Imagine seeing, at a glance, all consultation rooms, schedules, and resources across your entire organization. No endless email threads, no uncertainty about who's working where—just a clear, real-time overview. That's the core idea behind centralized planning. In this context, centralized planning doesn't mean rigid top-down control. It refers to shared visibility and coordinated planning across the organization.

In healthcare, planning happens every day – often behind the scenes, yet it affects everything. Who uses which room, when nurses and doctors are available, and how schedules align with patient flow? These decisions shape how smoothly daily operations run and how effectively an organization’s spaces and resources actually serve patients.

At health centers and hospitals, the utilization rate of rooms and resources is often surprisingly low. Empty consultation rooms, underused equipment, and the constant juggling of schedules waste valuable resources. But what if all of this could be optimized to get more out of existing resources – without additional investments?

In the modern healthcare sector, Artificial Intelligence (AI) is playing a pivotal role in transforming various aspects, from clinical procedures to population health management and diagnostics. One of the key advantages of AI is its capacity to improve administrative efficiency. By automating routine tasks, AI technologies free up healthcare professionals to focus on more critical aspects of patient care.

In Sweden, the digital transformation of healthcare is gaining momentum, and patient flow management is a common denominator among the regional councils’ priorities. As healthcare organizations modernize their core systems, the tendering process for patient management can seem daunting. We’ve put together this short checklist that simplifies your journey, steering your organization towards a solution that not only boosts operational efficiency but also significantly improves patient experience.

Do you know what computers are good at? Computing. Do you know what optimization is? A mathematical problem. 

Healthcare service production requires careful planning, and the larger the unit sizes become, the larger is the planning effort required. What does it take to produce efficient healthcare services? In simple terms, patients and professionals need to encounter in the same location – and this location also needs to offer the equipment and materials required, no matter if they’re related to diagnostics, care, or medication.