Process Mining in Healthcare
Process Mining in Healthcare

Today, the healthcare sector is confronted with complex processes and high cost pressure with equally high quality requirements.

While the individual process steps are often clearly specified from a technical point of view, the real sequences of overall processes are usually non-transparent and part of the business is lived by employees to whom a process perspective is new at a high level of commitment. T

his makes it all the more important to have tools that can visualize and analyze the actual processes in their area of responsibility, and that can be used to make fact-based decisions about changes whose impact can be checked in a timely manner.

Process mining makes it possible to reconstruct what actually happened for all processes from the abundant digital data.The processes are placed in a common context, deviations from what is expected and allowed are identified, and the causes can be investigated.

With  iVIEW .Process Mining, the process perspective becomes available in the context of proven BI-Tools as Power BI and Qlik Sense, eliminating the need for employees to learn new tools and keeping the effort required to connect to source systems low.

Use Cases in Healthcare

The consolidation of medical, administrative and business data from all hospital information systems and business management data makes actual process flows transparent, down to the individual case.

Analyses and reports can be created and customized individually, and existing reports can be extended to include the process perspective.

Common questions are:

  • Duration of stay

    • What is the correlation between the length of stay of a case and other parameters such as admission, additional diagnoses and other parameters from the case history and treatment steps?
    • Where do deviations from specifications occur here?
  • Relocations

    • What periods elapse between transfers, where are loops made and where are bottlenecks created?
    • What influence does this have on the length of stay?
  • Medical examinations

    • How are multiple examinations related to diagnoses and specific case sequences?
  • Treatment process

    • Which organizational units delayed process steps? Which dependencies exist?
  • Compliance / conformity with rules

    • Are predefined rules and regulations adhered to in process flows - both at the business and medical level?
    • Where are there deviations and how are they related to the performers or case parameters?
  • Billing

    • Is billing done in a timely manner?
    • Where is there a mismatch between case costs and billable services?


Companies know their business processes - but usually rather theoretically. In fact, there is often a lack of full process transparency.

The reasons are manifold - work processes are perceived subjectively, steps are added unconsciously. And employees usually only know about sub-processes related to their work. In addition, processes change, for example due to new compliance requirements or changed customer needs. And finally, the intended process flow does not always fit, for example in the case of special, non-standard production requirements.

And this is exactly where process mining comes into play, the automated analysis of business processes based on digital traces in IT systems


Discover more

Process Mining - Knowing how what really works