Ontology Engineering Applications in Healthcare and Workforce Management Systems (Record no. 80587)

000 -LEADER
fixed length control field 03641nam a22005775i 4500
001 - CONTROL NUMBER
control field 978-3-319-65012-8
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801222255.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 170812s2018 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319650128
-- 978-3-319-65012-8
082 04 - CLASSIFICATION NUMBER
Call Number 006.3
100 1# - AUTHOR NAME
Author Forbes, David E.
245 10 - TITLE STATEMENT
Title Ontology Engineering Applications in Healthcare and Workforce Management Systems
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2018.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XIII, 103 p. 44 illus., 41 illus. in color.
490 1# - SERIES STATEMENT
Series statement Studies in Systems, Decision and Control,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Current Issues -- Information Technology Challenges and Opportunities -- Ontology Engineering -- Patient Practitioner Assistive Communications Ontology -- Cross-cultural Healthcare Communication System -- Employer Demand Ontology -- Open Issue and Concluding Remarks.
520 ## - SUMMARY, ETC.
Summary, etc Looking beyond the communications technology horizon and projecting future competency-specific employment demand, this book presents an evaluation of desirable information systems enhancements by integrating two disparate-domain computer ontologies. It provides readers a fresh solutions approach based on dynamic modeling and methodological contributions to philosophical and assistive communications system development in healthcare, addressing the need for both demand intelligence and practical work environment support. The pace of change in redefining occupation-specific employee resourcing needs is unrelenting and continues to accelerate. And the exponential growth in the demand for healthcare service delivery is correspondingly daunting. As such, the public and private sectors are faced with the challenge of sustaining credible relevant demand intelligence and recruitment practices, while integration, expansion and enrichment of ostensibly unconnected ontologies represent key R&D issues.
700 1# - AUTHOR 2
Author 2 Wongthongtham, Pornpit.
700 1# - AUTHOR 2
Author 2 Terblanche, Chamonix.
700 1# - AUTHOR 2
Author 2 Pakdeetrakulwong, Udsanee.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-319-65012-8
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2018.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
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-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Medical informatics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Health Informatics.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2198-4190 ;
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-- ZDB-2-ENG
912 ## -
-- ZDB-2-SXE

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