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Self-Organized Scheduling in Hospitals by Connecting Agents and Mobile Devices

Title data

Eymann, Torsten ; Müller, Günter ; Strasser, Moritz:
Self-Organized Scheduling in Hospitals by Connecting Agents and Mobile Devices.
In: Kirn, Stefan ; Herzog, Otthein ; Lockemann, Peter ; Spaniol, Otto (Hrsg.): Multiagent engineering : theory and applications in enterprises. - Berlin : Springer , 2006 . - pp. 319-338
ISBN 978-3-540-31406-6
DOI: https://doi.org/10.1007/3-540-32062-8_17

Official URL: Volltext

Project information

Project title:
Project's official titleProject's id
Projektgruppe WI Künstliche IntelligenzNo information

Abstract in another language

This chapter describes the conceptualization and realization of a real-time managed mobile information system in healthcare. The particular application addressed is a dynamic, self-organized scheduling of the treatment of patients. Building blocks for this project are locatable, interactive Personal Digital Assistants (PDAs) to connect medical staff and patients; physical resources are connected by locatable Radio Frequency Identification (RFID) chips. These physical objects are represented in the information system by software agents. The multi-agent platform EMIKA implements a negotiation-based schedule system to enable a dynamic planning process. The EMIKA-System has been developed to prototype level and functionally tested in a real-time laboratory SaEM2002. Lessons learned from the realization pertain to technical functionality and to privacy and security issues.

Further data

Item Type: Article in a book
Refereed: Yes
Institutions of the University: Faculties > Faculty of Law, Business and Economics
Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration VII
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration VII > Chair Business Administration VII - Univ.-Prof. Dr. Torsten Eymann
Faculties
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works
000 Computer Science, information, general works > 000 Generalities, Science
300 Social sciences > 330 Economics
Date Deposited: 12 Sep 2014 11:54
Last Modified: 27 Sep 2019 12:29
URI: https://eref.uni-bayreuth.de/id/eprint/1015