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AI-powered legacy code modernization and migration: modernize your tech stack, improve performance, and future-proof your systems with AI-driven efficiency
Legacy code is expensive to maintain, distracts resources, hinders innovation, and exposes your business to security risks. Traditional system re-writes demand significant time, cost, and human resources, and often fail to meet expectations. So, how can you modernize systems without the complexities of traditional reengineering? AI-augmented legacy system modernization allows organizations to upgrade systems more quickly and safely, reducing costs and unlocking innovation.
Revenue cycle management workflow automation
Revenue cycle management (RCM) is the foundation of healthcare finance, ensuring that organizations receive payment for the care they provide. Due to its complexity, this multistep process is prone to errors and inefficiencies, leading to delays in reimbursements and increased costs. RCM automation significantly reduces denial rates, eases administrative burdens, and improves the financial experience for both providers and patients.
AI-powered medical coding
Fast and accurate medical coding is essential for healthy revenue cycle management (RCM). Yet this process is prone to costly errors, prompting healthcare organizations to seek more effective, smarter methods. That’s where advanced technology like artificial intelligence (AI) comes in. When precision and speed matter, AI is the ultimate answer.
Denial management in medical billing
Revenue cycle management (RCM) is a foundational process in healthcare administration that handles the financial side of patient care. Denial management is a critical component of RCM that plays a direct role in maintaining a healthcare organization’s financial stability. If effective, it ensures healthcare providers are paid for their services accurately and on time, improves revenue recovery, and strengthens payer–provider relations. However, for many healthcare organizations, achieving efficient denial management remains a challenge.
General agentic design patterns implemented on OCI
Artificial intelligence (AI) agents have taken the business world by storm, and for good reason. These smart assistants plan ahead, fulfill tasks with various degrees of autonomy, and make sensible decisions on their own. If deployed and managed in the cloud, agentic systems effectively execute resource-intensive jobs and scale dynamically as business demand grows. Oracle Cloud Infrastructure (OCI) is the ideal platform to implement robust agentic design patterns that support highly functional and secure solutions.