Workflow GuideDiabetes Management

Monthly Diabetes Chronic Care Workflow & APCM Guide

Optimize Diabetes Management with our monthly chronic care check-in workflow. Improve A1C monitoring, insulin adherence, and APCM revenue via AI automation.

Effectively managing diabetic patients requires consistent touchpoints beyond quarterly office visits. This workflow outlines a structured monthly check-in process designed to optimize A1C levels, monitor insulin adherence, and screen for complications, all while maximizing APCM reimbursement through automated AI-driven patient engagement and phone outreach.

The Challenge

Manual monthly outreach for thousands of diabetic patients is labor-intensive, leading to missed A1C checks, poor medication adherence, and lost APCM revenue. Practices struggle to provide the high-frequency touchpoints needed to prevent hypoglycemia and long-term complications.

Step-by-Step Workflow

1

Automated Outreach Trigger

The AI system initiates contact via phone or SMS to all patients enrolled in the Diabetes APCM program exactly 30 days after their last clinical encounter or check-in.

Best Practices
  • Segment patients by A1C level to prioritize high-risk outreach
  • Use the patient's preferred language for AI voice interactions
Common Pitfalls
  • Waiting for the patient to call first
  • Inconsistent outreach intervals
2

Medication & Insulin Review

The AI conducts a structured interview regarding insulin dosages, injection site rotation, and any missed doses of GLP-1 or SGLT2 inhibitors over the last month.

Best Practices
  • Ask specifically about morning fasting glucose trends
  • Verify the patient has enough supplies until the next refill
Common Pitfalls
  • Assuming 100% adherence without direct questioning
  • Ignoring injection site lipohypertrophy concerns
3

Symptom & Complication Screening

Systematic screening for signs of diabetic neuropathy (foot numbness), retinopathy (blurred vision), or frequent hypoglycemic episodes that require provider intervention.

Best Practices
  • Include a standardized question about daily foot inspections
  • Flag any reports of 'dizzy spells' as high priority for the MD
Common Pitfalls
  • Failing to document specific negative findings
  • Missing the early signs of autonomic neuropathy
4

Lifestyle & Diet Reinforcement

AI provides automated reinforcement of ADA dietary standards, exercise goals, and lifestyle adjustments tailored to the patient's current BMI and activity level.

Best Practices
  • Keep advice simple and actionable
  • Focus on one lifestyle change per month to avoid burnout
Common Pitfalls
  • Using overly technical medical jargon
  • Providing generic advice not tailored to diabetic needs
5

Lab & A1C Scheduling

The system checks if the patient is due for their quarterly HbA1C, lipid panel, or microalbuminuria test and facilitates immediate scheduling if a gap is identified.

Best Practices
  • Sync with the EHR to see real-time lab expiration dates
  • Offer multiple time slots during the AI call
Common Pitfalls
  • Allowing A1C tests to lapse beyond 90 days
  • Forgetting to check for annual diabetic eye exams
6

CGM Connectivity Verification

For patients using Continuous Glucose Monitors, the AI verifies that data is syncing correctly to the clinic portal and helps troubleshoot basic connectivity issues.

Best Practices
  • Ask the patient if they are receiving 'low' alerts
  • Ensure the patient knows how to share their CGM report
Common Pitfalls
  • Assuming the provider has the data if the patient is wearing the sensor
  • Neglecting to ask about skin irritation from sensors
7

APCM Documentation & Billing

Automatically log the interaction duration, patient responses, and updated care plan notes into the EHR to satisfy Medicare’s monthly chronic care requirements.

Best Practices
  • Ensure the log clearly shows 20+ minutes of clinical time
  • Use specific APCM codes like G0511 for RHC/FQHC or 99490
Common Pitfalls
  • Vague documentation that fails an audit
  • Forgetting to update the comprehensive care plan

Expected Outcomes

1

Significant reduction in average HbA1C levels across the patient panel

2

100% compliance with quarterly diabetic lab monitoring and annual screenings

3

Increased monthly APCM revenue through automated, billable clinical time

4

Early detection of diabetic foot ulcers and retinopathy symptoms

5

Improved patient satisfaction and engagement with their diabetes care plan

Frequently Asked Questions

The AI system tracks every minute of interaction, documenting the clinical discussion, medication review, and care plan updates required to meet the 20-minute monthly threshold for billing.

The AI identifies the need for adjustment based on patient logs and alerts the provider immediately; however, all titration orders are finalized by the licensed clinician.

Our AI call center uses natural language processing over standard phone lines, requiring no apps, logins, or smartphone skills from the patient—they simply talk as they would to a nurse.

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Monthly Diabetes Chronic Care Workflow & APCM Guide | Tile Health