Oncology APCM Billing & Enrollment FAQ | Tile Healthcare

Yes. The AI is programmed to follow cancer-related pain scales and medication adherence checks. If a patient reports pain levels exceeding their personalized threshold or requests frequent refills of palliative medications, the system triggers an immediate alert to the triage nurse or oncology practice manager.

Immunotherapy patients are at risk for unique immune-related adverse events (irAEs). Our AI performs targeted screening for signs of colitis, pneumonitis, or endocrine changes between office visits, ensuring that the 20-minute APCM requirement is met through high-value clinical monitoring that prevents emergency department visits.

The AI monitors for unintentional weight loss, malnutrition, and signs of depression or anxiety, which are common in cancer care. By identifying these issues early, the AI helps the practice coordinate referrals to oncology dietitians or social workers, all of which count toward the monthly APCM care coordination time.

Every interaction handled by our AI is transcribed and time-stamped, specifically documenting the clinical nature of the call. This creates a detailed log of the minutes spent on care coordination, symptom monitoring, and insurance prior-authorization support, providing a clear audit trail that justifies the billed APCM codes.

Billing APCM during a global period for cancer surgery is complex. However, if the care management is for a condition unrelated to the surgery, or if the oncologist is not the operating surgeon, billing is often permissible. Our AI helps flag these timelines to prevent duplicate billing and ensure compliance with CMS rules.

Cancer patients often face high-cost drug authorizations and complex benefit designs. Our AI assists by gathering necessary clinical data from the patient to support prior authorization requests, reducing the administrative burden on your financial counselors while contributing to the care coordination time required for APCM billing.

Yes. For patients enrolled in clinical trials, the AI can monitor protocol adherence and track adverse events as defined by the study. This ensures patient safety and data integrity while allowing the practice to bill for the extensive care management time required to support trial participants.

Our AI is designed to integrate seamlessly with major oncology platforms like OncoEMR, Aria, and Flatiron. It pushes symptom scores and call logs directly into the patient chart, allowing oncologists to review patient status during the actual encounter without searching through multiple systems.

Safety is paramount in oncology. If a patient reports red-flag symptoms such as a neutropenic fever or sudden shortness of breath, the AI immediately identifies the urgency and uses a warm-transfer protocol to connect the patient to a live oncology nurse or directs them to the nearest emergency department.