Ontology Engineering Applications in Healthcare and Workforce Management Systems

ISBN-13: 9783319650111 / Angielski / Twarda / 2017 / 103 str.

David E. Forbes; Pornpit Wongthongtham; Chamonix Terblanche

Opis

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.

Recenzje

"This brief book is interesting for practitioners and researchers working on the development and engineering of ontologies. The examples represented in PROTÉGÉ and OWL may help others develop similar applications. ... The system described in the book provides solutions for management and communication problems within healthcare in Australia; the solutions can be considered as thought provoking for other subject domains as well." (Bálint Molnár, Computing Reviews, April, 2018)

Spis treści

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.

Blurb

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.