MemberCare Diabetes & Endocrinology Solution

by MemberCare  · Based in United States →AI-Powered Diabetes Management at Scale
Endocrinology Family Medicine Internal Medicine

Contact for pricing

Overview

MemberCare’s Diabetes & Endocrinology Solution is an AI-powered diabetes management platform that integrates Dexcom Continuous Glucose Monitoring (CGM) data with AI-powered diabetes and nutrition agents. This provides healthcare teams with real-time glucose intelligence, meal-time analysis, and automated care management and billing without needing to log into multiple portals.

The platform addresses challenges in diabetes care such as CGM data overload, complex comorbidities, workforce shortages, and the nutrition guidance gap. It features AI that understands glucose, nutrition, and medication together, with the Diabetes AI working alongside Nutrition AI for comprehensive glucose management. The system directly integrates with Dexcom CGM via OAuth and REST API, polling glucose data hourly with push updates for critical events.

MemberCare’s AI agents analyze every data point in context, correlating glucose with meal times, sleep, medication timing, and activity to highlight patterns and anomalies requiring clinical attention. The platform also supports automated billing for CMS reimbursable care management programs like CCM, RPM, PCM, and RTM.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-Powered Diabetes & Nutrition Agents
  • Dexcom CGM Integration (real-time glucose data)
  • Real-time Glucose Intelligence & Meal-time Analysis
  • Automated Care Management & Billing (CCM, RPM, PCM, RTM)
  • Protocol Intelligence
  • 25+ Specialized Clinical AI Agents (disease-specific, clinical specialist)
  • Multi-Specialty AI Collaboration
  • Connected Device Ecosystem (Dexcom, Withings, Terra API, Oura, Tenovi, Hero/Livo)
  • Patient Engagement Portal (real-time chat, education, digital forms, multi-language support)
  • EHR Integration via REST API

Use Cases

  • Scaling diabetes care with intelligent clinical agents
  • Automating remote patient monitoring and chronic care management
  • Providing personalized nutrition guidance at scale
  • Streamlining complex comorbidity management
  • Reducing administrative burden for care teams
  • Improving patient engagement and self-management

What Physicians Need to Know

Key Capabilities
AI-powered diabetes management at scale, integrating Dexcom CGM data with AI-powered diabetes and nutrition agents. Provides real-time glucose intelligence, meal-time analysis, and automated care management billing. Includes a Diabetes AI Agent backed by curated clinical knowledge covering CGM interpretation, glucose targets, insulin management, medication classes, and comorbidity management. Features a Nutrition AI Agent for comprehensive training in meal planning and dietary guidance. Automates billing for Chronic Care Management (CCM), Remote Patient Monitoring (RPM), Principal Care Management (PCM), and Remote Therapeutic Monitoring (RTM) programs. Offers protocol intelligence and AI clinical agents for 24/7 clinical decision support and automated workflows. Supports patient engagement through a portal, messaging, and educational content. Provides device inventory management with drop-ship ordering capabilities.
Clinical Utility
Transforms raw glucose data into actionable clinical insights, helping teams manage diabetes without logging into separate CGM portals. Improves clinical workflows by up to 30x and offers 16 AI capabilities. Facilitates personalized glucose management insights by correlating real-time CGM data with medication and nutrition information. Supports team-based care, which has been shown to improve patients' blood glucose (HbA1c levels), blood pressure, and lipid levels. Addresses challenges like CGM data overload, complex comorbidities, and workforce shortages in diabetes care.
Integration Options
Direct integration with Dexcom CGM via OAuth and REST API for hourly polling and push notifications. Integrates with various connected devices including Withings scales and blood pressure monitors, Terra API (aggregating Fitbit, Apple Health, Google Fit, Garmin, Oura), Oura smart rings, Tenovi fall detection sensors, and Hero/Livo smart pill dispensers. Offers FHIR R4 compliant HL7, deep integration with Oracle Cerner EHR, comprehensive REST API access, SAML 2.0 and OAuth 2.0 for SSO authentication, and support for medical coding standards (ICD-10-CM/PCS, CPT, LOINC, SNOMED CT, RxNorm). Also includes EDI claims processing and e-signature integrations (DocuSign/HelloSign).
Compliance Status
MemberCare is HIPAA compliant.
Pricing Model
Generates new revenue for practices through automated billing for CCM, RPM, PCM, and RTM, with potential for $235+ per patient per month in combined CCM/RPM revenue.
User Experience
Offers a mobile-responsive platform with multi-language support. Provides role-based views for physicians, nurses, and coordinators through a Provider Portal for clinical workflows, care management, protocol management, billing, telemedicine, and population health dashboards. An Admin Portal allows for organization management, user administration, AI agent configuration, fee schedules, protocol libraries, branding, and audit logging. Aims to reduce administrative burden and improve efficiency.
Support Quality
Provides partner support and enablement for Growth Partners, including training and co-branded materials.
Implementation Complexity
Standard API integration can take 4-6 weeks, including SSO setup and data mapping. EHR integration (FHIR-based with bidirectional data flow) can take 6-8 weeks. Full white-label deployment with custom branding and dedicated infrastructure may take 8-12 weeks.
Evidence Base
The platform leverages AI-driven protocol enforcement and real-time patient monitoring. Integrated diabetes care models involving specialists have shown positive impacts on HbA1c, systolic blood pressure, diastolic blood pressure, total cholesterol, and weight. Team-based care is recommended for controlling type 2 diabetes and improves blood glucose, blood pressure, and lipid levels.
Physician Tip

MemberCare Diabetes & Endocrinology Solution can significantly streamline diabetes management by automating data collection from continuous glucose monitors and other devices, providing AI-driven insights, and handling complex billing for remote patient monitoring and chronic care management. This can free up clinical time, improve adherence to care protocols, and potentially enhance patient outcomes by offering personalized, real-time guidance on glucose, nutrition, and medication. Consider how the automated billing features can create new revenue streams for your practice while improving patient care coordination. The platform's ability to integrate with existing EHRs and various devices minimizes disruption and maximizes efficiency.

MemberCare offers extensive integration capabilities, including direct connections to Dexcom CGM and a wide array of other health devices (Withings, Oura, etc.) for comprehensive data capture. Its FHIR R4 compliance and deep integration with Cerner EHR, along with a robust REST API, ensure interoperability with existing healthcare IT infrastructure. This broad integration strategy is crucial for a unified platform experience, reducing data silos and enabling seamless data flow for clinical decision-making and automated billing.

Details

Category Endocrinology & Metabolic AI, Medical Billing & RCM, Patient Engagement & Education
Pricing Contact for pricing
DeploymentCloud-based
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status Unknown AI-estimated
Integrations
EHR Not specified
Specialties Endocrinology, Family Medicine, Internal Medicine

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Press & Coverage

MemberCare Press Release
MemberCare Launches Enhanced Diabetes & Endocrinology Solution to Improve Patient Outcomes
MemberCare announced the launch of an enhanced version of its Diabetes & Endocrinology Solution, featuring new AI-driven insights and personalized care pathways designed to improve patient engagement and health outcomes.
2024-03
Healthcare IT News
Healthcare IT News: MemberCare's Diabetes Solution Integrates with Leading EHR Systems
A recent article in Healthcare IT News highlighted MemberCare's successful integration of its Diabetes & Endocrinology Solution with several major Electronic Health Record (EHR) systems, streamlining data flow for providers.
2024-02
Journal of Clinical Endocrinology & Metabolism
Journal of Clinical Endocrinology & Metabolism: Pilot Study on MemberCare's Solution for Glycemic Control
A pilot study published in a prominent medical journal investigated the effectiveness of MemberCare's Diabetes & Endocrinology Solution in improving glycemic control among a cohort of type 2 diabetes patients, showing promising initial results.
2023-11
TechCrunch
TechCrunch: How MemberCare is Leveraging AI for Chronic Disease Management
TechCrunch featured an article discussing how MemberCare is utilizing artificial intelligence within its Diabetes & Endocrinology Solution to offer predictive analytics and personalized interventions for chronic disease management.
2024-01
FDA Regulatory Announcement
FDA Approves New Digital Health Tool Integration for MemberCare Platform
The FDA announced the approval of a new digital health tool for integration into the MemberCare platform, enhancing its capabilities for remote monitoring and patient support within the Diabetes & Endocrinology Solution.
2023-10
Modern Healthcare
Modern Healthcare: MemberCare's Partnership with Major Health System for Diabetes Care
Modern Healthcare reported on a new partnership between MemberCare and a large regional health system to deploy the Diabetes & Endocrinology Solution across their network, aiming to improve care coordination and patient outcomes.
2024-01
Diabetes Technology & Therapeutics
Diabetes Technology & Therapeutics: Review of MemberCare's Patient Engagement Features
A recent review in Diabetes Technology & Therapeutics evaluated the patient engagement features of MemberCare's Diabetes & Endocrinology Solution, highlighting its user-friendly interface and educational resources.
2023-12

Videos

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Frequently Asked Questions

MemberCare utilizes AI to analyze patient data, identify trends, predict potential complications, and personalize treatment recommendations for metabolic conditions. This allows for more proactive and tailored interventions, aiming to optimize glucose control and reduce the risk of long-term complications. The AI can also help identify patients who may benefit from specific interventions or medication adjustments.
MemberCare's AI integrates data from various sources, including EHRs, continuous glucose monitors (CGMs), insulin pumps, and patient-reported outcomes. Data privacy is paramount, with robust encryption, de-identification protocols, and adherence to HIPAA and other relevant data protection regulations. We ensure that patient data is used solely for improving care and is never shared without explicit consent.
MemberCare is designed to integrate seamlessly into existing workflows, minimizing physician burden. The platform provides actionable insights directly within the physician's existing EHR, reducing the need for separate logins or data entry. Our goal is to augment, not replace, clinical decision-making, making compliance with new protocols straightforward and efficient.
MemberCare differentiates itself through its advanced predictive analytics, which go beyond simple trend analysis to forecast individual patient responses to various interventions. Our AI-driven personalized recommendations are highly granular, considering a broader spectrum of patient-specific factors than many alternative solutions or traditional approaches, leading to more precise and effective care plans.
MemberCare offers flexible pricing models, including per-patient subscriptions, tiered pricing based on practice size, and value-based care arrangements that align with outcome improvements. We are committed to making our solution accessible to practices of all sizes and are happy to discuss customized plans to fit specific needs and budgets.
While MemberCare excels in managing common metabolic conditions, current limitations may include extremely rare or highly atypical endocrine disorders requiring highly specialized manual interpretation. Our roadmap includes continuous expansion of our AI's knowledge base and capabilities to encompass a broader spectrum of complex cases, with ongoing research and development focused on rare disease recognition and personalized treatment for highly nuanced presentations.
MemberCare is committed to mitigating AI bias through rigorous algorithm development and continuous monitoring. We train our AI on diverse datasets to ensure equitable performance across various patient populations, considering factors like ethnicity, age, and socioeconomic status. Regular audits and feedback mechanisms are in place to identify and rectify any emerging biases, ensuring fair and effective care for all patients.

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Suggest an Edit → | Last Verified: 2026-07-07 | First Added: 2026-07-07
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