K121696 · Raling Medical Company · FLL · Oct 11, 2012 · General Hospital
Device Facts
Record ID
K121696
Device Name
WIRELESS THERMOMETER
Applicant
Raling Medical Company
Product Code
FLL · General Hospital
Decision Date
Oct 11, 2012
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 880.2910
Device Class
Class 2
Attributes
Pediatric
Indications for Use
The Wireless Thermometer, model WTM-BT30-I, is a battery-operated electronic device with intended use of measuring and monitoring human armpit temperature continuously via wireless signal transmission of the measuring result. This system is reusable and is intended for armpit temperature monitoring for persons over two years old.
Device Story
Battery-operated electronic thermometer; measures human armpit temperature continuously; transmits data via Bluetooth to receiver for real-time display. Reusable device; intended for use in persons over two years old. Provides continuous monitoring; enables healthcare providers or users to track temperature trends; facilitates clinical decision-making regarding fever management or patient status. Operates via wireless signal transmission.
Clinical Evidence
Bench testing only. Conformance to IEC 60601-1 (electrical safety), IEC 60601-1-2 (electromagnetic compatibility), and ASTM E1112-00 (performance) demonstrated. Biocompatibility testing conducted per ISO 10993-1, -5, -10, and -12.
Technological Characteristics
Battery-operated electronic thermometer; wireless (Bluetooth) data transmission. Materials meeting skin-contact biocompatibility requirements (ISO 10993). Performance standards: ASTM E1112. Electrical safety: IEC 60601-1. Electromagnetic compatibility: IEC 60601-1-2 and FCC Part 15.
Indications for Use
Indicated for continuous armpit temperature monitoring in persons over two years of age.
Regulatory Classification
Identification
A clinical electronic thermometer is a device used to measure the body temperature of a patient by means of a transducer coupled with an electronic signal amplification, conditioning, and display unit. The transducer may be in a detachable probe with or without a disposable cover.
Special Controls
(1) Device is not a clinical thermometer with telethermographic functions;
(2) Device is not a clinical thermometer with continuous temperature measurement functions; and
(3) Appropriate analysis and testing (such as that outlined in the currently FDA-recognized editions, as appropriate, of ISO 80601-2-56, “Medical electrical equipment—Part 2-56: Particular requirements for basic safety and essential performance of clinical thermometers for body temperature measurement,” or ASTM E1965, “Standard Specification for Infrared Thermometers for Intermittent Determination of Patient Temperature,” or ASTM E1112, “Standard Specification for Electronic Thermometer for Intermittent Determination of Patient Temperature,” or ASTM E1104, “Standard Specification for Clinical Thermometer Probe Covers and Sheaths”) must validate specifications and performance of the device.
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# Section 1 510(k) Summary
#### As required by 807.92
## The assigned 510(k) Number is 12 1696
Sponsor
Raiing Medical Company No. 11, Huatong Rd., Beijing, China 102200 Mr. Wu Wei, General Engineer Tel:+86-10-64118658 Fax: +86-10-80115555 ext. 776445 Email: tjww@raiing.com
Submission Correspondent Mr. Wu Wei Raiing Medical Company No. 11, Huatong Rd., Beijing, China 102200 Tel: +86-10-64118658 Fax: +86-10-80115555 ext. 776445 Email: tjww@raiing.com
Wireless Thermometer
WTM-BT30-I
21 CFR 880.2910
FLL
Class II
New Device
Proposed Product
Trade Name Model Product Code: Regulation Number: Device Class:
Submission Purpose:
Predicate Device:
K100226/RIO FLEXON TECHNOLOGY CO., LTD.
The proposed device is use to measure, monitor and record Device Description the body temperature in armpit, and transmits the data recorded to receiver for display by wireless (blue tooth) way in real time.
Test Conclusion IEC 60601-1 IEC 60601-1-2 ASTM E1112-00
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FCC Part 15 Performance Test
The proposed device is Substantially Equivalent (SE) to the SE Determination predicate device which is US legally market device. Therefore, the subject device is determined as safe and effectiveness. Please refer to the brief SE Comparison Table as following.
#### Intended Use/Indication for Use
The Wireless Thermometer, model WTM-BT30-I, is a battery-operated electronic device with intended use of measuring and monitoring human armpit temperature continuously via wireless signal transmission of the measuring result. This system is reusable and is intended for armpit temperature monitoring for persons over two years old.
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| Comparison Elements | Proposed Device | Predicate Device (K100226) | |
|------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------|
| Intended Use | The Wireless Thermometer, model WTM-B530-I, is a battery-operated electronic device with intended use of measuring and monitoring human armpit temperature continuously via wireless signal transmission of the measuring result. This system is reusable and is intended for armpit temperature monitoring for persons over two years old. | The Wireless body temperature monitor, model BTM-D1x series are the battery-operated electronic devices with intended use of measuring human ear temperature precisely and continuously monitors armpit temperature via wireless signal transmission of measuring result. This device is reusable and intended for ear temperature measurements as well as the armpit temperature monitor for the person above two years old. | |
| Device Specifications | The proposed device has the similar device specification with the predicate device without new risk of safety and effectiveness. | | |
| Material Specification | All materials used for skin-connecting are meet the requirements of FDA and the biocompatibility test has been conducted. | | |
| Safety and Performance | Biocompatibility | Conformed to ISO 10993-1, ISO 10993-5, ISO10993-10, ISO10993-12. | Conformed to ISO 10993-1, ISO 10993-5, ISO10993-10, ISO10993-12. |
| | Electrical Safety | Conformed to IEC 60601-1 | Conformed to IEC 60601-1 |
| | Electromagnetic Compatibility | Conformed to IEC 60601-1-2 and FCC | Conformed to IEC 60601-1-2 and FCC |
| | Performance | Conformed to ASTM E1112 | Conformed to ASTM E1112 |
:
Brief SE Comparison Table between the Proposed Device and Predicate Device
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Image /page/3/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 words "DEPARTMENT OF HEALTH & HUMAN SERVICES USA" arranged around the perimeter. Inside the circle is an abstract symbol that resembles a stylized caduceus, a symbol often associated with medicine and healthcare.
Food and Drug Administration 10903 New Hampshire Avenue Document Control Room -WO66-G609 Silver Spring, MD 20993-0002
Raiing Medical Company
Mr. Wu Wei
General Engineer
No. 11, Huatong Road
Beijing, China 102200
OCT 1 1 2012
Re: K121696
Trade/Device Name: Wireless Thermometer WTM-BT30-I Regulation Number: 21 CFR 880.2910 Regulation Name: Clinical Electronic Thermometer Regulatory Class: II Product Code: FLL Dated: September 10, 2012 Received: September 10, 2012
Dear Mr. Wei:
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.
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#### Page 2- Mr. Wei
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-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 go to
http://www.fda.gov/AboutFDA/CentersOffices/CDRH/CDRHOffices/ucm115809.htm for the Center for Devices and Radiological Health's (CDRH's) Office of Compliance. Also, please note the regulation entitled. "Misbranding by reference to premarket notification" (21CFR 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 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,
For S. Shultz
Anthony D. Watson, B.S., M.S., M.S., M.B.A. Director
Division of Anesthesiology, General Hospital, Infection Control and Dental Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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### Indications for Use
510(k) Number (if known): _ k121696
Device Name: Wireless Themometer /Model: WTM-BT30-I
Indications For Use:
The Wireless Thermometer, model WTM-B530-I, is a battery-operated elected electronic device with intended use of measuring and monitoring human armpit temperature continuously via wireless signal transmission of the measuring result. This system is reusable and is intended for armpit temperature monitoring for persons over two years old.
Prescription Use (Part 21 CFR 801 Subpart D) AND/OR
Over-The-Counter Use (21 CFR 801 Subpart C)
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE IF NEEDED)
Concurrence of CDRH, Office of Device Evaluation (ODE)
Rill Chaye 9/21/12
(Division Sign-Off) Division of Anesthesiology, General Hospital Infection Control, Dental Devices
Page 1 of 1
**510(k) Number:** K121696
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.