AI & BI use case · Business Intelligence

Patient flow optimisation

Reduce waiting times and use resources better.

What it's about

Patient flow optimisation analyses admissions, treatment times and resource utilisation, identifying bottlenecks early and improving scheduling.

  • Higher efficiency
  • Higher customer satisfaction
  • Better planning
Business case & ROI
−20 %

waiting times

+15 %

resource utilisation

6 Mon.

payback

+10 %

patient satisfaction

Calculated from more treated patients, shorter waiting times and better staff planning.

How we do it
  1. 01

    Data integration

    Consolidate data from ERP, MES and further sources for Patient flow optimisation.

  2. 02

    Data quality

    Clean, harmonise and validate data for plausibility.

  3. 03

    Model development

    Train and validate the Patient flow optimisation model on historical data.

  4. 04

    Pilot

    Pilot Patient flow optimisation 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

Patient data

Treatment data, appointments and resource use.

HR data

Shift plans, qualifications and absences.

ERP data

Master and transaction data from ERP.

Appointment data

Patient and customer appointments with history.

Documents

Specifications, quotes, contracts and reports.

Quality data

Inspection results, lab values and complaints.

Stakeholders
  • Patient management

    Improves processes and resource utilisation.

  • HR

    Plans personnel and qualifications better.

  • Controlling

    Quantifies effects and supports budgeting.

  • IT

    Builds on a scalable and secure data infrastructure.

Typical business value
01

Higher efficiency

02

Higher customer satisfaction

03

Better planning

04

More transparency

05

Cost reduction

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

Demand forecasting

Data flow enables more precise forecasts.

Automated reporting

Metrics are provided without manual effort.

BI reporting

Metrics are delivered in dashboards.