Post by arfanho7 on Feb 22, 2024 8:57:50 GMT
Download working paper hbs.edu faculty Pages item.aspx num Discretionary Task Ordering Queue Management in Radiological Services By Ibanez Maria Jonathan R. Clark Robert S. Huckman and Bradley R. Staats ABSTRACT—A long line of research examines how best to schedule work to improve operational performance. This literature traditionally takes the perspective of a central planner who can structure work and then expect individuals to execute tasks in a prescribed order.
In many settings however workers have discretion to deviate from the assigned order. This paper considers the operational implications of “discretionary task ordering ” defined America Cell Phone Number List as the task sequence resulting from an individual’s ability to select which task to complete next from a work queue. a total of more than . million radiological studies over a period of two and a half years we examine the conditions under which discretion is exercised and the performance effects of those choices. We find that on average deviations lead to slower read times.
Doctors tend to deviate more with experience and when they have more variety within their queue. Interestingly deviations tend to be more effective under those conditions yet the improvement is not enough to offset the average deviation penalty. To develop our results further we explore two common ordering heuristics shortest expected processing time and batching similar cases. We find that choosing the shortest cases first is particularly detrimental for speed.
In many settings however workers have discretion to deviate from the assigned order. This paper considers the operational implications of “discretionary task ordering ” defined America Cell Phone Number List as the task sequence resulting from an individual’s ability to select which task to complete next from a work queue. a total of more than . million radiological studies over a period of two and a half years we examine the conditions under which discretion is exercised and the performance effects of those choices. We find that on average deviations lead to slower read times.
Doctors tend to deviate more with experience and when they have more variety within their queue. Interestingly deviations tend to be more effective under those conditions yet the improvement is not enough to offset the average deviation penalty. To develop our results further we explore two common ordering heuristics shortest expected processing time and batching similar cases. We find that choosing the shortest cases first is particularly detrimental for speed.