Publications Database

Welcome to the new Schulich Peer-Reviewed Publication Database!

The database is currently in beta-testing and will be updated with more features as time goes on. In the meantime, stakeholders are free to explore our faculty’s numerous works. The left-hand panel affords the ability to search by the following:

  • Faculty Member’s Name;
  • Area of Expertise;
  • Whether the Publication is Open-Access (free for public download);
  • Journal Name; and
  • Date Range.

At present, the database covers publications from 2012 to 2020, but will extend further back in the future. In addition to listing publications, the database includes two types of impact metrics: Altmetrics and Plum. The database will be updated annually with most recent publications from our faculty.

If you have any questions or input, please don’t hesitate to get in touch.


Search Results

Onder, O., Cook, W., Kristal, M.M. (2021). "Does Quality Help the Financial Viability of Hospitals? A Data Envelopment Analysis Approach", Socio-Economic Planning Sciences.

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Abstract In this work, we analyze the financial viability of U.S. hospitals by investigating the impact of clinical and experiential quality as its determinants. We adopt Simar and Wilson's two-stage bootstrapped truncated regression approach. Specifically, we use data envelopment analysis (DEA) in the first stage to estimate efficiency scores. Then, we use truncated regression estimation with the double-bootstrap method to test the significance of the quality variables. Given the financial problems recently experienced by U.S. hospitals, we use readmission rates and costs as our outputs to investigate how well hospitals can lower readmission rates while minimizing their costs, since recent policy changes have tied a portion of hospital reimbursements to their readmission rates, making both variables crucial outcome goals. We find that both clinical and experiential quality are significantly associated with the higher financial viability of hospitals. Further, focusing on these two quality dimensions together has additional benefits.

Adam Diamant (2021). "Dynamic Multistage Scheduling for Patient-Centered Care Plans", Health Care Management Science , 24(2021), 827-84.

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Abstract We investigate the scheduling practices of multistage outpatient health programs that offer care plans customized to the needs of their patients. We formulate the scheduling problem as a Markov decision process (MDP) where patients can reschedule their appointment, may fail to show up, and may become ineligible. The MDP has an exponentially large state space and thus, we introduce a linear approximation to the value function. We then formulate an approximate dynamic program (ADP) and implement a dual variable aggregation procedure. This reduces the size of the ADP while still producing dual cost estimates that can be used to identify favorable scheduling actions. We use our scheduling model to study the effectiveness of customized-care plans for a heterogeneous patient population and find that system performance is better than clinics that do not offer such plans. We also demonstrate that our scheduling approach improves clinic profitability, increases throughput, and decreases practitioner idleness as compared to a policy that mimics human schedulers and a policy derived from a deep neural network. Finally, we show that our approach is fairly robust to errors introduced when practitioners inadvertently assign patients to the wrong care plan.

Diamant, A., Johnston, D. and Quereshy, F. (2019). "Why Do Surgeons Schedule Their Own Surgeries?", Journal of Operations Management, 63(5), 262-281.

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Abstract Surgery is a knowledge intensive, high‐risk professional service. Most hospitals give surgeons considerable autonomy in deciding which patients to operate on and when. In theory, this allows surgeons the operational flexibility to prioritize surgeries based on intimate knowledge of their patient's clinical needs. At odds with this strategy is the operations management literature, which favors the standardization and centralization of scheduling focused on achieving the efficient use of all resources, such as operating room capacity. Unfortunately, a little is known as to how surgeons customize their schedules and why they value such control. To this end, we conduct an exploratory qualitative study of the scheduling behavior of surgeons at a large Canadian teaching hospital. We identify significant differences between surgeons as to their priorities when scheduling. Two constructs are formative in surgeon decision‐making: the timeliness of treatment for their patients and idiosyncratic personal priorities. Our work has implications for achieving surgeon support for initiatives to standardize and centralize routines for patient scheduling. Accordingly, we formulate propositions that address the conditions under which such efforts will achieve the desired balance between flexibility and efficiency.