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Task Mining vs Process Mining : Revolutionising Healthcare Operations

Introduction In the digital era, healthcare organisations are constantly seeking new ways to improve their operations and patient care. One area that has seen significant growth is the application of data analytics and process optimisation. Two innovative approaches in this realm are task mining and process mining.

Both have the potential to revolutionise the healthcare industry by identifying inefficiencies, streamlining processes, and improving overall service quality and patient experience.

In this blog article, we'll explore the differences between task mining and process mining, as well as how these techniques can be applied in healthcare to optimise patient care and operational efficiency.

Task Mining: Uncovering Employee Work Patterns Task mining is a data-driven method that focuses on understanding how employees execute tasks in their day-to-day work. By utilising technology such as screen recording, keystroke logging, and user interaction data, task mining provides insights into how individuals interact with software applications and complete tasks.

This information is then analysed to identify patterns, inefficiencies, and opportunities for improvement.

In healthcare, task mining can be used to optimise various aspects of hospital and clinic operations, such as:

  1. Medical Documentation: By analysing how healthcare professionals input data into electronic health records (EHRs), task mining can identify repetitive or time-consuming tasks, leading to the development of more streamlined processes.

  2. Appointment Scheduling: Task mining can reveal inefficiencies in appointment booking and rescheduling, allowing for the development of more effective and patient-centric scheduling systems.

  3. Outpatient Flows: By identifying bottlenecks in patient flow in a busy outpatients department, task mining can help to streamline these processes, reducing errors and improving overall efficiency.

Process Mining: Analysing End-to-End Workflows

While task mining focuses on individual tasks, process mining takes a broader view by examining entire business processes. Process mining uses event logs generated by software systems to create visual representations of end-to-end workflows.

By doing so, it helps organisations identify inefficiencies, bottlenecks, and deviations from standard processes.

Process mining in healthcare can be applied to various areas, such as:

  1. Patient Flow Management: Process mining can help hospitals and clinics optimize patient flow by identifying bottlenecks, waiting times, and inefficiencies in the treatment process, ultimately improving patient experience and care.

  2. Supply Chain Management: By analysing procurement, inventory management, and distribution processes, process mining can identify opportunities for cost savings and efficiency improvements.

  3. Clinical Pathways: Process mining can be used to analyse clinical pathways, such as the diagnosis and treatment of specific conditions, helping healthcare organisations identify best practices and areas for improvement.

Combining Task Mining and Process Mining in Healthcare

Both task mining and process mining offer unique insights into healthcare operations. When combined, these approaches can provide a comprehensive view of an organisation's workflows, allowing for targeted improvements in efficiency and patient care.

For example, task mining can identify inefficiencies in individual tasks, such as data entry or appointment scheduling. This information can then be combined with process mining insights to create a more holistic view of how these tasks impact overall workflows, such as patient flow management or clinical pathways.

By addressing inefficiencies at both the task and process level, healthcare organisations can achieve significant improvements in their operations.


The application of task mining and process mining in healthcare can lead to significant improvements in efficiency, cost reduction, and patient care. By identifying inefficiencies in both individual tasks and end-to-end processes, these techniques offer healthcare organisations the opportunity to revolutionise their operations and deliver better care to their patients.

As healthcare continues to embrace digital transformation, the use of task mining and process mining will become increasingly important in driving operational excellence and improving patient outcomes.

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