Abstract
Cost, time and resources are major factors affecting the quality of hospitals business processes. Bio-medical processes are twisted, unstructured and based on time series making it difficult to do proper process modeling for them. On other hand, Process mining can be used to provide an accurate view of biomedical processes and their execution. Extracting process models from biomedical code sequenced data logs is a big challenge for process mining as it doesn’t provide business entities for workflow modeling. This paper explores application of process mining in biomedical domain through real-time case study of hepatitis patients. To generate event logs from big datasets, preprocessing techniques and LOG Generator tool is designed. To reduce complexity of generated process model, a multilevel process mining framework including text similarity clustering algorithm based on Levenshtein Distance is proposed for event logs to eliminate spaghetti processes. Social network models and four distinct types of sub workflow models are evaluated using specific process mining algorithms.
Highlights
Information retrieval is a big challenge in IT as the data is rapidly increasing day by day
At First, we provide a basic overview of process mining and its applications to business process management domain
To eliminate spaghetti processes and based on structure of biomedical activities, we propose multi-level process mining framework for event logs to generate multi process models shown in figure 4
Summary
Information retrieval is a big challenge in IT as the data is rapidly increasing day by day. Hospitals have greater importance to process management as compared to any other organization as they have problems related to resources, cost and time management. Ahsan et al describes importance of healthcare enterprise architecture as it has more potential to facilitate healthcare units and business processes as a strategy to reduce critical factors and improve business processes [5]. Biomedical processes are unstructured, twisted and based on time series, making it impossible for business analysts to do process modeling for them due lack of internal knowledge and code sequences. Another problem in biomedical process management is that there are thousands of biomedical experiments taken on patients on regular basis. Process modeling for them can only be possible through an automatic process generation system
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