Caesar Michael C W, Hakim Zaki, Ierasts Terra
The executive director of the Data & Implementation Science Team at University Health Network (UHN), an adjunct faculty member with the Institute of Health Policy, Management and Evaluation (IHPME) at the University of Toronto, co-chair of the UHN Enterprise Data Governance Committee and a member of the Advisory Board for the Applications of AI in Health Certificate (IHPME) with the University of Toronto. Michael can be reached by e-mail at
An adjunct lecturer at the University of Toronto and an AI/analytics strategy consultant. He is focused on building strategies and identifying use cases for advanced analytics solutions to enable a data-driven healthcare ecosystem.
Healthc Q. 2020 Apr;23(1):20-27. doi: 10.12927/hcq.2020.26143.
Artificial intelligence offers the promise to revolutionize the way healthcare is delivered in the future. To capitalize on the value of advanced analytics and artificial intelligence, organizations must focus on building organizational capabilities. This report shares an operating model for insight and change in healthcare comprising six key components: analytics technology and operations, data governance, change and automation, advanced analytics and insights, analytics literacy and strategy and relationship management. The adoption of the proposed model will build core capabilities that will enable organizations to connect data to decision making and realize value from its investment in advanced analytics.
人工智能有望在未来彻底改变医疗保健的提供方式。为了利用先进分析和人工智能的价值，各组织必须专注于建设组织能力。本报告分享了一个医疗保健领域洞察力与变革的运营模型，该模型包含六个关键组成部分：分析技术与运营、数据治理、变革与自动化、先进分析与洞察力、分析素养与战略以及关系管理。采用所提议的模型将构建核心能力，使各组织能够将数据与决策联系起来，并从其在先进分析方面的投资中实现价值。
