Dean Shev
Dean Shev: Tech Transformation, Innovation and Strategic Leadership in Healthcare.
Vancouver, Canada
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As an experienced Business Analytics and Strategic Leader, Dean Shev drives transformational changes in the healthcare system. Currently, Dean serves on the Advisory Council for the Harvard Business Review and has previously delivered strategic consulting to top organizations in Canada. As the Founder of Shev Labs Nanotechnologies, Dean is a seasoned innovator and entrepreneur. He holds an M.B.A. from the University of Victoria and a Master of Science from the University of Ottawa.
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Revolutionizing Hospital Care: The Role of AI Automation
In my presentation, I will focus on how AI automation is revolutionizing hospital care by enhancing efficiency, accuracy, and patient outcomes. I will begin by discussing how hospitals are leveraging advanced algorithms and machine learning to analyze extensive medical data, aiding healthcare professionals in diagnosing diseases, predicting patient outcomes, and tailoring treatment plans to individual needs.
Next, I will highlight how automation is streamlining hospital administrative tasks, such as patient scheduling and billing, which allows medical staff to concentrate more on direct patient care. I will also cover the implementation of AI-driven tools for real-time patient monitoring within hospitals, enabling timely interventions and reducing the likelihood of readmissions.
Finally, I will explore the future implications of AI technology in hospital settings, emphasizing its potential to enhance the quality and accessibility of healthcare services. Throughout the presentation, I will provide examples and case studies from hospitals that have successfully integrated AI automation to demonstrate its impact on improving patient care and operational efficiency.
Ethics of AI in Healthcare
Join me for a compelling 60-minute tech talk on the "Ethics of AI in Healthcare," where I will delve into the ethical challenges and opportunities presented by the integration of Artificial Intelligence in the medical field. In this session, I'll cover key topics such as patient privacy, data security, and algorithmic bias, emphasizing the importance of transparency and accountability in AI systems. I'll highlight the need for robust regulatory frameworks to ensure that AI technologies are implemented in ways that are equitable and safe. Through real-world examples and recent research, I aim to provide insights on how ethical considerations can shape the responsible development and application of AI, ultimately enhancing patient care while upholding essential human values.
DevFest Surrey 2024 - Responsible AI Sessionize Event
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