Clinical document analysis
Unlock doctors' letters and findings faster.
Clinical document analysis uses language models to structure doctors' letters, findings and lab values, highlighting relevant information and saving physicians documentation time.
- Faster processes
- Less manual work
- More transparency
documentation time
information availability
payback
data-protection compliance
Calculated from saved physician time and faster treatment decisions.
- 01
Data integration
Consolidate data from ERP, MES and further sources for Clinical document analysis.
- 02
Data quality
Clean, harmonise and validate data for plausibility.
- 03
Model development
Train and validate the Clinical document analysis model on historical data.
- 04
Pilot
Pilot Clinical document analysis in one area and collect feedback.
- 05
Rollout
Scale the solution and integrate it into operational processes.
Steps
Data sources
Stakeholders
From first data access to production – every step delivers a tangible interim result.
Documents
Specifications, quotes, contracts and reports.
Patient data
Treatment data, appointments and resource use.
Lab data
Analyses, measured values and test protocols.
ERP data
Master and transaction data from ERP.
HR data
Shift plans, qualifications and absences.
Appointment data
Patient and customer appointments with history.
Patient management
Improves processes and resource utilisation.
HR
Plans personnel and qualifications better.
IT
Builds on a scalable and secure data infrastructure.
Management
Receives reliable metrics for strategic decisions.
Faster processes
Less manual work
More transparency
Higher quality
Time savings
With a solid data foundation this use case gets faster, cheaper and far more stable.
Central data platform
Real-time data integration
Scalable analytics pipelines
Reusable data products
GenAI assistance
Language models unlock documents and knowledge.
Compliance reporting
Audit-ready data supports evidence.
Automated reporting
Metrics are provided without manual effort.
Internal Enterprise GPT
A company-owned chat assistant that reliably answers questions on processes, policies and expertise.
Document Chat (RAG)
Search large document sets via chat instead of manually digging through contracts and reports.
Service & Repair Assistant
Technicians get precise repair guidance on-site, drawn from manuals and ticket history.