헬스케어에서의 생성형 AI(GenAI) 활용 : 후지타 의과대학병원이 Amazon Bedrock을 활용하여 임상 워크플로우를 혁신한 방법

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

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• Synopsis