Dario Blood Glucose Monitoring System
K150817LabStyle Innovations Ltd. · cleared 2015-12-21 · product code NBW · Clinical Chemistry
Premarket evidence — what FDA accepted
source quote (p.5)
“The Dario Blood Glucose Monitoring System consists of a device housing that includes a blood glucose meter and lancing device. The system also includes test strips, lancets, control solutions and a mobile application. The Dario meter is powered via the 3.5mm audio headphone jack of the smart mobile device. Users are instructed to insert the test strip into the meter, apply the blood or control solution to the test strip, after which the meter will process the test in approximately six (6) seconds and display the test result on the smart mobile device screen via the mobile application. The Dario Blood Glucose Monitoring System uses Apple's iOS smart mobile device technology to view the glucose test results via a mobile application. This application is available for download via the smart mobile device's application store. The meter calculates the blood glucose level based on an internal algorithm. The Dario application displays the test result via the smart mobile device display.”
source quote (p.5)
“The meter calculates the blood glucose level based on an internal algorithm.”
Validation studies (3)
Retrospective clinical
n=100 cases
endpoints: 100% of individual glucose results fell within 15 mg/dL of the YSI reference at glucose concentrations < 75 mg/dL; 99.6% of individual glucose results fell within 20% of the results of YSI at glucose concentrations ≥ 75mg/dL
standards: ISO 15197:2003
Reader study (MRMC)
n=100 cases
endpoints: accuracy of blood glucose level results obtained by users with the Dario when compared to a reference method; ease of use of the subject device by lay users
standards: ISO 15197:2003
Bench
sample size not stated
endpoints: measurement repeatability; intermediate measurement precision
standards: ISO 15197:2003
Reported performance (6 observations)
source quote (p.7)
“The results showed that 100% of individual glucose results fell within 15 mg/dL of the YSI reference at glucose concentrations < 75 mg/dL”
source quote (p.7)
“and 99.6% of individual glucose results fell within 20% of the results of YSI at glucose concentrations ≥ 75mg/dL.”
source quote (p.9)
“Results for glucose concentrations less than 75 mg/dL: Within ± 15% 11/11 (100%)”
source quote (p.9)
“Results for glucose concentrations greater than or equal to 75 mg/dL: Within ± 20% 88/89 (98.88%)”
source quote (p.7)
“The results for measurement repeatability and intermediate measurement precision evaluation showed a CV ≤ 4% at blood glucose concentrations ≥ 100 mg/dL”
source quote (p.7)
“and a standard deviation of ≤ 3 mg/dL at blood glucose concentrations <100 mg/dL.”
Each value carries its own analysis unit and task — never compare or pool across devices. Source: 510(k) summary PDF.
Predicate network
Postmarket — what happened after clearance
- recall_reason_pattern
Software/algorithm-related recall in product code NBW (Trividia Health, Inc., initiated 2026-02-06): "The system labeling (user manual and online labeling) did not provide adequate directions for lay users to act on the E-5 error code. The error code description and recommended act" Recalling firm is another firm in the same product code.
first seen 2026-07-08 · recall res_event_number:98317
- recall_reason_pattern
Software/algorithm-related recall in product code NBW (Telcare, LLC, initiated 2025-01-30): "Telcare, LLC has received customer complaints related to battery expansion/swelling for its Philips Connected Blood Glucose Meter (i.e., BGM 4 brand name) Monitoring System.. The i" Recalling firm is another firm in the same product code.
first seen 2026-07-08 · recall res_event_number:96230
Recalls attributed to this device
Recalling firm matches this device's applicant (LABSTYLE INNOVATIONS 7, Derekh Menakhem Begin Ramat Gan Israel) — same firm and product code, not necessarily this device · initiated 2019-08-29
The Dario-Blood Glucose Tracker Android App versions 4.3.0-4.3.2 may experience duplicate logging of a blood glucose level reading.
recall event 83761 (openFDA)
Recall and MAUDE counts are product-code-level (reports aren't reliably attributable to one device); a recall is shown as device-attributed only when the recall record itself lists this clearance number. Signals are descriptive observables with sources — never a judgment that the device is unsafe or drifting. Snapshot 2026-07-08.
Reimbursement — how devices like this got paid
Not yet tracked — no payment pathway indexed for this clearance (the reimbursement corpus is a growing seed set).
Applicable FDA guidance — what the submission is measured against
FDA guidance documents and guiding principles applicable to 510(k) AI/ML devices in the Clinical Chemistry panel. A curated reference index, not legal or regulatory advice — each item states its own status, and a draft is never binding.
- Final guidance2026-01Clinical Decision Support Software
Clinical decision support · SaMD (general)
New final guidance issued Jan 2026, superseding the Sept 2022 version; narrows the device-CDS scope. Applies to software that informs clinical management.
- Final guidance2026-01General Wellness: Policy for Low Risk Devices
SaMD (general) · Clinical decision support
Revised final (Jan 2026); now addresses noninvasive products estimating physiologic parameters (SpO2, BP, glucose). Reshapes the device / non-device line for AI wellness features.
- Final guidance2025-09Computer Software Assurance for Production and Quality Management System Software
SaMD (general) · Postmarket
Final (Sept 2025). Covers software used in production/QMS (incl. ML development-pipeline tooling), superseding Section 6 of the 2002 GPSV — not device software functions themselves.
- Final guidance2025-06Cybersecurity in Medical Devices: Quality Management System Considerations and Content of Premarket Submissions
Cybersecurity · Software premarket content
Reissued June 2025 (retitled 'Quality Management System', was Sept 2023 'Quality System'); adds coverage of FD&C Act §524B cyber devices.
- Final guidance2024-12Marketing Submission Recommendations for a Predetermined Change Control Plan for Artificial Intelligence-Enabled Device Software Functions
Predetermined Change Control Plan · AI/ML lifecycle · Software premarket content
Final (Dec 2024). Supersedes the April 2023 AI/ML PCCP draft.
- Final guidance2023-10Electronic Submission Template for Medical Device 510(k) Submissions
Software premarket content
eSTAR has been mandatory for 510(k)s since Oct 2023 — operationally unavoidable, though not AI-specific.
- Final guidance2023-08Off-The-Shelf Software Use in Medical Devices
Software premarket content · SaMD (general)
Final (Aug 2023). Applies when a device incorporates off-the-shelf software components (common in ML stacks).
- Final guidance2023-06Content of Premarket Submissions for Device Software Functions
Software premarket content · SaMD (general)
Final (June 2023); replaced the May 2005 'Software Contained in Medical Devices' guidance. Documentation level drives the software content of the submission.
- Final guidance2022-09Policy for Device Software Functions and Mobile Medical Applications
SaMD (general) · Clinical decision support
Current version Sept 2022. Frames which software functions FDA regulates as devices.
- Final guidance2021-10De Novo Classification Process (Evaluation of Automatic Class III Designation)
De Novo pathway
Final (Oct 2021), issued with the De Novo final rule. Most relevant to first-of-a-kind devices without a predicate (DEN-numbered clearances).
- Final guidance2016-12Postmarket Management of Cybersecurity in Medical Devices
Cybersecurity · Postmarket
- Final guidance2002-01General Principles of Software Validation
SaMD (general) · Software premarket content
Still active except Section 6 (superseded Sept 2025 by the Computer Software Assurance final guidance).
- Draft guidance2025-01Artificial Intelligence-Enabled Device Software Functions: Lifecycle Management and Marketing Submission Recommendations
AI/ML lifecycle · Software premarket content · Transparency
Draft as of July 2026 (published Jan 2025); finalization is on CDRH's FY2026 agenda but not yet published. Treat as FDA's stated direction, not a binding expectation.
- Draft guidance2024-08Predetermined Change Control Plans for Medical Devices
Predetermined Change Control Plan · Postmarket
Draft (Aug 2024) extending PCCPs beyond AI to all devices under FD&C §515C; not final as of July 2026.
- Guiding principles2024-06Transparency for Machine Learning-Enabled Medical Devices: Guiding Principles
Transparency · AI/ML lifecycle
- Guiding principles2023-10Predetermined Change Control Plans for Machine Learning-Enabled Medical Devices: Guiding Principles
Predetermined Change Control Plan · AI/ML lifecycle
FDA/Health Canada/MHRA joint principles (Oct 2023); companion to the GMLP and Transparency principles.
- Guiding principles2021-10Good Machine Learning Practice for Medical Device Development: Guiding Principles
AI/ML lifecycle · SaMD (general)
FDA/Health Canada/MHRA joint principles (Oct 2021). Foundational, not a binding guidance; IMDRF issued a related GMLP document Jan 2025.
Applicability is derived from the device's FDA advisory panel and pathway — cross-cutting guidances apply to every AI/ML device; panel-specific ones are flagged. Titles, dates, and links verified against fda.gov as of July 2026.