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Automating ICD-10 coding with LLMs for diagnosis support

CLIENT

Healthcare Provider

SERVICE

Strategy / GenAI / Training

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AI SUMMARY

Initial Situation

To meet new legal requirements mandating ICD-10 coding of outpatient visits by 2025, an Austrian healthcare provider set out to replace its manual, time-intensive processes with a scalable, AI-based coding engine — designed not as a standalone tool, but as a strategic step toward a sustainable AI foundation for medical text processing and future use cases.

Our Contribution

  • Enhanced and industrialized the AI-powered ICD-10 Coding Engine, achieving a coding quality of 92%
  • Designed and implemented a scalable AI architecture to process over 630,000 discharge reports annually
  • Integrated the solution seamlessly into three different hospital information systems (HIS) for cross-clinic usability
  • Enabled secure, anonymized cloud processing in compliance with healthcare regulations
  • Established a reusable AI component for future medical NLP use cases

Value Delivered

  • Deployed a scalable, production-ready AI solution for automated discharge coding across multiple hospitals
  • Achieved full compliance with national regulations without expanding internal coding capacity
  • Improved documentation quality while reducing manual workload
Automating ICD-10 coding with LLMs for diagnosis support
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