Title: Value benefit analysis of technologies for automatic identification to be implemented in the healhtcare sector
Authors : Krey, Mike
Proceedings: Proceedings of the IADIS International Conference on e-Health
Conference details: IADIS Multi Conference on Computer Science and Information Systems, Algarve, Portugal, 21 - 23 June 2009
Publisher / Ed. Institution : IADIS
Issue Date: 2009
License (according to publishing contract) : Licence according to publishing contract
Type of review: Peer review (Abstract)
Language : English
Subjects : RFID; Healthcare; Evaluation; RFID; Process model; Healthcare; Auto-ID
Subject (DDC) : 004: Computer science
610: Medicine and health
Abstract: The tasks and objectives of automatic identification (Auto-ID) are to provide information on goods and products. It has already been established for years in the areas of logistics and trading and can no longer be ignored by the German healthcare sector. Some German hospitals have already discovered the capabilities of Auto-ID. Improvements in quality, safety and reductions in risk, cost and time are aspects and areas where improvements are achievable. Privacy protection, legal restraints, and the personal rights of patients and staff members are just a few aspects which make the heath care sector a sensible field for the implementation of Auto-ID. Auto-ID in this context contains the different technologies, methods and products for the registration, provision and storage of relevant data. With the help of a quantifiable and science-based evaluation, an answer is sought as to which Auto-ID has the highest capability to be implemented in healthcare business.
Departement: School of Management and Law
Organisational Unit: Institute of Business Information Technology (IWI)
Publication type: Conference Paper
ISBN: 978-972-8924-81-2
URI: https://digitalcollection.zhaw.ch/handle/11475/16646
http://iadisportal.org/digital-library/value-benefit-analysis-of-technologies-for-automatic-identification-to-be-implemented-in-the-healthcare-sector
Appears in Collections:Publikationen School of Management and Law

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.