|IDC’s recent Health Insights report on Artificial Intelligence (AI) and Cognitive Computing adoption in Asia/Pacific believes that the healthcare market – hospitals, life sciences/medical devices/health insurance companies – will be one of the significant early movers for acceptance of the technology in the region.
The report, entitled ‘IDC PeerScape: Cognitive/AI Practices for Healthcare in Asia/Pacific’ outlines the best practices for AI/Cognitive adoption by hospitals across the region.
The report’s Research Manager, Ashwin Moduga noted: “Hospitals won’t just use AI/Cognitive for automation or accuracy anymore. Implementation will aim to augment the low availability of healthcare specialists in the region. Emerging solutions are already helping hospitals improve on medical image diagnoses using deep learning and allowing for large scale diagnostic efforts with minimal human inputs.
AI/Cognitive solutions in the next 10 years will look to bolster decision making and empower clinicians with tools that validate clinical decision confidence – helping improve disease progression.
“In the next two to three years, hospitals will have passed the stage of experimenting with simple automation and begin to invest on deep-learning algorithms that make sense and generates actionable insight out of the geometrically growing, unstructured data sets, from personal and hospital health information management systems.”
Implementation efforts, made possible by involving stakeholders from the line of business and end-users (physicians, nursing staff) are focused based on hospital needs – the private-health sector investing on specific clinical decision support systems for diseases like Oncology and Neurology, while the smaller and public-hospital systems explore areas related to automation of data entry and patient engagement.
While most hospitals – apart from large private chains – are still evaluating large-scale solutions, it’s important to begin in-house efforts for a select set of individual processes. These in-house efforts have, for many hospitals, resulted in improved understanding of key process stakeholders, project scopes, and importantly the ability to showcase ROI for future, larger investments.