Athenahealth has introduced more than 80 new and expanded artificial intelligence features integrated into its athenaOne platform. These updates focus on automating revenue cycle management (RCM) tasks to decrease manual administrative burdens for independent healthcare providers. Paul Brient, the company's chief product and operations officer, highlighted that the current generation of AI can effectively interpret data across the software stack to enhance service efficiency.

The newly launched capabilities include automated insurance selection, AI-based copay estimation, voice-enabled agents, express coding, and expanded tools for anomaly detection and payer surveillance. According to internal data, early deployment of these features has resulted in a 16% reduction in insurance-related denials and a 30% increase in coding-related denials. Additionally, AI-powered voice agents are now capable of completing prior authorization requests in less than one hour.

Heart & Vascular Care, a Georgia-based organization serving approximately 55,000 patients, is among the early adopters of these tools. Larami Oliver, the practice's vice president of RCM, noted that the AI features integrate smoothly into existing workflows. Oliver highlighted that ambient listening tools (technology that records and summarizes clinical encounters) have improved revenue cycle performance by generating comprehensive notes, which aids in coding support and visit documentation. By ensuring accurate insurance information is captured early, the practice has experienced reduced billing errors and improved operational efficiency. Brient stated that these features continue the company's mission to reduce financial friction for healthcare providers by increasing payment success rates.

Athenahealth has introduced more than 80 new and expanded artificial intelligence features integrated into its athenaOne platform. These updates focus on automating revenue cycle management (RCM) tasks to decrease manual administrative burdens for independent healthcare providers. Paul Brient, the company's chief product and operations officer, highlighted that the current generation of AI can effectively interpret data across the software stack to enhance service efficiency.

The newly launched capabilities include automated insurance selection, AI-based copay estimation, voice-enabled agents, express coding, and expanded tools for anomaly detection and payer surveillance. According to internal data, early deployment of these features has resulted in a 16% reduction in insurance-related denials and a 30% increase in coding-related denials. Additionally, AI-powered voice agents are now capable of completing prior authorization requests in less than one hour.

Heart & Vascular Care, a Georgia-based organization serving approximately 55,000 patients, is among the early adopters of these tools. Larami Oliver, the practice's vice president of RCM, noted that the AI features integrate smoothly into existing workflows. Oliver highlighted that ambient listening tools (technology that records and summarizes clinical encounters) have improved revenue cycle performance by generating comprehensive notes, which aids in coding support and visit documentation. By ensuring accurate insurance information is captured early, the practice has experienced reduced billing errors and improved operational efficiency. Brient stated that these features continue the company's mission to reduce financial friction for healthcare providers by increasing payment success rates.