Please use this identifier to cite or link to this item: http://hdl.handle.net/11434/1851
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dc.contributor.authorWickramasinghe, Nilmini-
dc.contributor.otherNiavarani, M-
dc.contributor.otherSulatan, R-
dc.date.accessioned2019-12-04T01:55:53Z-
dc.date.available2019-12-04T01:55:53Z-
dc.date.issued2013-08-
dc.identifier.urihttp://hdl.handle.net/11434/1851-
dc.description.abstractThe Healthcare Informatics and Health Information Technology (HIT) track seeks to promote research into ground breaking technology innovations and applications within the healthcare sector, while incorporating interdisciplinary theoretical perspectives and methodological approaches beyond the traditional information systems (IS) and health information technology (HIT) disciplines. Information systems and technology (IT) innovations offer significant potential to transform the delivery of care, to improve the quality and efficiency of the healthcare system, to enhance interactions between patients/caregivers and providers, and to enable greater access to the latest advancements in treatments, among other accomplishments and outcomes. Academic efforts within the Healthcare Technology and Systems track should demonstrate novel work within the IS discipline as well as reference perspectives including computer science, economics, organizational behavior, public policy, public health, software/electrical engineering, management, and strategy, among others. Completed research and research-in-progress topics might include, opportunities and challenges faced within the current healthcare sector; advances in healthcare information technologies (HIT), electronic health (e-health), telemedicine, and mobile health (m-health), among other innovative technological applications; as well as healthcare industry-specific issues related to traditional IS research concerns, including adoption and diffusion, systems design and implementation, and IS success.en_US
dc.relation.urihttps://amcis2019.aisconferences.org/submissions/track-descriptions/#toggle-id-14en_US
dc.subjectForecastingen_US
dc.subjecteHealthen_US
dc.subjectArtificial neural networksen_US
dc.subjectQuality controlen_US
dc.subjectChair of Health Informatics Management, Epworth HealthCare, Victoria, Australiaen_US
dc.subjectEpworth HealthCare, Victoria, Australiaen_US
dc.titleThe suitability of artificial neural networks in service quality control and forecasting.en_US
dc.typeConference Paperen_US
dc.description.conferencenameAMCISen_US
dc.description.conferencelocationChicago, Illinois, USAen_US
dc.type.contenttypeTexten_US
Appears in Collections:Health Informatics

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