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Jul 2017 - IDC PeerScape - Doc # AP42841117

IDC PeerScape: Cognitive/AI Practices for Healthcare in Asia/Pacific (Excluding Japan)

Authors: Ashwin Moduga, Jessie Danqing Cai, Chwee Kan Chua, Xiao Xiang Zhang

Abstract

Although data availability issue and a seeming lack of evident or immediate ROI are some of the top barriers for mass implementation as identified in IDC research conducted in North America at the start of 2017, the interest around cognitive/AI among healthcare providers and administrators continues to be high, as the need for intelligent automation and precision care grows. This IDC PeerScape presents four critical practices that can help healthcare service providers and administrators gauge and understand peer group implementations that could help them onboard cognitive/AI technology and deliver near-term value.

"Cognitive/AI systems can not only help healthcare providers enhance patience experience but also address the patient need for better accessibility and affordability. These opposing realities will drive more providers to leverage technology advancement, such as cognitive/AI, to mitigate cost and improve the quality of care," says Jessie Danqing Cai, senior research manager of Big Data, Analytics, and Cognitive/AI Computing Practice, IDC Asia/Pacific.

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