Core Insights - Artificial Intelligence (AI) and Value-Based Care (VBC) are transformative forces in the healthcare sector, aiming to enhance precision medicine, control rising healthcare costs, and improve patient experiences and outcomes. However, both face challenges in implementation within existing healthcare systems [1] Group 1: AI as an Integrator - A key strategy for VBC is the formation of integrated healthcare systems that enhance value through seamless coordination of multidisciplinary opinions and community services. However, data diversity and fragmentation hinder this integration, negatively impacting healthcare quality. AI can act as a "real integrator" across data sources and systems, utilizing generative AI models to extract and interpret vast amounts of heterogeneous data [2] Group 2: Enhancing Alternative Payment Models - Changing payment methods is fundamental to enhancing value in healthcare. Various Alternative Payment Models (APMs) exist, but their adoption in developed countries like the U.S. is slow due to uncertainties regarding patient intervention needs and the transparency of necessary services. AI can address these issues by predicting optimal intervention timings and identifying cost drivers in patient care journeys, thereby promoting the use of APMs [4] Group 3: Patient-Centric Outcome Measurement - Traditional healthcare outcome measurements often do not align with what patients truly care about. AI can improve the efficiency of gathering patient feedback and standardize subjective feedback into actionable decision-support tools. This shift may lead to more frequent use of patient-centered outcome measures in health technology assessments, influencing the pricing of new drugs and devices based on the value they provide to patients [5][6] Group 4: Overcoming Fragmentation Challenges - To realize the potential of AI in healthcare, it is essential to overcome data fragmentation and ensure diverse datasets are available for training models that deliver real patient value. AI models must be validated using recognized standards across diverse populations, and optimizing payment for AI products in a value-based system is crucial [8] Group 5: Mutual Empowerment of AI and VBC - The diverse AI tools and applications in healthcare present a risk of fragmentation during implementation. VBC offers a strategic framework to systematically deploy AI capabilities, creating a high-value healthcare system. Thus, AI and VBC empower each other, working together to fulfill their revolutionary promises and usher in a much-needed new era in healthcare [9]