Authors:
Eric Rojas
;
Michael Arias
and
Marcos Sepúlveda
Affiliation:
Pontificia Universidad Católica de Chile, Chile
Keyword(s):
Process Mining, Healthcare Processes, Process Discovery, Healthcare Data, Process Mining Methodology.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Clinical Problems and Applications
;
Data Engineering
;
Enterprise Information Systems
;
Evaluation and Use of Healthcare IT
;
Health Information Systems
;
Healthcare Management Systems
;
Information Systems Analysis and Specification
;
Knowledge Management
;
Ontologies and the Semantic Web
;
Society, e-Business and e-Government
;
Web Information Systems and Technologies
Abstract:
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?
(More)