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News Releases
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How Technology and Data Analytics Are Revolutionizing Healthcare to Save Lives: Insights from a New Book
June 26, 2025
A groundbreaking new book authored by an international team of researchers reveals the transformative potential of data-driven decision-making in healthcare, promising to save lives and significantly reduce treatment times.
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Dimitris Bertsimas receives the 2025-2026 Killian Award
May 14, 2025
Dimitris Bertsimas SM ’87, PhD ’88, a leading figure in operations research, has been named the recipient of the 2025-26 James R. Killian Jr. Faculty Achievement Award. It is the highest honor the MIT faculty grants to its own professors.
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Q&A: A roadmap for revolutionizing health care through data-driven innovation
May 5, 2025
A new book coauthored by MIT’s Dimitris Bertsimas explores how analytics is driving decisions and outcomes in health care.
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Doctors looking to AI to advance medicine by Hartford Courant
September 11, 2023
Fourteen Hartford Health-Care doctors have projects they think could be accomplished, or completed more efficiently, if only artificial intelligence were applied to them.
Explore our research.
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Hartford HealthCare Improves Hospital Operations with Patient Outcome Predictions
Approved by INFORMS Journal on Applied Analytics, 2025
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Optimization Automates Emergency Department Nurse Scheduling at Hartford Hospital
Published by the Institute for Operations Research and the Management Sciences (INFORMS), 2025
Educational Content and Company Statements
How AI and Optimization Shaped a Landmark U.S. Transplant Policy
For decades, U.S. organ allocation policy relied on slow, simulation-heavy debate. Policymakers guessed how much weight to give competing priorities like saving the sickest patients versus minimizing organ transport. Then they ran expensive simulations, reviewed results, and repeated for years.
The Power of Optimization and AI in Healthcare
Healthcare is one of the most complex and high-stakes systems in the world. Every day, leaders must decide how to allocate limited resources, schedule specialized staff, and deliver life-saving care – all while ensuring fairness and equity. Traditionally, these decisions have relied on experience, intuition, and spreadsheets. But as healthcare grows in complexity, so does the need for data-driven, transparent, and fair decision-making. That’s where optimization and artificial intelligence (AI) come in.
Rethinking Organ Allocation Policy with AI & Optimization
Every year, thousands of patients wait for life-saving organ transplants. The U.S. transplant system must answer a deeply complex, ethically charged question: Who should receive a scarce organ first?