Please use this identifier to cite or link to this item: http://hdl.handle.net/11434/1851
Title: The suitability of artificial neural networks in service quality control and forecasting.
Authors: Wickramasinghe, Nilmini
Other Authors: Niavarani, M
Sulatan, R
Keywords: Forecasting
eHealth
Artificial neural networks
Quality control
Chair of Health Informatics Management, Epworth HealthCare, Victoria, Australia
Epworth HealthCare, Victoria, Australia
Issue Date: Aug-2013
Conference Name: AMCIS
Conference Location: Chicago, Illinois, USA
Abstract: The 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.
URI: http://hdl.handle.net/11434/1851
URL: https://amcis2019.aisconferences.org/submissions/track-descriptions/#toggle-id-14
Type: Conference Paper
Appears in Collections:Health Informatics

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