Case Study Siemens Healthineers

Use Case
Internet of Things & Digitalization
Industry
Healthcare
Location
Represented globally in more than 70 countries
Employees
1,500
Source systems
IoT data, SQL databases

Siemens Healthineers Computed Tomography introduces mpmX as part of its digitalization strategy

Siemens Healthineers is a global leader in medical technology and healthcare solutions. The company develops technologies and services that support physicians in diagnosis, treatment, and clinical decision-making. Its portfolio includes medical imaging (e.g., MRI and CT), laboratory diagnostics, digital health solutions, automation, as well as consulting and services for healthcare providers. The company’s goal is to make healthcare more efficient and to improve access to advanced medical care worldwide.

Why mpmX

Siemens Healthineers chose mpmX to quickly perform ad hoc analyses of event logs and context information in order to identify the causes of long lead times, process deviations and bottlenecks. The applications are also used to further advance process standardization and harmonization.

In addition to the user-friendliness of the integrated self-service Process Mining functionalities, a key success factor was the simple connection of heterogeneous data sources. Among other data, event logs from IoT data were connected.

The combination of mpmX with Qlik Sense® made it possible to measure the acceptance of AI algorithms within processes (e.g., by evaluating automation rates) and make them visible for continuous monitoring. Another big advantage is the optimization of the Total Cost of Ownership and the reduction of the training effort when introducing mpmX.

The Process Mining application was jointly realized in a two-day coaching workshop. With native integration into the familiar Qlik Sense® interface, users could independently perform process analyses from the start, enabling a fast rollout.

"mpmX is a really innovative solution that enables us to analyze complex processes automatically. In this way, we can identify the causes of process weaknesses and generate recommendations for actions to improve processes. Proces Mining in Qlik Sense – yes, we can!"

Project Manager
Siemens Healthineers Computed Tomography
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Mockup of mpmX Dashboard