With the MCG Cite AutoAuth, payers and providers can rely upon an automated, evidence-based system to facilitate the prior authorization process. The web-based interface, provided through the payer’s portal, makes it easy for a provider to document and support treatment requests.

MCG Health, part of the Hearst Health network, helps healthcare organizations (in both the government and private sectors) implement informed care strategies that proactively and efficiently move patients toward health. MCG’s transparent assessment of the latest research and scholarly articles – along with data analysis – gives patients, providers, and payers the vetted information they need to feel confident in their care management decisions.

Improve patient access by accelerating time to care while reducing FTE resource spend on manual, repetitive tasks involved with obtaining prior authorizations.

Adonis fosters unparalleled revenue outcomes that improve efficiency, reduce costs, and increase revenue. Our partnerships are forged in the commitment to long-term financial success. Whether you're a provider with an internal billing team or you outsource your RCM operation, we're prepared to meet you where you are to improve your billing and collections outcomes.

• Fully Outsourced - Adonis handles all of the Prior Authorization workflows for your team and pushes the data back to the necessary systems
• Highly automated - Prior Authorizations are performed behind the scenes with minimal intervention from staff
• Machine Learning Backed Automations - Our machine learning models are trained on your Prior Authorization data, leading to efficiency gains and greater automations over time

• Adonis automates the bulk of authorization tasks, allowing your staff to prioritize high-value work and complex follow-ups.
• Adonis maintains up-to-date payer rules, eliminating the need for staff members to regularly visit payer sites or commit guidelines to memory.
• Adonis leverages machine learning to deliver exponentially increasing efficiency gains over time.