The Future of AI Enabled Health 2025

Context: AI in the health sector1 AI is being deployed throughout the health industry, yet obstacles prevent it being adopted at scale and realizing its transformative potential. Healthcare is a vast industry encompassing sectors that provide goods and services for patient care. AI has the potential to power a health revolution and so transform the entire ecosystem. Care providers will benefit from a range of AI solutions, from diagnostics and care provision to patient monitoring, all aimed at improving clinical outcomes. Augmented clinicians will have greater capacity to focus on patient relationships thanks to improved services and operations. Pharmaceutical firms can use AI to accelerate drug discovery and improve operations and supply chains. Healthcare payers and insurance providers are using AI to reduce costs and improve risk management, with the overall goal of offering higher-quality coverage at a lower cost to consumers. Medtechs can develop more efficient, personalized and patient-centred devices, e.g. by incorporating features such as AI-enabled preventive maintenance into their product life cycles. Public health agencies can improve resource planning and allocation, anticipate public health needs and execute programmes more effectively thanks to AI.1.1 Trends and use cases AI use cases for all stakeholders FIGURE 1 Source: Huddle, M., et al. (2023, June 22). Generative AI will transform health care sooner than you think. BCG. https://www.bcg.com/publications/2023/how-generative-ai-is-transforming-health-care-sooner-than-expectedValidated Early stage ConceptualPatientAccelerated drug dis covery and design Precision m edicine therapiesClinical- trial planning and executionPharm aceutic al firms Providers Patient screening and on- demand, personal c are Automat ed doc ument pr ocessing Medical image recog nition EHR interoperability Preventiv e healthcar e through predictiv e models Automation of claim processingPayersGenerative pr oduct des ignMedtec h Supply chain risk identific ation and process augmentation Servic es and operatio ns Synthetic data g eneration Inventory trac king and restocking Data sharing/inte roperability GenAI cloud s ervices Public health s urveillance Resource allocation and usePublic health agenc ies The Future of AI-Enabled Health: Leading the Way 7