both constructed data and data from the EMR. There were four parts to the verification process:
- I. Verify the analysis output: Using constructed data, each of the rules/algorithms in the Software Requirements Specification were passed to the product's analysis component to determine that it produced the desired output.
- 2. Verify the data display: Similar to step 1. Using constructed data, verify that the web client produced the desired display for each of the test cases.
- 3. Verify the collectors: Determine that the Live Collector and the Data Collector return the correct data from the EMR.
- 4. Verify the product with historical data: Using a set of cases from actual patients, determine that the product works as designed.
Validation was conducted to check the design and performance of the product, and included these steps:
- Review the process and various inputs for creating the product design the software requirements specification.
- 2. Review the software requirements specification for clinical accuracy.
- 3. Validate the clinical utility of the product by analyzing case outcomes.
- 4. Conduct a summative Human Factors study to demonstrate that the device meets user needs.
#### Substantial Equivalence:
The results of the verification and validation activities demonstrate that the AlertWatch:OR complies with its stated requirements and meets user needs and intended uses. Therefore, it can be found substantially equivalent to the MP90.
#### Table 1: Device Comparison Table
| | Proposed Device | Predicate Device |
|--------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Device Name | AlertWatch:OR | Philips MP90 |
| 510(k) number | Not Yet Assigned | K082583 |
| Classification | MHX | MHX |
| Regulation | 870.1025 | 870.1025 |
| Indications for<br>Use | AlertWatch: OR is intended for use<br>by clinicians for secondary | Indicated for use by health care<br>professionals whenever there is a |
| | monitoring of patients within<br>operating rooms.<br>AlertWatch:OR accomplishes this<br>by aggregating data from networked<br>physiologic monitors, anesthesia<br>information management systems<br>and patient medical records and<br>displaying them at a central location.<br>Once alerted, the clinician must refer<br>to the primary monitoring device<br>before making a clinical decision. | need for monitoring the<br>physiological parameters of<br>patients. Intended for monitoring<br>and recording of and to generate<br>alarms for multiple physiological<br>parameters of adults, pediatrics and<br>neonates in hospital environments.<br>The MP2, X2, MPS, MP20, MP30,<br>MP40, and MPSO are additionally<br>intended for use in transport<br>situations within hospital<br>environments. The MP2, X2 and<br>MPS are also intended for use<br>during patient transport outside of a<br>hospital environment. |
| Intended Use<br>environment | OR | OR, Bedside |
| Intended Users | Anesthesiologist, CRNA | Anesthesiologist, Surgeon,<br>Perfusionist |
| Data server | AlertWatch:OR accesses<br>physiologic data from the hospital<br>network, and all other data from the<br>AIMS database server. | Philips IntelliVue Application<br>Server accesses information from<br>the hospital network, including<br>radiology, pharmacy, laboratory and<br>Hospital Information System data. |
| Re-display of<br>vital sign data<br>from primary<br>monitors | Yes | Yes |
| Generates<br>clinical<br>advisories | AlertWatch:OR Alerts analyzes data<br>from patient monitors and other<br>sources and alerts when values<br>exceed preset limits. | Advanced Event Surveillance<br>feature analyzes data from patient<br>monitors and alerts when values<br>exceed preset limits. |
| Uses color to<br>display clinical<br>information | Image: Diagram of a body with different colored regions | Image: Screenshot of a monitor displaying vital signs |
| Intended to<br>replace<br>primary<br>monitors | No | No |
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### K130401 AlertWatch: OR
3 of 3
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.