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

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

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.


IDC PeerScape Figure
Executive Summary
Peer Insights
Practice 1: Go for Cloud Solutions with Regular Knowledge Base Updates to Ensure Long-Term Relevance of Assistive Diagnosis Models
Challenge
Examples
Guidance
Practice 2: Leverage Existing Cognitive/AI-Embedded Products to Increase the Efficiency and Impact of Patient Engagement and Advisory Initiatives
Challenge
Examples
Guidance
Practice 3: Automate Time-Consuming Manual Data Entry Tasks That Are Currently Operational Pain Points
Challenge
Examples
Guidance
Practice 4: Empower Clinicians with Disease and Adverse Event Prediction Systems
Challenge
Examples
Guidance

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