Workflow GuideModMed (Modernizing Medicine)

ModMed APCM Risk Stratification Workflow Guide

Optimize APCM risk stratification in ModMed (Modernizing Medicine). Identify chronic patients and automate billing workflows for specialty practices.

Specialty practices using ModMed (Modernizing Medicine) often leave APCM revenue on the table by focusing solely on acute episodes. This workflow guides you through risk-stratifying patients with chronic conditions like arthritis or IBD within the EMA and gGastro environments, utilizing AI-driven call automation to bridge the gap between specialty care and chronic management.

The Challenge

ModMed's specialty-specific workflows often lack native automated triggers for APCM risk stratification, causing clinics to miss eligible patients who have multiple chronic conditions requiring high-complexity care coordination and documentation.

Step-by-Step Workflow

1

Data Mining EMA for Chronic ICD-10 Codes

Utilize ModMed's Analytics or Report Manager to export a list of patients with specific chronic ICD-10 codes (e.g., M19.90 for osteoarthritis or K50.90 for Crohn's). Filter for patients seen within the last 12 months to identify the initial APCM candidate pool.

Best Practices
  • Focus on conditions that require specialty-specific monitoring
  • Filter by 'Active' status in the ModMed Problem List
Common Pitfalls
  • Ignoring patients with only one specialty code who may have other chronic issues documented by PCP
2

AI-Powered Patient Screening Outreach

Deploy AI call handling to contact the identified candidate pool. The AI performs a structured screening to identify secondary chronic conditions and social determinants of health (SDOH) that increase their risk profile, logging the results for clinical review.

Best Practices
  • Program the AI to ask about medication adherence for specialty drugs
  • Ensure the AI identifies the patient's primary care provider for coordination
Common Pitfalls
  • Using generic scripts that don't reference the patient's specific specialty condition
3

SDOH and Risk Factor Documentation

Import AI-captured screening data into the ModMed 'Social History' or 'Specialty Templates'. Focus on documenting barriers to care, such as transportation or financial instability, which are critical for CMS APCM risk tiering requirements.

Best Practices
  • Use ModMed's built-in SDOH screening tools where available
  • Map AI responses to specific fields in the EMA 'History' tab
Common Pitfalls
  • Failing to link SDOH factors to the clinical risk level
4

Clinical Risk Tiering in EMA

Providers review the aggregated data within the ModMed 'Virtual Scribe' or 'Note' section. Assign a risk tier (Low, Medium, High) based on the number of chronic conditions and the complexity of the specialty treatment plan.

Best Practices
  • Create a custom APCM macro in EMA for rapid documentation
  • Ensure the provider signs off on the risk assessment during a telehealth or office visit
Common Pitfalls
  • Assigning risk levels without documented clinical justification in the chart
5

APCM Billing Code Configuration

Configure the ModMed Practice Management (PM) system to include APCM-specific CPT codes. Ensure these codes are linked to the stratification documentation to prevent claim denials and facilitate cross-specialty care coordination billing.

Best Practices
  • Set up automated alerts in ModMed for monthly APCM billing cycles
  • Verify that the billing provider is correctly identified for APCM services
Common Pitfalls
  • Using standard E/M codes instead of the specific APCM management codes
6

Cross-Specialty Care Coordination Log

Use the ModMed 'Collaboration' or 'Direct Messaging' features to share the risk stratification and care plan with the patient's primary care team, ensuring the 20 minutes of non-face-to-time is accurately tracked for APCM compliance.

Best Practices
  • Automate the sending of the care plan via the ModMed portal
  • Log all inter-provider communications in the patient's 'Communications' tab
Common Pitfalls
  • Neglecting to document the time spent on coordination outside of the patient visit

Expected Outcomes

1

Increased APCM billing capture rates for specialty-specific chronic cases

2

Improved patient risk visibility within the EMA environment

3

Reduced administrative burden through AI-driven patient screening

4

Enhanced compliance with CMS APCM documentation standards

5

Better coordination between specialty and primary care providers

Frequently Asked Questions

While ModMed tracks ICD-10 codes, it does not natively flag APCM eligibility based on CMS criteria. You must use reporting tools or integrated AI to filter and stratify the patient population.

AI tools can perform initial screenings and push the data into ModMed via API or by generating a document for the 'Incoming Documents' queue, which staff can then attach to the patient record.

Specialties managing long-term conditions like Gastroenterology (IBD), Rheumatology (Arthritis), and Dermatology (Chronic Psoriasis) see the highest revenue potential from APCM.

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ModMed APCM Risk Stratification Workflow Guide | Tile Health