AI & BI use case · Business Intelligence

Clinical cost controlling

Make costs per case and treatment transparent.

What it's about

Clinical cost controlling links treatment, staff and material data with billing information to reveal cost drivers and variances per DRG or patient.

  • More transparency
  • Cost reduction
  • Better decisions
Business case & ROI
−10 %

cost per case

+15 %

transparency

4–6 Mon.

payback

−20 %

variance analysis

Calculated from identified savings and optimised billing.

How we do it
  1. 01

    Data integration

    Consolidate data from ERP, MES and further sources for Clinical cost controlling.

  2. 02

    Data quality

    Clean, harmonise and validate data for plausibility.

  3. 03

    Model development

    Train and validate the Clinical cost controlling model on historical data.

  4. 04

    Pilot

    Pilot Clinical cost controlling in one area and collect feedback.

  5. 05

    Rollout

    Scale the solution and integrate it into operational processes.

5

Steps

6

Data sources

4

Stakeholders

From first data access to production – every step delivers a tangible interim result.

Data typically needed

Financial data

Cost centres, budgets, cash flows and invoices.

Patient data

Treatment data, appointments and resource use.

ERP data

Master and transaction data from ERP.

HR data

Shift plans, qualifications and absences.

Inventory data

Stock levels, movements and locations.

Documents

Specifications, quotes, contracts and reports.

Stakeholders
  • CFO

    Receives reliable financial and risk metrics.

  • Patient management

    Improves processes and resource utilisation.

  • Controlling

    Quantifies effects and supports budgeting.

  • IT

    Builds on a scalable and secure data infrastructure.

Typical business value
01

More transparency

02

Cost reduction

03

Better decisions

04

Better planning

05

Easier compliance

The data platform advantage

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

Build a data platform
Synergies & positive side effects

Automated reporting

Metrics are provided without manual effort.

BI reporting

Metrics are delivered in dashboards.

Demand forecasting

Data flow enables more precise forecasts.