TY - GEN
T1 - Towards standards based health data extraction facilitating process mining
AU - Helm, Emmanuel
AU - Traxler, Barbara
AU - Schuler, Andreas Hannes
AU - Krauss, Oliver
AU - Küng, Josef
N1 - Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017
Y1 - 2017
N2 - As an evidence based business process analysis method, process mining can be used to investigate variations in clinical practice and delivery of care. However, to enable cross-organizational comparative analysis, healthcare institutions need a common ground for the description and representation of health data. In this work, we analyze different approaches, to describe clinical and patient pathways. The Healthcare Reference Model represents a bottom-up approach, the HL7 v3 RIM as a generic health information model represents a top-down approach and HL7 FHIR, the newest standard of the HL7 family stands in-between. We highlight similarities and differences according to interoperability and process mining tasks. We conclude that a standards (RIM) based top-down approach, and the derived FHIR approach respectively, is able to provide similar insights and, on top of that, operational support for the ETL process on all interoperability levels.
AB - As an evidence based business process analysis method, process mining can be used to investigate variations in clinical practice and delivery of care. However, to enable cross-organizational comparative analysis, healthcare institutions need a common ground for the description and representation of health data. In this work, we analyze different approaches, to describe clinical and patient pathways. The Healthcare Reference Model represents a bottom-up approach, the HL7 v3 RIM as a generic health information model represents a top-down approach and HL7 FHIR, the newest standard of the HL7 family stands in-between. We highlight similarities and differences according to interoperability and process mining tasks. We conclude that a standards (RIM) based top-down approach, and the derived FHIR approach respectively, is able to provide similar insights and, on top of that, operational support for the ETL process on all interoperability levels.
KW - Data Extraction
KW - Evidence Based Medicine
KW - Process Mining
KW - Semantic Interoperability
UR - http://www.scopus.com/inward/record.url?scp=85035093931&partnerID=8YFLogxK
M3 - Conference contribution
T3 - 6th International Workshop on Innovative Simulation for Health Care, IWISH 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017
SP - 20
EP - 25
BT - 6th International Workshop on Innovative Simulation for Health Care, IWISH 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017
A2 - Frascio, Marco
A2 - Bruzzone, Agostino
A2 - Longo, Francesco
A2 - Novak, Vera
PB - CAL-TEK S.r.l.
T2 - 6th International Workshop on Innovative Simulation for Health Care, IWISH 2017
Y2 - 18 September 2017 through 20 September 2017
ER -