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Dan Adelman

Dan Adelman

· Charles I. Clough, Jr. Professor of Operations Management

University of Chicago · Operations Management

Active 1992–2022

h-index3
Citations52
Papers64 last 5y
Funding
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About

Daniel Adelman is a leading expert in Business Analytics, helping companies deploy data and decision analysis to build world-class strategic and tactical management capabilities. By integrating real world data with analytical models, and bringing structure and discipline to decision and control processes, firms can achieve higher profits with lower risk, and attain competitive advantage. Adelman's research is based on interactions with firms from a variety of industries, including internet services, chemical distribution, airlines, third party logistics, fiber-optics manufacturing, semiconductor manufacturing, oil, and healthcare. He leads the Healthcare Analytics Laboratory at Chicago Booth, working with teams of doctoral and MBA students on a portfolio of projects with major healthcare institutions to optimize clinical, operational, and financial outcomes.

Research topics

  • Nursing
  • Medicine
  • Psychology
  • Operations management
  • Engineering
  • Internal medicine
  • Business

Selected publications

  • Operative Team Familiarity and Specialization at an Academic Medical Center

    Annals of Surgery · 2022-07-06 · 4 citations

    article

    OBJECTIVE: To propose a framework for quantification of surgical team familiarity. BACKGROUND: Operating room (OR) teamwork quality is associated with familiarity among team members and their individual specialization. We describe novel measures of OR team familiarity and specialty experience. METHODS: Surgeon-scrub (SS) and surgeon-circulator (SC) teaming scores, defined as the pair's proportion of interactions relative to the surgeon's total cases in the preceding 6 months were calculated between 2017 and 2021 at an academic medical center. Nurse service-line (SL) experience scores were defined as the proportion of a nurse's cases performed within the given specialty. SS, SC, and nurse-SL scores were analyzed by specialty, case urgency, robotic approach, and surgeon academic rank. Two-sample Kolmogorov-Smirnov tests were used to determine heterogeneity between distributions. RESULTS: A total of 37,364 operations involving 150 attending surgeons and 222 nurses were analyzed. Median SS and SC scores were 0.08 (interquartile range: 0.03-0.19) and 0.06 (interquartile range: 0.03-0.13), respectively. Higher margin SLs, senior faculty rank, elective, and robotic cases were associated with greater SS, SC, and nurse-SL scores ( P <0.001). CONCLUSIONS: These novel measures of teaming and specialization illustrate the low levels of OR team familiarity and objectively highlight differences that necessitate a deliberate evaluation of current OR scheduling practices.

  • A Systematic Review of Operative Team Familiarity on Metrics of Efficiency, Patient Outcomes, Cost, and Team Satisfaction

    Annals of Surgery · 2022 · 23 citations

    • Medicine
    • Nursing

    OBJECTIVE: This study seeks to systematically review the current literature on how surgical team familiarity relates to metrics of operative efficiency. BACKGROUND: The operating room (OR) is a complex environment involving numerous multidisciplinary interactions that must interface precisely to achieve a successful outcome. METHODS: A systematic search of the PubMed database was prospectively registered in the National Institute for Health Research PROSPERO database (CRD 42020181046) and performed according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Exposure variable was team familiarity and outcome measures included operative efficiency, patient outcomes, costs, and/or team satisfaction. RESULTS: Of 1123 articles screened, 15 studies involving 24,340 operations met inclusion criteria. All studies were limited to an individual specialty, procedure, or both. The effects of more familiar teams were most pronounced in decreasing operative times [standardized mean difference of -0.51 (95% confidence interval: -1.00, -0.02), P =0.04], whereas the reported impacts on patient clinical outcomes, material waste, and team satisfaction were much more heterogenous. CONCLUSIONS: Improving OR team familiarity is associated with superior operative efficiency and may be associated with other favorable measures. Further inferences are limited by literature heterogeneity, yet could be a novel focus for improving OR performance.

  • Measuring Healthcare Worker Satisfaction in the Operating Room

    Annals of Surgery Open · 2022 · 2 citations

    • Operations management
    • Nursing
    • Business

    MINI-ABSTRACT: This report highlights the efficacy of using a 5-point Likert scale to measure healthcare worker satisfaction in the operating room. This assessment is significant because it is a critical step in assessing a novel scheduling apparatus that hopes to improve team satisfaction, operative efficiency, and operating room waste.

  • Surgical team familiarity and waste generation in the operating room

    The American Journal of Surgery · 2021 · 23 citations

    • Medicine
    • Nursing
    • Internal medicine
  • 64 Photodynamic therapy of atherosclerotic plaque: Will it work?

    Radiotherapy and Oncology · 2000-05-01

    articleSenior author
  • Preference reversal and the independence axiom

    OhioLink ETD Center (Ohio Library and Information Network) · 1992-01-01 · 20 citations

    articleOpen access1st authorCorresponding

    In his article "Dynamic Consistency and Non-Expected Utility '

Frequent coauthors

  • Kiran K. Turaga

    Yale Cancer Center

    4 shared
  • Hunter D. D. Witmer

    Yale University

    4 shared
  • Çağla Keçeli

    University of Chicago

    3 shared
  • Ankit Dhiman

    Augusta University

    2 shared
  • Mihai Giurcanu

    University of Chicago

    2 shared
  • Alonzo D. Jones

    University of Chicago

    2 shared
  • Alison M. Laffan

    University of Chicago

    1 shared
  • Jeffrey B. Matthews

    1 shared

Awards & honors

  • George B. Dantzig Prize
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