- About
- Courses
- Research
- Computational Social Science
- Critical Data Studies
- Data Science
- Economics and Information
- Education Technology
- Ethics, Law and Policy
- Human-Computer Interaction
- Human-Robot Interaction
- Incentives and Computation
- Infrastructure Studies
- Interface Design and Ubiquitous Computing
- Natural Language Processing
- Network Science
- Social Computing and Computer-supported Cooperative Work
- Technology and Equity
- People
- Career
- Undergraduate
- Info Sci Majors
- BA - Information Science (College of Arts & Sciences)
- BS - Information Science (CALS)
- BS - Information Science, Systems, and Technology
- MPS Early Credit Option
- Independent Research
- CPT Procedures
- Student Associations
- Undergraduate Minor in Info Sci
- Our Students and Alumni
- Graduation Info
- Contact Us
- Info Sci Majors
- Masters
- PHD
- Prospective PhD Students
- Admissions
- Degree Requirements and Curriculum
- Grad Student Orgs
- For Current PhDs
- Diversity and Inclusion
- Our Students and Alumni
- Graduation Info
- Program Contacts and Student Advising
Join us at 4 p.m. Wednesday, February 10, for a virtual Info Sci Colloquium by Megh Marathe, who presents "The Impact of Datafication on Healthcare."
Megh Marathe is a PhD candidate in the School of Information at the University of Michigan. Their research is situated at the intersection of human-computer interaction (HCI), disability studies, and science and technology studies. Their work has led to eight first-authored publications at top HCI venues, including a CHI best paper award; and earned prestigious awards including a Microsoft Research fellowship. Marathe holds a master's degree in computer science from the University of Toronto.
Title: "The Impact of Datafication on Healthcare"
Abstract: What happens when lived experience is converted into data? This talk critically examines the effects of such “datafication” in healthcare. Data-driven systems such as clinical decision-support tools often implement a narrow definition of wellbeing. Through the case of epilepsy, I show that these narrow definitions lead to adverse health outcomes and prolonged delays in the provision of medical attention and resources to marginalized people. Healthcare professionals can (and do) circumvent the harmful effects of datafication for individual patients, but an overloaded health system provides little opportunity to do so. These findings advance our understanding of how experts navigate data-driven systems and of the gap between theory and practice in medicine. They also highlight opportunities for information systems to reduce healthcare disparities in service of a more just society.