Workflow GuideOncology

Oncology Chronic Care Risk Stratification Workflow

Optimize Oncology APCM revenue and patient outcomes with our AI-driven risk stratification workflow for survivorship and active treatment monitoring.

Effective risk stratification in oncology is the cornerstone of sustainable Chronic Care Management (CCM) and Advanced Primary Care Management (APCM). By categorizing patients based on treatment intensity, comorbidity burden, and survivorship phase, practices can proactively manage symptoms like cancer-related fatigue and nausea while capturing previously missed reimbursement opportunities.

The Challenge

Oncology practices often struggle to identify which patients qualify for APCM because cancer is frequently viewed as an acute rather than chronic condition. This leads to gaps in symptom monitoring between infusion visits and high ER utilization for manageable side effects.

Step-by-Step Workflow

1

Identify Qualifying Comorbidities

Use AI to scan EHR records for secondary chronic conditions such as diabetes or hypertension alongside the primary cancer diagnosis to satisfy APCM requirements and identify high-risk profiles.

Best Practices
  • Focus on conditions that complicate chemotherapy toxicity management
Common Pitfalls
  • Overlooking stable chronic conditions that still qualify for APCM billing
2

Segment by Treatment Phase

Categorize patients into active treatment, maintenance, or long-term survivorship tiers. This determines the frequency of automated AI check-in calls and the depth of symptom screening required.

Best Practices
  • Align tiers with NCCN survivorship guidelines for post-treatment monitoring
Common Pitfalls
  • Treating long-term survivors as low-risk without monitoring for late-onset effects
3

Deploy AI-Powered Symptom Screening

Implement automated phone protocols to screen for critical symptoms like neuropathy, pain levels, and nutritional status. AI handles the high-volume outreach that manual staff cannot scale.

Best Practices
  • Schedule calls 48-72 hours post-infusion to catch peak toxicity
Common Pitfalls
  • Using generic scripts that don't account for specific chemotherapy regimens
4

Establish Clinical Escalation Thresholds

Define specific physiological and psychological triggers, such as uncontrolled emesis or high pain scores, that require an immediate hand-off from the AI system to an oncology nurse.

Best Practices
  • Integrate logic for 'red flag' symptoms like neutropenic fever
Common Pitfalls
  • Setting thresholds too high, delaying intervention for manageable side effects
5

Automate Documentation for APCM Billing

Utilize AI call logging to automatically track minutes spent on patient education and coordination. This ensures a robust audit trail for CPT 99490 or APCM reimbursement codes.

Best Practices
  • Ensure every call is mapped to a specific care plan goal in the EHR
Common Pitfalls
  • Failing to document non-face-to-face time spent on care coordination
6

Review Social Determinants of Health (SDOH)

Incorporate SDOH screening into the stratification process to identify patients needing transportation assistance or financial counseling for high-cost biologics and oral oncolytics.

Best Practices
  • Use AI to identify patterns in missed appointments related to transport
Common Pitfalls
  • Assuming clinical risk is the only factor in patient outcomes

Expected Outcomes

1

Increased APCM and CCM billing capture

2

Reduced emergency department visits for symptom management

3

Improved adherence to NCCN survivorship guidelines

4

Enhanced patient satisfaction through proactive outreach

5

Streamlined nurse triage workflows and reduced burnout

Frequently Asked Questions

Yes, many cancers are managed as chronic conditions. When a patient has two or more chronic conditions expected to last at least 12 months, they qualify for APCM/CCM reimbursement.

AI automates the high-volume outreach needed to gather patient-reported outcomes, allowing the practice to stratify risk in real-time based on current symptom severity.

Absolutely. Our workflows follow HIPAA security standards and integrate NCCN survivorship monitoring protocols directly into the automated call scripts for clinical accuracy.

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Oncology Chronic Care Risk Stratification Workflow | Tile Health