The research line process analytics in healthcare develops methods and techniques which support healthcare organizations to gather data-driven insights in their processes.
Healthcare organizations have the ambition to provide high-quality services to their patients. At the same time, they are confronted with significant challenges such as tightening budgets, contrasted to increased care needs due to the aging population. To face these challenges, these organizations are becoming increasingly aware of the need to manage their processes with the ambition to improve them.
In order to manage processes, such as the patient flow, healthcare organizations need to gain profound insights into these processes to, for instance, identify bottlenecks. These insights can be retrieved from data as increasing volumes of data are being recorded about the execution of healthcare processes. Traditionally, this data originated from the information system of the hospital. However, in the Internet of Things era, a variety of additional information sources such as real-time location systems and healthcare apps are available. This enables the retrieval of richer information to support hospitals in decision-making.
The research line process analytics in healthcare develops methods and techniques which support healthcare organizations to gather data-driven insights in their processes. Topics that are currently being developed include diagnostic analytics, data-driven capacity management, and data quality assessment/improvement. Over the years, we have established collaborations with a multitude of healthcare organizations in Belgium and abroad. This ensures that we remain up-to-date with the sector’s specific challenges and, at the same, makes sure that research with societal impact is conducted.
Questions about this research line or seeing the potential to collaborate? Please feel free to contact dr. Niels Martin.