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Soroush Saghafian Headshot
 
Soroush Saghafian
December 6, 2023, Opinion: "Chasing efficiency in theory is excellent, but in action, the outputs don’t always reflect the goals. My research team and I are seeing this firsthand…
Soroush Saghafian Headshot
 
Soroush Saghafian
September 16, 2023, Video: "Finalist video for the 2023 INFORMS Public Sector Operations Research (PSOR) Best Video Competition."…
David Cutler Headshot
 
David Cutler
July 6, 2023, Paper: "The artificial intelligence (AI) revolution has started in earnest. Barely a day goes by without learning of new ways to use AI, including in health care.…
Soroush Saghafian Headshot
 
Soroush Saghafian
2023, Paper: "The cohort included 1036 patients who received kidney transplantation, 224 (22%) experienced 30-day readmission. The machine learning algorithm was able to predict…
Soroush Saghafian smiling facing the camera in a shirt and tie
 
June 2023. GrowthPolicy’s interviewed Soroush Saghafian, Associate Professor of Public Policy at…
Soroush Saghafian smiling facing the camera in a shirt and tie
 
Soroush Saghafian
2023, Paper: "Addressing hospital emergency department (ED) overcrowding is a critical challenge for many healthcare systems worldwide. Many hospitals (including our partner…
Soroush Saghafian smiling facing the camera in a shirt and tie
 
Soroush Saghafian
April 21, 2023, Interview: "The increasing availability of data, and the development of algorithms capable of making sense of that data, are hugely important to the creation of…
Matthew Baum photo
 
March 2023. GrowthPolicy’s interviewed Matthew Baum, the Marvin Kalb Professor of Global…
Soroush Saghafian smiling facing the camera in a shirt and tie
 
Soroush Saghafian
December 2022, Paper: "As a major public health crisis, the opioid epidemic caused over 556,000 deaths in the U.S. between 2000 and 2020. To control the epidemic, the Centers for…
Soroush Saghafian smiling facing the camera in a shirt and tie
 
Soroush Saghafian
December 2022, Paper: "There is a growing amount of evidence that machine learning (ML) algorithms can be used to develop accurate clinical risk scores for a wide range of medical…