TY - GEN
T1 - Optimization model to minimize cost of inpatient bed provision in public hospital
AU - Hakim, Inaki Maulida
AU - Nabila, Dea Ananda
N1 - Publisher Copyright:
© 2019 Association for Computing Machinery.
PY - 2019/9/27
Y1 - 2019/9/27
N2 - Public hospital owned by the government is responsible for providing good healthcare services to the community. In this case, the hospital must carry out its activities efficiently so that it can take advantage of the limited Indonesian government budget. With these financial constraints, planning and allocating efficient inpatient beds as an effort to save on hospital service costs is more challenging. One of the government-owned public hospital located in South Jakarta, Indonesia has not planned and allocated inpatient beds efficiently causing a high cost of inpatient bed provision. So, it is necessary for the hospital to plan and allocate inpatient beds properly. The inpatient care unit consists of adult, child, and obstetrics inpatient units. This research develops an optimization model using the Integer Linear Programming (ILP) method which aims to minimize the cost of providing beds in each inpatient unit. The results showed a reduction in the cost of providing beds with different numbers of beds allocated. Afterwards, the number of nurses needed was also calculated. The results also show a reduction in the number of nurses needed and it saves nurses' costs. The model shows that it can save the total cost up to IDR7,286,400.
AB - Public hospital owned by the government is responsible for providing good healthcare services to the community. In this case, the hospital must carry out its activities efficiently so that it can take advantage of the limited Indonesian government budget. With these financial constraints, planning and allocating efficient inpatient beds as an effort to save on hospital service costs is more challenging. One of the government-owned public hospital located in South Jakarta, Indonesia has not planned and allocated inpatient beds efficiently causing a high cost of inpatient bed provision. So, it is necessary for the hospital to plan and allocate inpatient beds properly. The inpatient care unit consists of adult, child, and obstetrics inpatient units. This research develops an optimization model using the Integer Linear Programming (ILP) method which aims to minimize the cost of providing beds in each inpatient unit. The results showed a reduction in the cost of providing beds with different numbers of beds allocated. Afterwards, the number of nurses needed was also calculated. The results also show a reduction in the number of nurses needed and it saves nurses' costs. The model shows that it can save the total cost up to IDR7,286,400.
KW - Bed Allocation
KW - Cost Optimization
KW - Inpatient Care Unit
KW - Integer Linear Programming
KW - Public Hospital
UR - http://www.scopus.com/inward/record.url?scp=85076751567&partnerID=8YFLogxK
U2 - 10.1145/3364335.3364366
DO - 10.1145/3364335.3364366
M3 - Conference contribution
AN - SCOPUS:85076751567
T3 - ACM International Conference Proceeding Series
SP - 128
EP - 132
BT - 2019 the 5th International Conference on Industrial and Business Engineering, ICIBE 2019
PB - Association for Computing Machinery
T2 - 5th International Conference on Industrial and Business Engineering, ICIBE 2019
Y2 - 27 September 2019 through 29 September 2019
ER -