This IDC Perspective showcases the GenAI case study from Fujita Health University in Japan. The initiative focuses on reducing physicians' administrative burden by automating the generation of hospital discharge summaries. By implementing this solution, FHU achieved a 90% reduction in the time required to complete each summary. Following a successful pilot, the project has now progressed into a scalable implementation phase, showcasing strong potential for broader adoption."Healthcare providers across Asia/Pacific have identified GenAI as a top technology investment priority over the next two years. To ensure a successful transition from pilot to production, and to realize the full value of GenAI adoption, several key prerequisites must be addressed. These include selecting a capable and trusted technology partner, establishing a strong data governance framework, aligning GenAI use cases with strategic organizational goals, and upskilling internal teams to effectively adopt and manage AI-driven workflows," says Manoj Vallikkat, senior research manager, IDC Asia/Pacific Health Insights.
Executive Snapshot
Situation Overview
Healthcare DX Trends Across Asia/Pacific
FHU's Focus on Clinical Data
FHU's Focus on Governance to Promote Healthcare DX
Leveraging GenAI to Address Critical Challenges
GenAI Case Study: How Fujita Health University Improved the Clinical Workflow by Leveraging GenAI
Background: The Need for GenAI in Preparing Discharge Summaries
GenAI Solution: Amazon Bedrock
Challenges: Data Scarcity and Skill Gaps
Outcome: Transition from PoC to Production with a 90% Reduction in Summary Preparation Time
Key Features of Amazon Bedrock Suitable for Healthcare
IDC's Point of View
Operational Priorities
Preferred Vendor Attributes
Key Learning Points
Advice for the Technology Buyer
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Related Research
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