Polytechnic University of Valencia Congress, CARPE Conference 2019: Horizon Europe and beyond

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New approach for resource allocation in digital healthcare 4.0
Balázs Kocsi, László Pusztai, Istvan Budai

Last modified: 11-09-2019


The examination and automation opportunities in healthcare processes, which aims at reducing patient journey and their waiting time, while increasing the utilization of medical equipment as well as monitoring patients.

Waiting times are playing a significant role in the total process time of patient care. One of the main reasons is the insufficient resource allocation. This research presents a methodological improvement which supports decision making in digital health processes. The current research provides a methodology that makes weekly human resource scheduling more efficient than before.

With the combination of process mining and operations research, we developed a weighted forecast for the probable number of patients. During the research we processed historical data as well as we identified the bottlenecks in the examined health process. Furthermore, we took the causality into account.

In today’s fast-paced societies, IT-based solutions are more and more frequently used in healthcare, with the aim of reducing risks and increase patient satisfaction. The method created by us offers a fast, precise and efficient solution to decision making in digital health processes.


Resource allocation, Data mining in healthcare, Forecasting, patient journey

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