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DreaMed Advisor Pro

DreaMed Diabetes Ltd • Clinical Chemistry • 07/18/2019

510(k)IEC 62304 Class B
FDA Summary PDF

Device Purpose

DreaMed Advisor Pro is a decision-support software intended to assist healthcare professionals in optimizing insulin pump therapy for Type 1 diabetes patients by analyzing CGM, SMBG, and insulin delivery data. Utilizing algorithmic analysis of this data, the device generates recommendations for basal rate, carbohydrate ratio, and correction factor adjustments, aiming to improve glycemic management based on established patterns and validated against expert opinion.

Summary

DreaMed Advisor Pro is a decision-support software designed for healthcare professionals to aid in the management of patients with Type 1 diabetes. It is intended for individuals aged 6 to 65 years who use insulin pumps with rapid-acting U-100 insulin analogs and monitor their glucose levels via Continuous Glucose Monitoring (CGM) and/or self-management blood glucose (SMBG) meters. The software gathers and analyzes information from qualified Diabetes Management Systems (DMS), including glucose readings, insulin dosing logs, and meal data collected during routine care. Its primary function is to generate recommendations for optimizing a patient’s insulin pump settings, specifically the basal rate, carbohydrate ratio (CR), and correction factor (CF), without considering the full clinical status of the patient, thus not replacing clinical judgment. Following data collection over a minimum of 12 valid days within a 21-day period, DreaMed Advisor Pro produces summary data and recommendations, which may also include advice on behavioral changes. These results are transmitted to the DMS for physician review, who can then approve, reject, or modify the suggestions before issuing an updated treatment plan. Non-clinical validation, including design testing and human factors studies, confirmed the device performs as intended. Retrospective clinical studies further demonstrated that the software's recommendations, even when based solely on SMBG data, were comparable in directional accuracy for basal, CR, and CF adjustments to those made by diabetes experts.

AI Regulatory Concerns

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Keywords

DreaMed Advisor ProInsulin therapy adjustmentType 1 diabetesDecision-support softwareContinuous Glucose Monitoring (CGM)Self-Monitoring Blood Glucose (SMBG)Insulin pumpBasal rateCarbohydrate ratioCorrection factor

Device Metadata

Submission Number
K191370
Company
DreaMed Diabetes Ltd
Panel
Clinical Chemistry
Product Code
N/A
Data Type
Signals
Clinical Function
Intervention
AI Function
Analysis
AI Subclass
quantification/feature localization

Relevant Clinical Questions

  • Q1. What are the specific criteria for a "valid day" of data beyond the minimum glucose readings and insulin records, particularly concerning meal data integration?; How does the DreaMed Advisor Pro algorithm weigh CGM data versus SMBG data when both are available for generating insulin therapy recommendations?; What were the quantitative metrics used to determine that the DreaMed Advisor Pro's recommendations were "significantly as good as" those of experts in the retrospective clinical study?; Could you elaborate on the types of "behavioral changes" the software might suggest and the evidence base supporting these non-pharmacological recommendations?; What safeguards or logic are in place if the inputted insulin pump settings are already outside the device's specified "acceptable range" for basal rate, CR, or CF at the time of analysis?

Risk Classification

ESL Analysis
FDA Device ClassII

FDA Class II via 510(k) pathway; IEC 62304 Class B (software safety classification); Authorized before §524B enforcement

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Cybersecurity Evidence

Powered by SBOMator™

Based on AI-generated device summaries, not the full FDA submission. Items not detected here may still be present in the complete submission package.

Cyber Score20/100
SBOM Evidence⚠ Not mentioned in summary
Cyber Risk Assessment⚠ Not mentioned in summary
Postmarket Plan✓ Detected in Summary
§524B ApplicableNo

Supply Chain BOM Evidence

Based on the CycloneDX / OWASP ECMA-424 xBOM ecosystem. Detection is from the AI-generated summary.

SBOMSoftware Bill of Materials
- Not detected
ML-BOMMachine Learning Bill of Materials(algorithm)
✓ Detected
SaaSBOMSoftware-as-a-Service Bill of Materials
- Not detected
HBOMHardware Bill of Materials
- Not detected
CBOMCryptography Bill of Materials
- Not detected
VDR/VEXVulnerability Disclosure Report / Vulnerability Exploitability eXchange
- Not detected
OBOMOperations Bill of Materials
- Not detected

Analysis:

• Analysis is based on the AI-generated device summary, not the full FDA submission package. Click "Analyze Full FDA PDF" below to scan the actual submission document.

• Evidence of ML-BOM detected in AI-generated device summary.

• This device was authorized before §524B took effect. Cybersecurity evidence requirements were less prescriptive at the time.

• Not detected in AI-generated device summary: SBOM, SaaSBOM, HBOM, CBOM, VDR/VEX, OBOM. These may be present in the full FDA submission.

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DreaMed Advisor Pro - DreaMed Diabetes Ltd | ESL FDA AI Device Intelligence