The healthcare payer and provider industry is gradually adopting generative artificial intelligence (GenAI) solutions across its value chain. The industry is shifting from identification to an implementation stage - creating new ecosystems between technology vendors and end users aligning technology adoption with the organization’s vision and values. Given the nature of technology and healthcare data, some aspects or use cases are more strongly governed by regulators than others.

This has accelerated product development and adoption in the administrative, operational and financial categories while limiting the growth of clinical solutions. Looking at the evolving landscape of technology and regulations, this study quantified the savings that can be derived from implementing GenAI-based solutions across some of the most pressing segments of the payer and provider value chains, including horizontal capabilities such as interoperability and cybersecurity. If implemented thoughtfully and in line with regulatory guidance, it has the potential to address the most pressing industry challenges and create an opportunity to generate more than $300 billion in gains across the patient journey by 2029.

• How can the adoption of GenAI in the healthcare space create new growth opportunities for technology vendors and end users?
• How can healthcare organizations leverage GenAI to accelerate product development and innovation in the administrative, operational, and financial areas?
• What are the potential growth gaps in the adoption of GenAI in clinical solutions and how can they be addressed?