K Number
K190013
Device Name
WellDoc BlueStar
Manufacturer
Date Cleared
2019-11-04

(305 days)

Product Code
Regulation Number
880.5725
Panel
HO
Reference & Predicate Devices
N/A
AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
Intended Use

The WellDoc BlueStar® System is indicated for use by healthcare providers (HCPs) and their patients - aged 18 years and older - who have type 1 or type 2 diabetes. The BlueStar System is intended to provide secure capture, storage, and transmission of blood glucose data as well as information to aid in diabetes self-management. The BlueStar® System analyzes and reports blood glucose test results and supports medication adherence. In addition, the BlueStar System provides coaching messages (motivational, behavioral, and educational) based on real-time blood glucose values and trends. It includes software intended for use on mobile phones or personal computers in the home or in professional healthcare settings. The software also allows for entry of other diabetes-related healthcare information and provides educational information.

The BlueStar® System is not intended to replace the care provided by a licensed healthcare professional, including prescriptions, diagnosis, or treatment.

The WellDoc BlueStar® Rx System is indicated for use by healthcare providers (HCPs) and their patients - aged 18 years and older - who have type 1 or type 2 diabetes. The BlueStar® Rx System is intended to provide secure capture, storage, and transmission of blood glucose data as well as information to aid in diabetes self-management. The BlueStar® Rx System analyzes and reports blood glucose test results and supports medication adherence. In addition, the BlueStar® Rx System provides coaching messages (motivational, behavioral, and educational) based on real-time blood glucose values and trends. It includes software intended for use on mobile phones or personal computers in the home or in professional healthcare settings. The software also allows for entry of other diabetes-related healthcare information and provides educational information. BlueStar® Rx includes an insulin dose calculator to allow patients to use their prescribed regimen to calculate a dose of insulin for a given amount of carbohydrates and/or blood glucose value.

The BlueStar® Rx System is not intended to replace the care provided by a licensed healthcare professional, including prescriptions, diagnosis, or treatment.

Device Description

WellDoc® BlueStar® is a stand-alone software system intended to be used by healthcare providers (HCPs) and their patients - aged 18 years and older - who have Type 1 or Type 2 Diabetes. The system is intended to assist Type 1 and Type 2 Diabetes patients to self-manage their disease, as cleared under K162532. Patients receive guidance on diabetes self-management and are encouraged to reach out to their healthcare team when needed. There are two versions of BlueStar® - BlueStar® and BlueStar® Rx - which differ in the availability of the insulin dose calculator, which is restricted to a prescription from a licensed HCP with prescribing authority.

BlueStar® and BlueStar® Rx are implemented through an enterprise such as a health plan or large physician group in tandem with a patient's healthcare team and are comprised of the following applications:

  • Enterprise Director Portal
  • HCP Service
  • Patient Mobile Application
  • Patient Web Portal

The Enterprise Director application is used for administrative purposes. The HCP Service houses the Medication Reconciliation feature, which allows for the process of identifying the most accurate list of all medications that the patient is taking, including name, dosage and frequency, by comparing the medical record to an external list of medications obtained from a patient, hospital, or other provider (cleared under K141273).

The Patient Web Portal and the Patient Mobile application have a similar feature set. Data (including blood glucose values, medications, carbohydrates, and activity) entered into these applications are stored in the database and can be retrieved for display in either application. Both applications require the initial web- or mobile-based registration before the patient can access them. On the patient applications (Mobile and Web), BlueStar® and BlueStar® Rx function as an (1) information repository (logbook and Personal Health Record) and (2) diabetes education resource (learning library and health tips) and provide (3) motivational, behavioral, and educational coaching based on real-time blood glucose values and trends, (4) a secure communication system (Message Center), (5) medication information (dose and schedule), and (6) workflow and decision support for healthcare providers.

In BlueStar® Rx, the patient web portal and mobile application also provide an insulin calculator to allow patients to use their prescribed regimen to calculate a dose of insulin for a given amount of carbohydrates and/or blood glucose value. This submission introduces Insulin on Board to be considered in the calculation. The insulin dose calculator is indicated for prescription-use only.

Furthermore, as cleared under K162225, BlueStar® and BlueStar® Rx have the ability to connect to the One Touch Verio Flex Blood Glucose Meter (K150214) via Bluetooth. This will allow users to send data from their meter to the BlueStar® Rx app, which will provide coaching messages (motivational, behavioral, and educational) based on the real-time blood glucose values and trends. The BlueStar Server will also have the ability to transmit data to the OneTouch Reveal Server. With this application, 3-hour delayed continuous glucose monitoring device data can be accessed via API and uploaded for data visualization purposes only. These modifications do not change the fundamental scientific technology of the device.

AI/ML Overview

This document describes the WellDoc BlueStar and BlueStar Rx System, a software system for diabetes self-management. This 510(k) summary (K190013) references K162532 as the predicate device.

1. Table of Acceptance Criteria and Reported Device Performance

The provided document does not contain a table of acceptance criteria with specific performance metrics (e.g., accuracy percentages, error rates). Instead, it states that the device's performance was evaluated through various non-clinical tests to demonstrate substantial equivalence to its predicate.

Test CategoryAcceptance Criteria (Implied)Reported Device Performance
SoftwareCompliance with FDA Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices (May 11, 2005) for a "Major Level of Concern," and "Guidance for Industry, FDA Reviewers and Compliance on Off-the-Shelf Software Use in Medical Devices." Implied acceptance of proper functionality and reliability of the software."Software verification and validation per the FDA Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices (May 11, 2005) for a Major Level of Concern FDA Guidance “Guidance for Industry, FDA Reviewers and Compliance on Off-the-Shelf Software Use in Medical Devices”" (No specific performance metrics are given, but compliance with these guidances indicates successful V&V.)
CybersecurityEvaluation per FDA Guidance Content of Premarket Submissions for Management of Cybersecurity in Medical Devices (October 2, 2014), specifically addressing Identify, Protect, Detect, Response, and Recover areas. Implied acceptance of robust cybersecurity measures."Cybersecurity was evaluated per the FDA Guidance Content of Premarket Submissions for Management of Cybersecurity in Medical Devices Guidance for Industry and Food and Drug Administration Staff, (October 2, 2014). Specifically, addressing the following areas: Identify and Protect, Detect, Response and Recover" (No specific performance metrics are given, but evaluation against this guidance implies successful implementation of cybersecurity.)
Human FactorsAdequate validation of the user interface for use per the labeling for both patients and healthcare providers, ensuring safe and effective interaction for the intended user populations."Human factors testing was conducted with the intended user populations of patients and healthcare providers. The human factors, design, and labeling information provided in the submission confirm that the user interface has been adequately validated for use per the labeling." (This indicates successful human factors testing that supports the user interface's validity for its intended use.)
Insulin on BoardNo new questions of safety or effectiveness are raised by the addition of Insulin on Board (IOB) to the insulin dose calculator function. The linear decay model used must be "well-understood and accepted.""Both the subject device and reference device use a well-understood and accepted linear decay model to model the Insulin on Board decay. There are no notable differences with regards to this technological characteristic to a previously-cleared device." (This confirms the successful application of the IOB feature without raising new safety/effectiveness concerns, aligning with the implied criteria.)
CGM Data AccessNo new questions with regards to software or cybersecurity due to the ability to receive 3-hour delayed data from continuous glucose monitoring devices via API for data visualization only. Compliance with special controls stated in 21 CFR 862.1350 (related to CGM secondary display regulation)."The subject device does not use Bluetooth to connect to a Continuous Glucose Meter directly. There are no new questions with regards to software or cybersecurity. De Novo DEN140038 classified CGM secondary display regulation. BlueStar has complied per the special controls stated in 21 CFR 862.1350." (This indicates successful integration of CGM data access without introducing new software or cybersecurity risks, and compliance with relevant regulations.)
Overall EquivalenceThe differences between the subject and predicate devices (expanded patient population, IOB, CGM data access) do not raise different questions of safety or effectiveness, and performance data demonstrates substantially equivalent performance to the predicate."The differences between the predicate and the subject devices do not raise any new or different questions of safety or effectiveness. The WellDoc® BlueStar® and BlueStar® Rx System is substantially equivalent to WellDoc® BlueStar® and BlueStar® Rx System cleared under K162532 with respect to the indications for use, target populations, treatment method, and technological characteristics." "Performance data provided in the submission, including human factors, design, and labeling information, demonstrate substantially equivalent performance to the predicate." (This is the overarching conclusion of the submission, confirming the device meets the substantial equivalence criteria.)

2. Sample Sizes used for the Test Set and Data Provenance

The document explicitly states: "Clinical Tests: Not Applicable."
Therefore, there is no test set or information regarding sample sizes, country of origin, or retrospective/prospective nature of data for clinical validation of device performance. The performance claim is based on non-clinical testing and substantial equivalence to a predicate device.

For the Human Factors testing, it mentions: "Human factors testing was conducted with the intended user populations of patients and healthcare providers." However, specific sample sizes for these user populations are not provided. The data provenance is not stated (e.g., country of origin, prospective or retrospective).

3. Number of Experts used to Establish the Ground Truth for the Test Set and the Qualifications of those Experts

As there were no clinical tests and no explicit "test set" in the context of clinical performance evaluation (only non-clinical V&V and human factors), there is no information provided about experts establishing ground truth for a test set.

For the human factors study, "healthcare providers" were part of the intended user population, implying experts were involved as participants, but not in establishing ground truth in the traditional sense of diagnostic accuracy. Their qualifications beyond being "healthcare providers" are not detailed.

4. Adjudication Method for the Test Set

Since there was no clinical "test set" requiring ground truth establishment, no adjudication method (e.g., 2+1, 3+1, none) is mentioned.

5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study was done

No, an MRMC comparative effectiveness study was not done. The document states "Clinical Tests: Not Applicable."

6. If a standalone (i.e. algorithm only without human-in-the loop performance) was done

The document primarily focuses on the software system's functionality and its ability to process data, provide coaching messages, and calculate insulin doses. The "Software verification and validation" would assess the algorithm's standalone performance in terms of its intended functions. However, there isn't a separate, explicit study titled "standalone performance study" with specific metrics beyond the general software V&V. The human factors testing then evaluates it with human interaction. The insulin dose calculator performs its calculations algorithmically, and its "performance" is implicitly evaluated through software V&V and comparison to a well-understood linear decay model.

7. The type of ground truth used

For the software validation, the "ground truth" would be the expected output of the algorithms and software logic based on design specifications and established clinical models (e.g., for the insulin dose calculator, the "ground truth" is a correct calculation based on inputted parameters and a 'well-understood and accepted linear decay model'). For cybersecurity, the ground truth is adherence to security best practices and robustness against known vulnerabilities. For human factors, the ground truth is the usability and safety of the interface as determined by user interaction and expert review. No pathology or outcomes data is mentioned as ground truth.

8. The sample size for the training set

The document does not mention a training set or its sample size. This is a software medical device, and the evaluation is primarily focused on verification and validation of its deterministic functions, safety, cybersecurity, and human factors, rather than a machine learning model that would require a distinct training set.

9. How the ground truth for the training set was established

Since no training set is mentioned, the method for establishing its ground truth is not applicable.

§ 880.5725 Infusion pump.

(a)
Identification. An infusion pump is a device used in a health care facility to pump fluids into a patient in a controlled manner. The device may use a piston pump, a roller pump, or a peristaltic pump and may be powered electrically or mechanically. The device may also operate using a constant force to propel the fluid through a narrow tube which determines the flow rate. The device may include means to detect a fault condition, such as air in, or blockage of, the infusion line and to activate an alarm.(b)
Classification. Class II (performance standards).