Paul Tang Nationally recognized physician executive with a passion for disruptive innovation throughout his 25 years’ executive leadership experience in healthcare information technology within medical groups, health systems, and corporate settings. Dr. Tang has directed innovation and technology teams in provider organizations, academic institutions, corporate research organizations, and product development organizations. Most recently, he led the creation, development, deployment, and evaluation of the application of artificial intelligence to physician point-of-care solutions integrated within an electronic health record system. He also led a corporate enterprise-wide design team. He has chaired numerous federal and private sector advisory and professional association groups related to health information technology and policy. Specialties: AI-enabled health information technology, medical informatics, disruptive design thinking, electronic health record systems, personal health records, online disease management, health information technology public policy, quality measurement, clinical decision support systems, personalized health care, cognitive computing, big data analytics.
Paul Tang Nationally recognized physician executive with a passion for disruptive innovation throughout his 25 years’ executive leadership experience in healthcare information technology within medical groups, health systems, and corporate settings. Dr. Tang has directed innovation and technology teams in provider organizations, academic institutions, corporate research organizations, and product development organizations. Most recently, he led the creation, development, deployment, and evaluation of the application of artificial intelligence to physician point-of-care solutions integrated within an electronic health record system. He also led a corporate enterprise-wide design team. He has chaired numerous federal and private sector advisory and professional association groups related to health information technology and policy. Specialties: AI-enabled health information technology, medical informatics, disruptive design thinking, electronic health record systems, personal health records, online disease management, health information technology public policy, quality measurement, clinical decision support systems, personalized health care, cognitive computing, big data analytics.