In the hospital environment, every minute counts—especially when it comes to freeing up an intensive care bed. But what happens when a patient’s discharge takes longer than expected?
With Inverbis Analytics, you can pinpoint exactly where time is being lost and optimize the discharge process to improve hospital efficiency.
How to optimize the hospital discharge process
Process mining allows you to visualize the actual flow of activities, from the moment discharge is decided until the patient leaves the ICU. By identifying critical points and bottlenecks, it becomes possible to implement concrete improvements that reduce waiting times.
In one of our analyses, we found that the discharge process can take up to 10 hours. The reason? Accumulated delays in administrative tasks, coordination between departments, and resource availability.
The impact of optimization on hospital management
Optimizing this process not only frees up beds more quickly, but also:
- Improves patient turnover
- Reduces stress on healthcare staff
- Enhances the quality of care
- Lowers operational costs
Maximize efficiency in your clinical processes
With Inverbis Analytics, you gain a clear and detailed view of what’s really happening in your hospital workflows. This tool helps you identify inefficiencies, reduce idle time, and improve the experience for both patients and medical teams.
Discover how process mining can transform hospital management and help you make decisions based on real data.
Do you want to know more? Book a demo with us.
The Prompter.io is our open project to share our experience—and that of others—in integrating language models and data-to-text techniques into process intelligence. Don’t miss it!
