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https://ceur-ws.org/Vol-2216/Invited.pdf
The Challenges and Opportunities for Healthcare
Recommendation Systems in a Rapidly Evolving Health Data
Ecosystem
Keynote
Mohammad M. Ghassemi
Ghamut Corporation
Cambridge, MA
ghassemi@mit.edu
ABSTRACT BIO
Existing Electronic Health Record (EHR) systems are rich, and often Dr. Mohammad M. Ghassemi is the co-founder and President of the
highly heterogeneous, sources of data. In the last ten years, there Ghamut Corporation (winner of the 2017 MassChallenge), where
has been ample interest in how the growing volume of EHR data he leads the development of tools, datasets, and AI methods for
may be used to better monitor and support decisions at the bed- a variety of health and behavioral science problems. He holds a
side, with several of the largest industrial players now entering the Ph.D from the Massachusetts Institute of Technology in computer
arena (Google, Apple Microsoft and Amazon). But EHR systems are science, and will be joining the faculty of Computer Science and En-
designed to mitigate clinical liability and facilitate billing, not to gineering as an Assistant Professor in the Fall of 2019 at Michigan
support algorithm development. As the most well-resourced data State University (MSU). As a student, Mohammad was the recipient
companies continue their push into healthcare domain, EMR sys- of several academic distinctions including the Gates-Cambridge,
tems will inevitably change to accommodate algorithm designers. and Goldwater Fellowships. He is currently regarded for his work
In this talk, we will present several case studies that highlight the in creating several of the world’s largest open access intensive
challenges and opportunities that are available in this rapidly evolv- care databases, a wearable A.I. for social coaching, and a platform
ing data ecosystem, and the import role that academic researchers that intelligently connects university students to improve campus
can play in forging the future of recommendation systems in health. culture. He holds multiple US patents, has published a book on
the secondary use of health data (with over 100,000 downloads),
CCS CONCEPTS and has over 20 peer-reviewed publications in venues including:
• Information systems → Information systems applications; Rec- the Proceedings of the Association for the Advancement of Artifi-
ommender systems; Information retrieval; • Human-centered com- cial Intelligence, Nature Scientific Data and Science Translational
puting → Human computer interaction (HCI); • Applied comput- Medicine. He regularly works with industry (Allstate, Estee Lauder,
ing → Health care information systems; Health informatics; Thomson Reuters, and Samsung) to guide innovation strategy, and
built data-powered technologies.
KEYWORDS
Recommender systems, Health recommender systems; Multi-criteria
rating; Health promotion
ACM Reference Format:
Mohammad M. Ghassemi. 2018. The Challenges and Opportunities for
Healthcare Recommendation Systems in a Rapidly Evolving Health Data
Ecosystem: Keynote. In Proceedings of the Third International Workshop on
Health Recommender Systems co-located with Twelfth ACM Conference on
Recommender Systems (HealthRecSys’18), Vancouver, BC, Canada, October 6,
2018 , 1 page.
HealthRecSys’18, October 6, 2018, Vancouver, BC, Canada
© 2018 Copyright for the individual papers remains with the authors. Copying permit-
ted for private and academic purposes. This volume is published and copyrighted by
its editors.