Process mining in healthcare: data challenges when answering frequently posed questions

Authors:
Ronny S. Mans;Wil M. P. van der Aalst;Rob J. B. Vanwersch;Arnold J. Moleman
Affiliations:
Department of Information Systems, Eindhoven University of Technology, Eindhoven, The Netherlands;Department of Information Systems, Eindhoven University of Technology, Eindhoven, The Netherlands;Department of Information Systems, Eindhoven University of Technology, Eindhoven, The Netherlands;Department of Quality Assurance and Process Innovation, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
Venue:
BPM' 2012 Proceedings of the 2012 international conference on Process Support and Knowledge Representation in Health Care
Year:
2012

Citing 8
Cited 1

IT support for healthcare processes - premises, challenges, perspectives

Data & Knowledge Engineering
Process Mining towards Semantics

Advances in Web Semantics I
Outlier detection techniques for process mining applications

ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
Combining business process and data discovery techniques for analyzing and improving integrated care pathways

ICDM'10 Proceedings of the 10th industrial conference on Advances in data mining: applications and theoretical aspects
Process Mining: Discovery, Conformance and Enhancement of Business Processes

Process Mining: Discovery, Conformance and Enhancement of Business Processes
Business process analysis in healthcare environments: A methodology based on process mining

Information Systems
Abnormal Process Instances Identification Method in Healthcare Environment

TRUSTCOM '11 Proceedings of the 2011IEEE 10th International Conference on Trust, Security and Privacy in Computing and Communications
Context-Aware compliance checking

BPM'12 Proceedings of the 10th international conference on Business Process Management

Investigating clinical care pathways correlated with outcomes

BPM'13 Proceedings of the 11th international conference on Business Process Management

Quantified Score

Hi-index	0.00

Visualization

Abstract

In hospitals, huge amounts of data are recorded concerning the diagnosis and treatments of patients. Process mining can exploit such data and provide an accurate view on healthcare processes and show how they are really executed. In this paper, we describe the different types of event data found in current Hospital Information Systems (HISs). Based on this classification of available data, open problems and challenges are discussed that need to be solved in order to increase the uptake of process mining in healthcare.