Mr.Alexander Kolker

Because of the inevitable variability of the patient census (uncertainty), the planned (budgeted) staffing is usually: (i) either not enough to deliver proper quality of care or (ii) is excessive, resulting in idle time for some employees and/or pay under cont ...

Practical application of Linear Optimization method of finding the lowest cost (or maximal revenue) solutions for the units with limited amount of available resources, such as nursing or lab work hours or length of stay. Setting up the LO problems using the Ex ...

This webinar is focused on a special case of LO called Integer Linear Optimization for finding the cost optimal staffing with the various requirements for scheduled mandatory and sliding days off. Staff scheduling is a typical but difficult and time-consuming ...

One of the special aspects of many health care organizations/units is that the use of profit as the main metric of success is inappropriate. This raises essential questions about how the performance of such entities can be assessed. The core idea is that a set ...

Discrete event simulation (DES) is the most powerful methodology used in process data analytics. The following examples will be covered: Outpatient clinic: centralized or separate locations? Outpatient clinic: non-steady-state operations, Outpatient Clini ...

What is discrete event simulation modelling for  resource utilization and staffing & scheduling problems Why and when to use simulation modelling for  resource utilization and staffing & scheduling problems Input information required by a typical simulatio ...

Policymakers and payers have grown increasingly frustrated with fee-for-service payment system. Fee-for-service rewards volumes and encourages silos and fragmentation of care. There are a lot of efforts that seek to shift provider payments to value-based appro ...