Ethical and social implications of Learning Health Systems

Ethical and social implications of Learning Health Systems from data to knowledge and from knowledge to practice

Learning heath systems systematically aggregate and analyze data to generate new knowledge that is then applied in practice. They exemplify the current trend in health to share and analyze not only electronic data, but also the knowledge gained from networked health information systems.

In so doing, learning health systems navigate the gray area between research, quality improvement, and clinical care, raising ethical and pragmatic questions about governance and the role of the public in decision-making.

This presentation examines the U.S. public’s comfort with being a part of big data networks that support learning health systems, and considers the ethical and social implications of current efforts at the University of Michigan to create a “Knowledge Grid,” an infrastructural innovation that would move “big data” to “big knowledge.”

Date: Monday 9th April, 2018
Time: 12:00pm – 1:00pm
Location: B104

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