An exact approach for tactical planning and patient selection for elective surgeries

We take into account a range of constraints related to availability of resources (human and material), multiple (possibly conflicting) objectives, as well as regulatory and legal controls. We assume similar patients in each surgical unit are grouped together and each patient waiting to have surgery is classified to a given surgery group that has a given resource demand, including duration of surgery and length of stay in the hospital. We present a multiple objective mixed integer programming model of this problem including some computational results. This model can provide insightful information to decision makers in the hospital whether they can meet their KPIs with their current resources and also the effect of increasing resources on various KPIs. Computational results show that most solutions can be obtained in a reasonable amount of time in multiple scenarios which is a significant result from computational and practical point view.