Publikation

Towards Standards Based Health Data Extraction Facilitating Process Mining

Publikation, 2017

Outline

E. Helm, B. Traxler, A. Schuler, O. Krauss, J. Küng - Towards Standards Based Health Data Extraction Facilitating Process Mining - International Workshop on Innovative Simulation for Health Care 2017, Barcelona, Spanien, 2017

Abstract

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.