AI Solutions for Healthcare

What if the solution to healthcare’s toughest operational and financial challenges – from skyrocketing costs to rampant administrative inefficiencies — was already within reach? 

Generative AI is more than a disruptive technology—it’s a transformative force reshaping healthcare as a whole. By delivering extreme automation, enhancing resource efficiency, and improving accuracy, it’s redefining how the industry operates and makes decisions. 

Nowhere is this impact more evident than in healthcare payment integrity. From improving payment accuracy to uncovering fraud schemes, generative AI is revolutionizing how payers and providers address critical challenges. In one study, 90% of healthcare executives reported a positive ROI from generative AI investments, citing its ability to streamline workflows and enhance decision-making. However, the success of this technology depends not on the tools but on the expertise, collaboration, and vision of the people who thoughtfully implement, use and refine it. 

As 2025 unfolds, the focus on gen AI may shift to how it can dramatically redefine healthcare when combined with the right people and processes. A report from the National Academy of Medicine highlights the importance of equity, inclusion, and human rights in AI implementation, emphasizing that success depends on prioritizing these human elements. Such indicators reflect that breakthroughs will come not from technology alone, but from the collaboration of innovators, leaders, and users who bring AI to life. Those driving these advancements will ensure it delivers value not just to systems, but to everyone it serves. 

2024 in Review: Key Lessons Learned & Emerging Themes

In 2024, the conversation around artificial intelligence (AI) and generative AI in healthcare payment integrity reached new heights, driven by advancements in technology and a focus on proactive solutions. Events like the inaugural AI Summit brought together policy makers, executives from healthcare payer, agency and PBM organizations, and vendors who are shaping the future of healthcare to highlight real-world applications of AI within payment integrity. 

Throughout the year, distinct trends emerged as we engaged with healthcare leaders, listening to their business needs, challenges, and aspirations for a brighter future. Here’s what we heard and observed in 2024: 

  • Strengthening payer-provider relationships: AI-driven tools are fostering transparency and trust between payers and providers; by ensuring more accurate claims payments, editing processes and offering early monitoring and intervention, these solutions minimize payment denials or delays, reduce administrative workflows, and ensure more accurate payments.
  • “Shifting left” to ensure claims are accurate from the very start. Moving claims monitoring and reviews earlier in the process can prevent up to 40% of improper claims compared to post-payment audits. Advanced AI tools, such as those used for provider education on billing and coding best practices, enable proactive education and interventions that improve provider relationships and claim accuracy, reduce errors, and avoid costly disputes.
  • Refining fraud detection with proactive strategies: Fraud detection is shifting toward prepayment interventions and cost avoidance. AI’s ability to dynamically identify emerging fraud patterns and reduce overpayments is proving essential for promoting compliance and protecting healthcare costs.
  • Generative AI as a catalyst for optimization: Generative AI is transforming healthcare workflows by delivering unprecedented speed to insights, information and decision making. In a study from Google Cloud, 90% of healthcare workers reported optimism about its ability to reduce administrative costs and alleviate operational burdens. Gen AI-enabled workflows empower payment integrity teams to offload manual, labor intensive tasks often consuming a significant amount of time by their well experienced and trained professionals.
  • Persisting challenges in scaling AI adoption: Despite progress, obstacles remain; fragmented datasets, the need for stronger data governance, and ensuring ethical, explainable AI decisions still hinder scalability. Building transparency and trust in AI systems will be crucial for driving confidence and enabling full-scale implementation.   

At Codoxo, we see these trends reshaping the industry in measurable ways. Collaborative approaches powered by cutting-edge AI platforms have already achieved tangible outcomes, including fewer disputes, reduced overpayments, and improved operational efficiency. As these advancements take hold, they are paving the way for even greater innovation and impact in 2025. 

Innovations and Trends for 2025 

As generative AI continues to gain momentum, its role in healthcare payment integrity is expanding, with investments and real-world applications delivering measurable ROI. The astounding growth of the AI healthcare market underscores the confidence in its ability to transform healthcare payments, claims management, and cost containment. 

What To Expect: Key Developments for AI in Payment Integrity 

  • Expansion of self-auditing tools for providers: AI-driven self-auditing tools empower providers to identify and resolve potential issues before claims submission, improving provider satisfaction, reducing disputes and enhancing compliance. 
  • Enhanced claim accuracy and payment optimization: Prepay solutions that are powered by AI and generative AI, alongside post-payment approaches, will fuel improved efficiency by catching inaccuracies earlier, minimizing delays, and optimizing claims processes. 
  • Serving underserved populations: Generative AI is enabling smarter, data-driven decisions that address inequities in care for underserved populations, such as Medicaid beneficiaries. Tools that leverage automation, accurate medical records, and predictive analytics are setting the stage for more equitable outcomes. 

Paving the Way for Industry Advancement 

Generative AI is reshaping the foundation of healthcare payment integrity, driving measurable improvements in payment accuracy, operational efficiency, and fraud prevention. Yet, its true potential lies in the collaboration between technology and the people behind it. While AI provides powerful tools for efficiency and accuracy, the future of healthcare will be shaped by the people who guide its application, ensuring it serves the broader goals of better care and at a reduced cost. 

At Codoxo, we’re proud to do our part in fostering payment integrity innovation. The recently launched AI for PI Community, where leaders exchange ideas and build connections, is one way to help shape the future of healthcare payment integrity. Through sharing AI knowledge, forging meaningful partnerships, and propagating practical applications, industry stakeholders have a unique opportunity to redefine the way healthcare operates in 2025 and beyond – together. 

To join AI for PI Community, visit the AI for PI Community Group on LinkedIn and click “Request to Join.”