Infection early detection
Detect and contain hospital infections early.
Infection early detection analyses lab, treatment and ward data to identify anomalies and clusters early, so hygiene measures can be targeted more precisely.
- More safety
- Cost reduction
- Faster processes
infection cases
response time
payback
early detection
Calculated from avoided treatment costs, shorter stays and lower hygiene effort.
- 01
Data integration
Consolidate data from ERP, MES and further sources for Infection early detection.
- 02
Data quality
Clean, harmonise and validate data for plausibility.
- 03
Model development
Train and validate the Infection early detection model on historical data.
- 04
Pilot
Pilot Infection early detection 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.
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.
Documents
Specifications, quotes, contracts and reports.
Quality data
Inspection results, lab values and complaints.
Patient management
Improves processes and resource utilisation.
Quality management
Secures compliance with standards and regulations.
Controlling
Quantifies effects and supports budgeting.
IT
Builds on a scalable and secure data infrastructure.
More safety
Cost reduction
Faster processes
Easier compliance
More trust
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
Predictive quality
Same data reveals quality deviations.
Automated reporting
Metrics are provided without manual effort.
Compliance reporting
Audit-ready data supports evidence.