Abstract
In outpatient chemotherapy, nurses administer the drugs in two steps. In the frst few
minutes of each appointment, a nurse prepares the patient for infusion (drug administration). During the remainder of the appointment, the patient is monitored by
nurses and if needed taken care of. One nurse must be assigned to prepare the patient
and set up the infusion device. However, a nurse who is not busy setting up may
simultaneously monitor up to a certain number of patients who are already receiving infusion. The prescribed infusion durations are signifcantly diferent among the
patients on a day at a clinic. We formulate this problem as a multi-criterion mixed
integer program. The appointments should be scheduled with start times close to
patients’ ready times, balanced workload among nurses, few nurse changes during
appointments, and few nurse full-time equivalent (FTE) assigned to the schedule of
the day. As the number of nurse FTEs is an output of the model rather than a fxed
input, the clinic can use the nursing capacity more efciently, i.e., with less labor
cost. We develop a 3-stage heuristic for fnding criterion points with the minimum
weighted average deferring time of appointments for the minimum feasible number of nurse FTEs or a desired value above that. By not constraining the number of
chairs or beds, we can fnd solutions with better (dominating) criterion points. Drug
preparation, oncologist visit, and the laboratory test can be scheduled based on the
drug administration appointment start time. Thus, the drug administration resources
are efciently used with desirable performance in taking the interests and requirements of various stakeholders into consideration: patients, nurses, oncologists, pharmacy, and the clinic.
Original language | English |
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Pages (from-to) | 935–963 |
Number of pages | 29 |
Journal | OR Spectrum |
Volume | 42 |
Issue number | 4 |
Early online date | 27 Jul 2020 |
DOIs | |
Publication status | Published - 01 Dec 2020 |
Keywords
- Health services, Integer programming, Multi-criterion, Optimization, Scheduling, Chemotherapy
ASJC Scopus subject areas
- Management Science and Operations Research