TY - GEN
T1 - Home healthcare staff scheduling
T2 - 2013 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2013
AU - Mutingi, M.
AU - Mbohwa, C.
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2014/11/18
Y1 - 2014/11/18
N2 - Home healthcare staff scheduling has become increasingly important as healthcare business becomes more service oriented and cost conscious. With the ever increasing home care needs, healthcare staff shortages, increasing world-wide pressure for improved health care, and the rising healthcare costs, developing appropriate models for optimizing home healthcare operations is imperative. Healthcare service providers require effective decision support tools to meet customer expectations in a cost effective manner, satisfy staff requirements such as flexible work shifts, shift equity, individual preferences, part-time work, and meet management goals. Various methods have been developed to solve homecare staff scheduling problems. In this paper, we make a state-of-the-Art review of the models and algorithms that have been reported in the literature. In addition, we analyze the existing empirical studies, identifying the research trends and voids in home healthcare staff scheduling. Finally, we identify essential prospective research avenues.
AB - Home healthcare staff scheduling has become increasingly important as healthcare business becomes more service oriented and cost conscious. With the ever increasing home care needs, healthcare staff shortages, increasing world-wide pressure for improved health care, and the rising healthcare costs, developing appropriate models for optimizing home healthcare operations is imperative. Healthcare service providers require effective decision support tools to meet customer expectations in a cost effective manner, satisfy staff requirements such as flexible work shifts, shift equity, individual preferences, part-time work, and meet management goals. Various methods have been developed to solve homecare staff scheduling problems. In this paper, we make a state-of-the-Art review of the models and algorithms that have been reported in the literature. In addition, we analyze the existing empirical studies, identifying the research trends and voids in home healthcare staff scheduling. Finally, we identify essential prospective research avenues.
KW - Homecare
KW - home healthcare
KW - homecare staff scheduling
KW - modeling approaches
KW - taxonomy
UR - http://www.scopus.com/inward/record.url?scp=84914171485&partnerID=8YFLogxK
U2 - 10.1109/IEEM.2013.6962582
DO - 10.1109/IEEM.2013.6962582
M3 - Conference contribution
AN - SCOPUS:84914171485
T3 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 1107
EP - 1111
BT - IEEE International Conference on Industrial Engineering and Engineering Management
PB - IEEE Computer Society
Y2 - 10 December 2013 through 13 December 2013
ER -