Automated vs Manual APCM Enrollment for Athenahealth

Manual report filtering in athenaOne often misses patients with fragmented chronic condition documentation or outdated problem lists.

AI algorithms scan unstructured data and historical codes to ensure 100% identification of eligible APCM candidates across the database.

Requires staff to spend hours on phone tag and manual chart updates, diverting focus from in-office patient care.

AI handles the entire outreach and consent capture process, requiring zero manual labor from the practice team.

Relies on staff manually checking boxes and ensuring the correct APCM codes are added to the claim shell without errors.

Automated workflows ensure all documentation requirements are met before triggering the billing rule in the athenaOne engine.

Manual outreach is often inconsistent, leading to missed follow-ups and confusing messaging for the patient.

AI provides consistent, professional communication and immediate answers to common APCM enrollment questions 24/7.

Limited by headcount; scaling services requires hiring more coordinators or diverting clinical resources from other departments.

Automated systems can process thousands of athenahealth records and outreach calls simultaneously with zero overhead increase.

Manual entry into athenaOne is prone to typos and inconsistent formatting in the 'Social History' or 'Notes' sections.

Direct API integration ensures that consent and enrollment status are written back to specific athenahealth fields instantly.