Transforming Health with Data, Mind and Hand
July 27-29, 2019
MIT Sloan School of Management
Massachusetts General Hospital
Much like Jaume Plensa’s Alchemist, commissioned in honor of MIT’s 150th anniversary, marries numeric symbols with human effort as an homage to researchers and scientists, the INFORMS 2019 Healthcare Conference recognizes the many contributions of operations research and analytics professionals to the advancement of healthcare.
The 2019 conference, “Transforming Health with Data, Mind and Hand,” will explore how analytics, operations research and management science can transform medicine, healthcare policy and delivery, with particular emphasis placed on connecting the INFORMS community and healthcare professionals to impact practice.
Inspired by MIT’s motto, “Mens et Manus”—”mind and hand”— this collaborative effort proposed by MIT Sloan and Massachusetts General Hospital reflects our joint vision of using data analytics and research to impact medicine, healthcare policy, and delivery.
What to Expect from INFORMS Healthcare 2019?
Learn Best Practices
Advance Your Career
Take Something Back
- Medical decision making
- Computational optimization
- Patient wait time guarantees
- Effective use of electronic health records
- Delivering healthcare in developing countries
- New methods associated with defining value in healthcare
- Incorporation of O.R. and industrial engineering in healthcare delivery
- Intersection of healthcare and public health to provide a more “population” perspective on value
Contributions in synergistic fields are also welcome: healthcare policy, clinical decision making, global health, therapy and treatment delivery, public health, and health informatics.
Join Us at MIT this Summer!
Plan to Visit these Exhibitors
DataRobot helps enterprises embrace artificial intelligence (AI). Its automated machine learning platform harnesses hundreds of cutting-edge open source algorithms to discover the best machine learning models for every situation, empowering users of all skill levels to consistently make smarter, faster business decisions. The DataRobot platform automates, trains, and evaluates models in parallel, delivering AI applications at scale. DataRobot captures the knowledge, experience, and best practices of the world’s leading data scientists, delivering unmatched levels of automation and ease-of-use for machine learning initiatives. DataRobot provides the fastest path to AI success for organizations of all sizes. For more information, visit datarobot.com.
AMPL is an exceptionally powerful and natural tool for developing and deploying the complex optimization models that arise in diverse business and engineering applications. AMPL’s modeling language lets you formulate problems the way you think of them, while the AMPL interactive development system supports all of the best large-scale solvers to help you find good solutions fast. AMPL also features an integrated scripting language for automating analyses and building iterative optimization schemes; application programming interfaces for embedding your models within enterprise systems; and alternatives for deploying AMPL models as web-based collaborative decision-making tools.
The effective use of analytics is more important than ever for today’s organizations. The most effective analytics are coordinated, and the best and most complete set of coordinated analytic capabilities comes from SAS. Data integration, statistics, data and text mining, econometrics, and forecasting integrate deeply with operations research features like optimization, simulation, and scheduling. SAS helps organizations around the world build analytic models, populate them with relevant data and insights, communicate recommended decisions effectively, and surface these capabilities within accessible, business-oriented interfaces. See how SAS can help you understand the past and present, anticipate the future, and make better decisions.
JMP, a Division of SAS
JMP® data analysis software from SAS is the tool of choice for hundreds of thousands of scientists, engineers and other data explorers worldwide. JMP links dynamic data visualization with powerful statistics, in memory and on the desktop. The analytic capabilities of JMP reveal insights often hidden by raw tables of numbers or static graphs. JMP simplifies data access from various sources and accelerates data cleanup and processing with quick, reliable preparation tools. Sharing results and communicating discoveries is easy with the interactive visualization capabilities in JMP.