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Beyond "One-Size-Fits-All": Designing a CGM Workflow That Fits Your Practice

Writer: Jodi Hughes
Jodi Hughes
2 hours ago
4 min read

 


Thank you to everyone who joined us for our recent webinar, "Remote Diabetes Management: Designing a CGM Workflow That Fits Your Practice."


If you weren't able to attend live — or if you're looking for a quick refresher to share with your clinical team — we’ve summarized the key insights and takeaways below. You can also watch the webinar on-demand here.

Why Modern Diabetes Care Requires Continuous Workflows

With Continuous Glucose Monitors (CGMs) now recommended right from the time of diagnosis in the ADA Standards of Care, adoption rates are higher than ever. However, traditional diabetes care has historically relied on reactive, appointment-based visits:


When care happens only during scheduled appointments, critical trends and dangerous out-of-range patterns can go unnoticed for months. Continuous monitoring transforms this model into a proactive, continuous care engine.


The Proven Impact: Data from ADA Scientific Sessions


At the American Diabetes Association's (ADA) Scientific Sessions, SweetSpot Chief Medical Officer Dr. Ralph Oiknine presented compelling clinical data showing what happens when practices maintain consistent remote touchpoints:

  • Risk Reduction: 71.8% of those identified as high risk shifted into a lower risk zone within 12 months of program enrollment.

  • Long-Term Trajectory: At 6 months, 15% of the highest-risk group reached the lowest risk zone. By 12 months, that number jumped to 55%.

  • Patient Confidence & Engagement: An April 2026 SweetSpot patient survey revealed average diabetes management confidence rose from 6.8 to 8.7 out of 10, with 78% of patients reporting improved daily self-management.


What’s Holding Practices Back?


During our session, we polled attendees on their biggest operational hurdles. Unsurprisingly, every single barrier resonated:

  1. Staff Capacity: Lacking internal bandwidth to review streams of incoming data.

  2. Technology Fatigue: Logging into multiple manufacturer portals and attempting to consolidate scattered reports.

  3. Billing Complexity: Performing interim care reviews without a streamlined method to capture reimbursable codes.

  4. Patient Engagement: Onboarding and keeping patients connected consistently.

However, because no two practices share the exact same bandwidth or staffing makeup, there is no universal, single model for remote care.

4 Real-World Case Studies: Spectrum of Remote Care Models

During the presentation, SweetSpot VP of Operations Christina Pamelar walked through distinct ways endocrinology practices are structuring their workflows:

Model 1: Centralized Triage in a Large Multi-Provider Practice

  • The Setup: Large clinic with multiple providers and clinical support staff.

  • Workflow: Designated an MA-level staff member to review a centralized population dashboard daily (this tool is critical). Using risk-filtering tools, the MA triages patients by clinical need and flags high-risk trends for provider review. A secondary staff member manages data troubleshooting and connectivity.

  • Key Takeaway: A centralized platform allows providers to focus clinical time strictly on actionable cases without drowning in device portals.

Model 2: Streamlining In-Office Visits for Solo Practitioners

  • The Setup: Single-provider practice with a small support team.

  • Workflow: Brought all CGM patients into a unified dashboard to eliminate multi-portal navigation during office visits.

  • Key Takeaway: Solved immediate workflow delays in person, simplified CPT 95251 tracking for data reviews, and naturally identified patients who needed more frequent outreach — creating a seamless bridge to full Remote Patient Monitoring (RPM).

Model 3: Targeted, Flexible In-House RPM

  • The Setup: Multi-provider group running an internal RPM program with an in-house Certified Diabetes Care and Education Specialist (CDCES).

  • Workflow: Rather than placing all patients into RPM indefinitely, they use population data to dynamically enroll high-need patients and offboard those who have stabilized and achieved target metrics.

  • Key Takeaway: Ensures specialized clinical support is delivered to the right patients at the right time while maintaining panel scalability. Made possible by a unified dashboard and filtering tools.


Model 4: Full-Service Hybrid Partnership

  • The Setup: Single-provider practice with limited internal bandwidth.

  • Workflow: Partnered with SweetSpot to support operational infrastructure for a RPM program. The SweetSpot patient engagement team handles consent and onboarding, while dedicated SweetSpot diabetes educators perform routine monthly data reviews and draft treatment recommendations for provider review and approval.   

  • Key Takeaway: Keeps the provider at the center of clinical care decision-making without requiring the practice to hire additional full-time internal staff to run a successful RPM program.


Building an impactful remote diabetes care model doesn't require a complete overhaul overnight. Whether your immediate goal is to:

  • Consolidate multi-portal views into one clean interface,

  • Capture interim CPT 95251 reviews more consistently, or   

  • Launch a high-touch RPM program with external clinical support,

You can start with a targeted subset of patients and scale as your capacity evolves.   

Interested in exploring how a centralized platform or clinical support partnership could work for your practice? Watch the webinar on-demand or reach out directly at jhughes@aegisdigitalhealth.com to schedule a tailored workflow consultation or request our clinical coding guides.


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SweetSpot partners with endocrinology practices to provide virtual CGM monitoring and enhanced patient care.


SweetSpot combines a centralized software platform for managing diabetes device data, such as data from CGMs and insulin pumps, with wrap-around clinical support services. SweetSpot’s virtual team of Certified Diabetes Care and Education Specialists (CDCES) performs monthly CGM data reviews and coordinates with providers and patients to facilitate treatment plan changes. By actively managing and remotely reviewing CGM data between patient visits, we ensure patients receive timely treatment adjustments to improve glycemic control and patient outcomes.


Additionally, SweetSpot’s automated capture of reimbursable care events optimizes CPT code utilization, unlocking new revenue streams for practices and making our partnerships both clinically effective and financially profitable.

 
 
 

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