000 03641nam a22005775i 4500
001 978-3-319-65012-8
003 DE-He213
005 20220801222255.0
007 cr nn 008mamaa
008 170812s2018 sz | s |||| 0|eng d
020 _a9783319650128
_9978-3-319-65012-8
024 7 _a10.1007/978-3-319-65012-8
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aForbes, David E.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_960616
245 1 0 _aOntology Engineering Applications in Healthcare and Workforce Management Systems
_h[electronic resource] /
_cby David E Forbes, Pornpit Wongthongtham, Chamonix Terblanche, Udsanee Pakdeetrakulwong.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXIII, 103 p. 44 illus., 41 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Systems, Decision and Control,
_x2198-4190 ;
_v123
505 0 _aCurrent 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 _aLooking 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.
650 0 _aComputational intelligence.
_97716
650 0 _aMedical informatics.
_94729
650 0 _aArtificial intelligence.
_93407
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aHealth Informatics.
_931799
650 2 4 _aArtificial Intelligence.
_93407
700 1 _aWongthongtham, Pornpit.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_960617
700 1 _aTerblanche, Chamonix.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_960618
700 1 _aPakdeetrakulwong, Udsanee.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_960619
710 2 _aSpringerLink (Online service)
_960620
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319650111
776 0 8 _iPrinted edition:
_z9783319650135
776 0 8 _iPrinted edition:
_z9783319879253
830 0 _aStudies in Systems, Decision and Control,
_x2198-4190 ;
_v123
_960621
856 4 0 _uhttps://doi.org/10.1007/978-3-319-65012-8
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c80587
_d80587