Every transaction in an IT system leaves digital footprints – also in hospitals. Whether a doctor records a diagnosis, a nurse sends a request, or the laboratory determines the blood level – every activity is logged with a time stamp in the database.
Process Mining extracts these digital traces within the hospitals IT systems to visually reconstruct the as-is-processes in real-time and detects deviations to the to-be processes.
The surgery manager of the client knows that his hospital has problems with the punctuality of surgeries. On a regular basis, patients are not placed in the operations room on time, but he does not know from where the bottleneck is coming from.
Doctors hold the transportation service provider accountable, which, in return, blames the station, because they would forget regularly to prepare the patient in time. The surgery manager himself suspects that his surgery teams is responsible for the problem, as they would forget to call for patients in time.
The aim of the project is to analyze the severity of the perceived problem and to detect inefficiencies in the process with Process Mining.
To answer these questions the patient delivery process is visualized, starting from the call for the patient in the station, via the order acceptance of the transport service provider, through to the reaching of the lock. Therefore, the data was extracted from the KIS and the smartphone application of the transportation service provider.
Emergency rooms have limited capacities and suffer from a rising, heterogeneous patient occurrence. Therefore, it is necessary to standardize the ‘emergency room process’.
Visualization of the as-is processes in Celonis to get a holistic and realistic picture of the operations in an emergency room to derive organisatory and technical measures.
Visualization of the processes from the arriving of the patient via triage, diagnostics, doctor’s visit, medical dismissal, etc. based on the time stamps recognized in the KIS database.
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