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Clinical Processes and Its Data, What Can We Do with Them?

Global healthcare services have evolved over time, and nowadays they are expected to follow high-quality 
 
optimized standards. Analyzing healthcare processes has become a relevant field of study, and different 
 
techniques and tools have been developed to promote improvements in the efficiency and effectiveness of 
 
these processes. There is a research field called process mining that can be used to extract knowledge from 
 
the event data stored in the hospital information systems. With the help of this, it is possible to discover the 
 
real executed process, examine its performance and analyze the resource interaction during its execution. 
 
The goal of this article is to provide a bibliographic survey about the use of process mining algorithms, 
 
techniques, and tools in the analysis of healthcare processes, providing a general overview about the main 
 
approaches previously used and the information required to apply them in the medical field. We provide 
 
important insights about data, algorithms, techniques and methodologies that are required to help answer 
 
medical expert questions about their processes, motivating and inspiring a broader usage. So, if we have the 
 
information and it is possible to analyze and understand the healthcare processes, why are we not doing it?