Optimizing staff & resource deployment to enhance patient processes, known as integral capacity management for short, is becoming an increasingly hot topic in healthcare. Integral capacity management strikes a better balance between supply and demand and facilitates smoother healthcare processes. ORTEC's solutions for integral capacity management will give you 24/7 insight into and control over staff & resource deployment, paving the way for improved planning, scheduling, management, monitoring and analysis for hospitals.
Our capacity management software takes over the scheduling and control of people, spaces and resources. In doing so, it will help you achieve your healthcare delivery performance targets by providing wide-ranging logistical support using intelligent optimization and data science methods.
Care is provided primarily by healthcare professionals. Our solution is a feature-rich suite that helps support the coordination of workplaces, working hours, and breaks. Our workforce scheduling suite is extremely comprehensive, boasting features for self-scheduling, flex pool scheduling, salary pre-calculations, integration with HR software, shift bidding and swapping, optimization algorithms for rosters and workplace scheduling, and much more.
With our solution, medical specialists, physician assistants and support staff gain access to flawless schedule and activity coordination. All activities are quickly and easily paired with spaces and (critical) resources based on availability data.
Our online solution (Software as a Service) unlocks real-time, up-to-date information and offers ultimate convenience, transparency and time savings for schedulers, while laying the foundation needed for patient flow prediction and optimization.
On their care journey, patients will often encounter several wards and departments, which means that occupancy and workloads in one department can be heavily dependent on other departments. Our forecasting software provides predictive insight into patient flows, unlocking proactive management to achieve a stable, uniform demand for care in departments. At the same time, departments can match staff and resource deployment to expected and predicted occupancy levels.
Discover the measurable results of data-driven decision making at our customers.