Process Mining in Healthcare

Optimization potential for greater efficiency

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Process Mining in the healthcare sector: Save time & costs

Healthcare providers in Germany have been facing growing challenges for some time now. Rising costs, staff shortages and increasing documentation requirements are putting clinics, practices and hospitals under pressure. One of the biggest challenges is the lack of time in day-to-day treatment. Doctors and nursing staff spend a large part of their time on administrative tasks - time that is lost in patient care. The result: long waiting times for patients and a loss of treatment quality.

Process Mining for the healthcare sector offers an innovative solution. The method analyses and visualizes actual processes in healthcare facilities using digital traces in IT systems, allowing optimizations to be derived. The evaluation of event logs from hospital information systems (HIS), electronic patient records (ePA) and other systems reveals inefficiencies, bottlenecks and potential for improvement.

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Process Mining in healthcare – an overview of the basics

Process Mining is located at the interface between data science and traditional process management. Process Mining is based on the evaluation of digital traces, also known as “event logs”. These are data left behind by processes in IT systems and contain information about the time, activity and resources involved. In Process Mining, this data or event logs are processed using three techniques: Process Discovery, Conformance Checking and Process Enhancement. Process Discovery automatically creates process models from the existing event data and thus makes the actual processes visible, while Conformance Checking compares these actual processes with defined target processes and identifies deviations. Process Enhancement combines the collected data to uncover potential for improvement.

Process Mining is suitable for a wide variety of use cases in different industries. For example, Process Mining for the retail sector optimizes warehouse logistics and personnel planning, while Process Mining for banks makes it possible to improve customer service and meet regulatory requirements.

Process Mining also offers decisive advantages for healthcare providers: The technology creates transparency about actual treatment pathways and administrative processes. Inefficiencies such as long waiting times or redundant documentation become visible and can be optimized in a targeted manner. The data-based analysis enables more efficient resource planning and helps to shorten throughput times. At the same time, process mining supports the standardization of treatment paths and compliance with medical guidelines.

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This is why Process Mining is important in the healthcare sector

The day-to-day running of hospitals, clinics and surgeries is characterized by inefficiencies in many respects. In emergency departments, unclear responsibilities and a lack of coordination lead to long waiting times for patients. When appointments are made, a lack of organization results in unnecessary idle times. Treatments are also often documented redundantly in different systems, which costs valuable time. Coordination between specialist departments is also unnecessarily complicated, e.g. because findings are not available or appointments for further examinations are not optimally coordinated.

Process Mining offers a systematic approach that tackles these challenges constructively. Process Mining Tools evaluate event logs from hospital information systems and other applications to uncover bottlenecks and optimization potential. Compliance management, which acts as quality control for processes and ensures compliance with legal requirements, is particularly valuable. This ensures improvements in patient safety and ensures that documentation obligations are fulfilled. Process Mining also supports the standardization of treatment procedures and the implementation of evidence-based guidelines. Process Mining also opens up opportunities for cost management in the healthcare sector. By analyzing resource management, hospitals and other facilities can identify waste and non-value-adding activities without compromising on the quality of treatment.

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Our Process Mining tools display for every step in realtime, where outliers currently occur, to correct them before they establish. Improve lead times, costs and quality. Reduce commercial risks through process optimization.

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How Process Mining in healthcare ensures process optimization in hospitals

Process Mining in the healthcare sector ensures process optimization and efficiency improvements in hospital and clinic workflows in a variety of ways. The method streamlines a wide variety of different processes.

Patient adherence to schedules

Analyzing appointment and patient flows through Process Mining reveals patterns in appointment cancellations and delays. This enables healthcare facilities to identify risk factors for no-shows and develop targeted countermeasures. The technology also enables smarter appointment scheduling that takes into account typical delays and minimizes waiting times. Optimized appointment management leads to better utilization of resources and higher patient satisfaction.

Compliance of health data

Process Mining supports healthcare facilities in complying with guidelines. The technology automatically monitors access rights to patient data and documents their use. Deviations from defined compliance guidelines are detected immediately and can be rectified promptly. This ensures the security of sensitive patient data and reduces the documentation effort at the same time.

Patient pathway analysis

Process Mining identifies typical processes and deviations that patients experience on their way through different departments and treatment steps. This uncovers delays, unnecessary waiting times and coordination problems between departments. The insights gained help to optimize clinical pathways and improve cross-departmental collaboration.

Analysis of medical documentation

Process Mining uncovers inefficiencies and redundancies in medical documentation. The method analyzes documentation processes and identifies time-consuming multiple entries or unnecessary work steps. Process Mining in the healthcare sector can also be used to ensure compliance with documentation guidelines when billing health insurance companies.
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Getting Process Mining in the healthcare sector off the ground with process.science

With process.science, implementing Process Mining in your organization is particularly straightforward. Our Process Mining tools can be integrated directly into existing business intelligence platforms such as Microsoft Power BI or Qlik Sense - a separate stand-alone solution is not required. Thanks to comprehensive connectors for all major database and analysis providers, our software offers maximum compatibility. The solution can be used flexibly both on-premise and in common cloud environments. Our Process Mining is carried out without interfering with existing systems and guarantees maximum data security - no data is transmitted to process.science.

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