The second annual AGS Health Customer Partner Summit brought together top industry leaders, revenue cycle experts, and healthcare professionals for a day of impactful discussions and forward-thinking strategies that are reshaping the future of revenue cycle management (RCM). Topics ranged from artificial intelligence (AI) and automation to denial management and cybersecurity, highlighting the critical role of strategic partnerships, data-driven decision-making, and ongoing innovation. The event provided a unique opportunity for our customers to exchange insights, explore emerging trends, and learn from one another with the goal of optimizing RCM strategies to drive results and accelerate revenue growth.
Key takeaways from this year’s Summit include:
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2025 Revenue Cycle Trends: Navigating Challenges and Embracing Innovation
AGS Health CEO Patrice Wolfe hosted the opening session, highlighting three critical trends that will shape revenue cycle management in 2025:
- Margin pressures will continue: Healthcare organizations must focus on financial sustainability and operational efficiency.
- RCM complexity is increasing: Rising regulatory demands, payer challenges, and shifting workforce dynamics require agile and adaptable strategies.
- AI and automation are essential: Organizations must practically integrate AI to streamline processes and reduce administrative burdens.
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Addressing Key RCM Challenges: Industry Panel Discussion
Healthcare leaders from hospitals and health systems shared their perspectives on the biggest RCM challenges with in-depth discussions on managing change, addressing denial management, and exploring the role of generative AI. Key points included:
- Leadership and change management: Fostering a culture of open communication and continuous learning is critical to successful RCM transformations.
- Denials prevention and governance: Implementing task forces and data-driven strategies can help reduce revenue leakage.
- Generative AI and automation: AI-driven solutions such as natural language processing (NLP), robotic process automation (RPA), and AI governance structures are transforming how organizations manage revenue cycles.
- Rethinking workforce strategies: With only 3% of healthcare workers being Gen Z, organizations need to adapt recruitment, training, and retention strategies for a changing workforce.
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AI in Revenue Cycle: A Phased Approach to Global Outsourcing
A Texas health system shared its strategic approach to implementing AI and global outsourcing in its revenue cycle operations to drive significant efficiency gains and financial improvements. Beginning with outsourcing select projects in 2021, the system has scaled AI initiatives across multiple service lines and payers with a mindset of continuous improvement to achieve operational excellence and maintain clear accountability with strategic partners.
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Cybersecurity: A Non-Negotiable Priority
Cybersecurity remains a top concern for healthcare organizations to protect patient data, operational integrity, and financial stability. AGS Health’s proactive security measures reinforce that security must be built-in to help ensure that healthcare organizations proactively protect their data and infrastructure.
- Staying ahead of threats: With cyberattacks' sophistication rising, a proactive, multi-layered security approach is essential.
- Emphasizing AI-driven security: AI-powered tools are critical for threat detection, risk mitigation, and real-time security monitoring.
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Denial Management: Using Analytics and Automation to Improve Outcomes
Denials remain one of the biggest financial drains in healthcare, as $19.7 billion is spent annually on overturning denials, 50% of which originate from patient access and financial clearance issues. The Summit highlighted key strategies to combat this growing issue, underscoring the importance of front-end process improvements and emphasizing that AI-driven analytics and automation need to be leveraged to enhance denial prevention, improve reimbursement, and reduce administrative burdens.
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AI-Powered Coding: Transforming Clinical & Revenue Cycle Efficiency
Leaders from St. Joseph’s Health shared their coding automation journey, highlighting the benefits of AI-driven coding solutions and the importance of physician engagement in improving accuracy, efficiency, and financial performance. By allowing physicians to focus on patient care rather than administrative tasks, AI-powered coding has improved the clean claim rate from 65% to more than 90% and decreased charge lag by 36%, leading to faster reimbursements among other success metrics.
The strategies and insights shared during the Summit underscored the power of AI, coding automation, and data-driven decision-making in enhancing RCM and improving overall operational efficiency. We are honored by the opportunity to help healthcare organizations optimize the patient experience through technology and collaboration and look forward to hosting future events. Contact us to explore how we can work together to achieve your RCM objectives.
Christina Cussimanio
