Dan Adelman is a leading expert in business analytics, helping firms and institutions deploy data and decision analysis to build world-class strategic and tactical management capabilities. He conducts research on foundations of the operations research field, as well as studies the link between operational performance metrics and financial performance. Recent projects include work on the electricity smart grid, gasoline supply chains, software-release planning, and healthcare delivery.
He leads the Healthcare Analytics Laboratory at Chicago Booth, in which teams of students work on real-world projects with providers to improve healthcare delivery through the analysis of large datasets. The lab has conducted projects in population health, hospital readmissions, bundled payment reimbursement, case mix optimization, hospital scheduling, nurse benchmarking, and others. He also serves on the faculty advisory board of the Harry L. Davis Center for Leadership. He publishes regularly and holds editorial positions in leading academic journals, including Area Editor for Operations Research, the flagship journal of the field. He teaches regularly in Chicago Booth's Executive MBA Program.
Adelman received a PhD in Industrial Engineering and Operations Research in 1997 from the Georgia Institute of Technology, where he also received a bachelor's degree in industrial engineering and a Master of Science in Operations Research. He is a recipient of the George B. Dantzig Prize for the best dissertation in any area of operations research and the management sciences that is innovative and relevant to practice.
Adelman joined the Chicago Booth faculty in 1997.
2019 - 2020 Course Schedule
||Approximate Dynamic Programming
||Healthcare Data Analytics
Healthcare Data Analytics; Performance Measurement and Benchmarking; Policy Analysis with OR in Energy and Healthcare Systems; Approximate Dynamic Programming; Revenue Management and Pricing Optimization; Supply Chain Management; Inventory, Production, and Logistics
D. Adelman. "Thousands Of Lives Could Be Saved In The US During The COVID-19 Pandemic If States Exchanged Ventilators.” Health Affairs, April 30, 2020.
It is thought that there are not enough mechanical ventilators in the U.S. for every patient who may need one during the coronavirus disease (COVID-19) pandemic. However, there is no analysis that measures the potential magnitude of the problem or proposes a solution. In this paper, I combine the pandemic forecasting model used by the federal government with estimates of ventilator availability from the literature to assess the expected shortage under various scenarios. I then propose that the federal government organize a national effort for ventilators to be exchanged between states to take advantage of the inter-temporal differences in demand peaks. I evaluate versions of this proposal, including use of the national stockpile, to estimate the number of lives that could be saved, and observe that it is potentially substantial. In the absence of other viable solutions, the government should begin this effort in earnest, and if not, preparations should be made for such coordination should the country face another pandemic in the future. [Editor’s Note: This Fast Track Ahead Of Print article is the accepted version of the peer-reviewed manuscript. The final edited version will appear in an upcoming issue of Health Affairs.]
D. Adelman. “An Efficient Frontier Approach to Scoring and Ranking Hospital Performance.” Working Paper, 2019.
D. Adelman and C. Uçkun. “Dynamic Electricity Pricing to Smart Homes.” 2019. (Forthcoming in Operations Research.)
C.E. Tabit, M.J. Coplan, K.T. Spencer, C.F. Alcain, T. Spiegel, A.S. Vohra, D. Adelman, J. Liao, and R.M. Sanghani. “Cardiology Consultation in the Emergency Department Reduces Re-hospitalizations for Low-Socioeconomic Patients with Acute Decompensated Heart Failure,” The American Journal of Medicine, 2017 Sep; 130(9):1112.e17-1112.e31.
Adelman, D. and A. Mersereau. "Dynamic Capacity Allocation to Customers Who Remember Past Service." Management Science, Volume 59, Number 3, March 2013, pp. 592-612.
Adelman D. "Dynamic Bid-Prices in Revenue Management," Operations Research, 55 (2007).
For a listing of research publications, please visit the university library listing