Workflow GuideAtrial Fibrillation

AFib Monthly Chronic Care Check-In Workflow & Guide

Optimize Atrial Fibrillation chronic care with our monthly check-in workflow. Improve anticoagulation adherence and stroke prevention via AI automation.

Effective Atrial Fibrillation management requires more than annual visits; it demands consistent monthly touchpoints to monitor anticoagulation adherence, rate versus rhythm control efficacy, and evolving stroke risk factors. This workflow leverages AI-powered call handling to ensure no patient falls through the cracks, maintaining high-quality APCM standards while reducing administrative burden.

The Challenge

Practices often struggle with the high volume of monthly check-ins required for AFib patients, leading to missed anticoagulation dose adjustments, unmonitored post-ablation recurrences, and incomplete CHA2DS2-VASc reassessments that increase stroke risk and hospital readmissions.

Step-by-Step Workflow

1

Automated Outreach for Medication Adherence

AI call systems contact patients to confirm adherence to DOACs or warfarin. The system identifies patients who missed doses or have concerns about side effects like bruising, flagging them for immediate clinical review to prevent stroke or bleeding events.

Best Practices
  • Schedule calls at patient-preferred times
  • Automate reminders for INR blood draws
Common Pitfalls
  • Failing to document missed doses in the EHR
  • Ignoring minor bruising reports
2

Symptom Assessment and Rate/Rhythm Review

The automated check-in queries the patient for new-onset palpitations, shortness of breath, or fatigue. This data helps clinicians determine if current rate or rhythm control strategies remain effective or if a medication adjustment or cardioversion is necessary.

Best Practices
  • Use a standardized scale for fatigue levels
  • Link symptoms to recent medication changes
Common Pitfalls
  • Assuming palpitations are always benign
  • Not correlating symptoms with heart rate data
3

Post-Ablation Recurrence Monitoring

For patients within the 12-month post-ablation window, the workflow specifically screens for early signs of AFib recurrence. AI captures patient-reported data from wearable monitors to ensure timely intervention before the condition progresses back to persistent AFib.

Best Practices
  • Prioritize calls during the 3-month blanking period
  • Ask about chest discomfort or cough
Common Pitfalls
  • Discontinuing monitoring too early post-procedure
  • Dismissing short episodes of tachycardia
4

Anticoagulation and CHA2DS2-VASc Update

The system prompts patients for updates on new diagnoses like hypertension or diabetes. This triggers an automatic update to their CHA2DS2-VASc score, ensuring that anticoagulation therapy is initiated or adjusted according to the latest ACC/AHA guidelines.

Best Practices
  • Verify any new medications from other providers
  • Re-evaluate score after any surgical procedure
Common Pitfalls
  • Using outdated risk scores for therapy decisions
  • Overlooking age-related risk transitions
5

APCM Documentation and Billing Capture

Every AI-driven interaction is transcribed and structured to meet APCM (Ambulatory Palliative Care Management) and MIPS requirements. This ensures that the practice can bill for chronic care coordination while maintaining a complete audit trail of patient communication.

Best Practices
  • Ensure time-based logs are accurate
  • Cross-reference documentation with quality measures
Common Pitfalls
  • Incomplete logging of non-face-to-face time
  • Missing documentation for care plan changes
6

Red Flag Escalation for Immediate Care

If a patient reports high-risk symptoms such as chest pain or neurological deficits, the AI system immediately transfers the call to a live clinical staff member or provides emergency instructions, ensuring patient safety during the monthly monitoring process.

Best Practices
  • Define clear 'hot-transfer' criteria
  • Train staff on emergency AFib protocols
Common Pitfalls
  • Delayed response to TIA symptoms
  • Lack of a clear escalation path for after-hours calls

Expected Outcomes

1

Increased DOAC and warfarin medication adherence rates

2

Reduced stroke and major bleeding incidents through proactive monitoring

3

Improved APCM billing revenue and documentation accuracy

4

Higher patient satisfaction via consistent, low-friction communication

5

Early detection of AFib recurrence in post-ablation patients

Frequently Asked Questions

The AI identifies keywords related to bleeding or missed doses and immediately escalates those calls to the clinical team while providing basic adherence reminders for routine check-ins.

Yes, the AI-captured data and call summaries are designed to be exported directly into your EHR, ensuring that CHA2DS2-VASc updates and medication changes are reflected in the patient record.

No, it supplements them. The monthly check-in identifies which patients are stable and which require an urgent in-office evaluation, optimizing the cardiologist's schedule for high-acuity cases.

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AFib Monthly Chronic Care Check-In Workflow & Guide | Tile Health