Discretionary task ordering: Queue management in radiological services

Maria Ibanez*, Jonathan R. Clark, Robert S. Huckman, Bradley R. Staats

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

Work scheduling research typically prescribes task sequences implemented by managers. Yet employees often have discretion to deviate from their prescribed sequence. Using data from 2.4 million radiological diagnoses, we find that doctors prioritize similar tasks (batching) and those tasks they expect to complete faster (shortest expected processing time). Moreover, they exercise more discretion as they accumulate experience. Exploiting random assignment of tasks to doctors' queues, instrumental variable models reveal that these deviations Erode productivity. This productivity decline lessens as doctors learn from experience. Prioritizing the shortest tasks is particularly detrimental to productivity. Actively grouping similar tasks also reduces productivity, in stark contrast to productivity gains from exogenous grouping, indicating deviation costs outweigh benefits from repetition. By analyzing task completion times, our work highlights the trade-offs between the time required to exercise discretion and the potential gains from doing so, which has implications for how discretion over scheduling should be delegated.

Original languageEnglish (US)
Pages (from-to)4389-4407
Number of pages19
JournalManagement Science
Volume64
Issue number9
DOIs
StatePublished - Sep 2018

Keywords

  • Behavioral operations
  • Decentralization
  • Delegation
  • Discretion
  • Experience
  • Healthcare
  • Learning
  • Queue
  • Scheduling

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research

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