AI-Driven Planning for Healthcare Operations

An AI-driven planning initiative created a clear, data-backed foundation for operational improvement. It unified insights across departments, enabling smarter decisions and paving the way for future (AI) automation and innovation.

Improved Insights
Data driven insights in capacity and bottlenecks enable smarter operational decisions
Reduced Waiting Times
Identified areas to optimize capacity and patient flow
Efficiency Increase
Planning teams work with greater clarity and alignment, leading to faster and more coordinated decision-making across departments
Challenge

Complex Scheduling and Limited Oversight

Within the thorax centre of a leading hospital, planning activities were spread across four separate scheduling offices, resulting in fragmented processes, limited transparency, and inefficient use of capacity. Without a unified view, it was difficult to detect bottlenecks or drive consistent improvements, leading to longer patient waiting times and higher workload pressure for staff.

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Ambition

Treat More Patients with the Same Capacity

The hospital’s operations team aimed to shorten waiting times and treat more patients without increasing resources. Their goal was to establish a transparent, efficient, and data-driven planning approach that enhances collaboration and supports informed decision-making, while laying the groundwork for future AI-driven automation.

Strategy

Data Transparency and AI-Enabled Planning

As an innovative hospital already investing in digital transformation, the organization initiated a strategic research project to explore data-driven planning improvements.

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Our contribution focused on:

  • Data-Driven Insights: Analyzing planning processes and KPIs to uncover inefficiencies and dependencies across departments.
  • Change Management Support: Using objective data analyses to guide improvement initiatives and align internal stakeholders.
  • Dashboard Concept Design: Defining a visual framework to highlight bottlenecks, track progress, and prepare for AI-enabled planning.

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Impact

Greater Efficiency for the Future

  • Improved Visibility: Clear insights into capacity and bottlenecks enable more effective operational decisions.
  • Enhanced Collaboration: Planning teams benefit from greater clarity and shared understanding across departments.
  • Reduced Waiting Times: Identified improvement areas to optimize capacity and patient flow.
  • Future-Ready Foundation: The groundwork is laid for automated, AI-powered planning once data integration is complete.

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