@inproceedings{2df46faac71046afa3986833b5416186,
title = "Preliminary evaluation of market mechanism-based bed allocation system",
abstract = "Effective bed management is important for hospital management. Until now, bed allocation process is generally controlled by administrative staffs in centralized manner but it is not always effective. In the present study, we proposed and evaluated new method for bed allocation applying market mechanism via token. Evaluation was performed with newly-developed game-type simulation. Nurse managers as research participants played it and answered for survey. The result showed that the proposed method can be useful with appropriate operational design.",
keywords = "Bed Occupancy, Hospital Management, Resource Allocation",
author = "Shusuke Hiragi and Osamu Sugiyama and Jun Hatanaka and Shosuke Ohtera and Goshiro Yamamoto and Kazuya Okamoto and Masayuki Nambu and Tomohiro Kuroda",
note = "Publisher Copyright: {\textcopyright} 2020 European Federation for Medical Informatics (EFMI) and IOS Press.; 30th Medical Informatics Europe Conference, MIE 2020 ; Conference date: 28-04-2020 Through 01-05-2020",
year = "2020",
month = jun,
day = "16",
doi = "10.3233/SHTI200443",
language = "English",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "1363--1364",
editor = "Pape-Haugaard, {Louise B.} and Christian Lovis and Madsen, {Inge Cort} and Patrick Weber and Nielsen, {Per Hostrup} and Philip Scott",
booktitle = "Digital Personalized Health and Medicine - Proceedings of MIE 2020",
address = "Netherlands",
}