Delivering better • Precision health – Integrate genomics, precision patient care medicine, and customer-treatment technologies to enable an individualized approach to care, from the proactive diagnoses of illnesses using a personal genome to tailored wellness and prevention interventions. • Decision support – Leverage AI to provide better context for physicians’ diagnostic and therapeutic decisions (e.g. diagnostic imaging interpretation, clinical diagnostics, and risk and disease prediction) that significantly improve clinician productivity and accuracy. • Virtual care – Make virtual encounters possible between health assistants and outpatients—anytime, anywhere— with augmented reality and cognitive computing, as well as interpretation of speech and body language. • Medical chart review – Augment staff chart reviews with AI to reduce effort, improve quality, improve risk score accuracy, and identify care gaps that can be closed. Driving more • Clinicalworkflows– Streamline clinical workflows efficient operations to minimize administrative tasks, reduce wait times, and optimizing and maximize the time a provider has with patients reimbursement at the point of care. • Outcomes-based business models – Shift from selling products to selling outcomes by digitally delivering dynamic, personalized care and by replacing and/or augmenting drugs with physician-prescribed clinical applications. • Moreefficientresourcedeployment – Transform health organizations into efficient, consumer- and patient-friendly enterprises by automating processes, streamlining the supply chain, forecasting demand, optimizing staff scheduling, managing patient throughput, and managing capacity. • AI-augmented and automated operations – Reduce the manual effort to execute administrative tasks, such as benefit coding, denials management, and authorization review through automated intake, robotic process automation, and AI-augmented decision-making. INTELLIGENT HEALTHCARE THE RACE TO REINVENT HEALTHCARE 7