Workflow GuideRheumatology

Rheumatology Chronic Care Monthly Check-In Workflow

Optimize your rheumatology practice with this chronic care monthly check-in workflow for RA, lupus, and biologic monitoring using AI automation.

Managing chronic autoimmune conditions like RA and lupus requires consistent touchpoints between office visits to monitor disease activity and medication safety. This workflow outlines a standardized monthly check-in process tailored for rheumatology practices, leveraging AI-powered communication to ensure biologic compliance, flare detection, and APCM documentation without overwhelming clinica...

The Challenge

Rheumatology practices face 3-6 month wait times, making it difficult to monitor patients on immunosuppressants or detect flares early. Manual check-ins are time-consuming, leading to missed lab monitoring for biologics and lost revenue from uncaptured APCM activities.

Step-by-Step Workflow

1

Automated Outreach for Biologic Safety

AI triggers a monthly call or text to patients on biologics to screen for signs of infection, fever, or injection site reactions. This ensures high-risk patients are monitored more frequently than their quarterly visits.

Best Practices
  • Sync outreach with lab orders for CBC/CMP monitoring.
  • Use AI to flag 'stop medication' warnings if infection is reported.
Common Pitfalls
  • Failing to document the safety screen in the EHR.
  • Missing the window for pre-infusion screenings.
2

Disease Activity Scoring (RAPID3/SDAI)

Collect patient-reported outcomes (PROs) via automated voice or digital forms to track stiffness, pain, and functional ability. These metrics are critical for treat-to-target strategies in rheumatoid arthritis.

Best Practices
  • Integrate RAPID3 scores directly into the monthly APCM note.
  • Compare current scores to the previous month's baseline.
Common Pitfalls
  • Only asking 'how are you' instead of using validated tools.
  • Ignoring minor increases in morning stiffness.
3

Flare Assessment and Triage

Systematically ask about new joint swelling or systemic symptoms like butterfly rashes or photosensitivity. AI-driven triage identifies which patients need an urgent 'fit-in' appointment.

Best Practices
  • Set AI triggers to alert a nurse immediately if a flare is reported.
  • Provide clear instructions for 'bridge' dosing if protocol allows.
Common Pitfalls
  • Delaying flare response until the next scheduled visit.
  • Underestimating the impact of weather or stress on RA symptoms.
4

Medication Adherence and Refill Coordination

Verify that the patient is taking their DMARDs or biologics as prescribed and coordinate specialty pharmacy refills to prevent treatment gaps that lead to flares.

Best Practices
  • Identify barriers like high copays or specialty pharmacy delays early.
  • Automate the prior authorization renewal reminder 30 days out.
Common Pitfalls
  • Assuming the patient is compliant because they didn't call.
  • Forgetting to check if the patient has a current lab on file for the refill.
5

Lab and Imaging Compliance Check

Review if required monitoring labs, such as liver enzymes for methotrexate or TB screenings for biologics, have been completed and follow up on missing results.

Best Practices
  • Use AI to send automated 'lab due' reminders three days before the check-in.
  • Confirm the patient knows which lab facility to use.
Common Pitfalls
  • Prescribing high-risk meds without seeing recent lab data.
  • Relying on the patient to remember their lab schedule.
6

APCM Documentation and Billing

Consolidate the data from the automated check-in into a structured note that meets CPT 99490 or 99439 requirements for Principal Care Management.

Best Practices
  • Ensure at least 20 minutes of clinical staff time is tracked for complex cases.
  • Include the care plan update in the monthly summary.
Common Pitfalls
  • Failing to document the specific autoimmune conditions being managed.
  • Not capturing the time spent on specialty pharmacy coordination.

Expected Outcomes

1

Reduced incidence of untreated flares and emergency visits

2

100% compliance with biologic REMS and lab monitoring protocols

3

Increased APCM revenue through automated documentation

4

Higher patient satisfaction scores for RA and Lupus care

5

Decreased administrative burden on rheumatology nursing staff

Frequently Asked Questions

AI uses natural language processing to identify keywords like 'swollen' or 'stiff,' instantly triaging the call to a rheumatology nurse for clinical intervention.

Yes, by tracking adherence and disease activity monthly, the system generates the longitudinal data required by payers to justify therapy continuation.

Absolutely. The workflow follows American College of Rheumatology recommendations for regular disease activity monitoring and safety surveillance.

The system uses multi-channel follow-up, attempting contact via SMS and voice at different times before flagging the patient for manual staff outreach.

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Rheumatology Chronic Care Monthly Check-In Workflow | Tile Health