• 2019-07
  • 2019-08
  • 2019-09
  • 2019-10
  • 2019-11
  • 2020-03
  • 2020-07
  • 2020-08
  • 2021-03
  • br AM According to the previous statement


    AM. According to the previous statement, the following must be
    Eq. (2) ensures there is no continuity for type 1 patients as they are scheduled to be at the infusion area only for 20-minutes, and hence, this time Ko 143 is covered by the y variable.
    Eq. (4) ensures that for any time period, once a chair is assigned to a patient (new or continuing patient), the chair is not assigned
    (6) to any other patient at the same time. In other words, at most one patient at any time in any chair.
    Eq. (5) is related to operational polices which could be different for other settings. The current policy at the CC does not permit
    (8) new patient arrivals during lunch Ko 143 time; lunch time is scheduled between time slots 13 to 15 on each day.
    Table 3
    study was pursued in a real setting which led to some limitations
    Proportions of acuity levels for each patient type.
    in the process of collecting data. The data collection days were
    scheduled in agreement with the nurse manager, with the goal of
    avoiding unnecessary distractions and interruptions.
    Since the data came from a longitudinal study, which contained
    both variations within subjects (over time) and between subjects,
    this work might present some limitations in generalizing the re-
    sults into other settings. However, the methodology applies to any
    setting which is why it was important to decide the appropriate
    mental workload assessment tool as well as the weighting scheme.
    Therefore, in the future, researchers may want to assess their
    nurses’ mental workload by following the procedure explained
    here, which recommends using NASA-TLX and equal weights. Sim-
    ilarly, the development of the mental workload constraint can
    follow the procedure explained here.
    After deciding on the mental workload assessment tool and the
    weighting scheme to estimate the total score, we were ready to de-
    yijtan +
    xijtan = 0 (7) velop the mental workload constraint. For the model development,
    we used 131 observations from seven nurses which represented
    the entire population for nurses working in the infusion area. We
    Acuity represents the aggressiveness of a treatment which is only considered nurses assigned to the infusion area as we believed
    related to the quantity and intensity of drugs that a patient receives that including nurses from other areas or settings outside the
    in a chemo section, and therefore, acuity is considered to have a infusion area might have resulted in different factors that could be
    high association to the length of the treatment. In other words, not related to the tasks associated to the infusion responsibilities.
    the acuity level is tied to patient type. Table 3 summarizes the The variables of interest for each observation were heart rate,
    proportion of patients with a specific acuity level.
    ECG, breathing rate, number of patients present, acuity, and nurses’
    As a result, patient types 1 through 5 show a probability of zero ID as independent variables and NASA-TLX as the dependent vari-
    for acuity levels four and five. Similarly, patient types 9 through 12, able. Since acuity level was one of the parameters considered in the
    which are the longest treatment durations, show a probability of patient classification system used for the allocation of nursing staff
    zero for acuity levels one through three. Eqs. (6) and (7) guaranteed
    at the clinic, it was important to consider this variable in the study.
    that these conditions were met.
    However, as expected, further analysis revealed a positive strong
    2.6.3. Capacity constraints description
    correlation between the number of patients and the acuity level
    Eq. (8) considers the change on the demand per type of patients