Towards Process Mining in Radiology: Utilization of IHE SOLE

Emmanuel Helm

doi:10.3233/SHTI200082

Towards Process Mining in Radiology: Utilization of IHE SOLE

Emmanuel Helm

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

Background: Audit trails of health information systems are not useful for business analytics. Objectives: To show how recent developments can be utilized to enable process mining in radiology. Methods: The SWIM lexicon is used to code the workflow steps. Results: Seven activities with their corresponding RadLex codes. Conclusion: The semantic enrichment of audit trails is an important step in operationalizing and improving the workflows in radiology.

Original language	English
Title of host publication	dHealth 2020 - Biomedical Informatics for Health and Care
Publisher	IOS Press Amsterdam
Pages	108-109
Number of pages	2
Volume	271
ISBN (Print)	978-1-64368-084-2
DOIs	https://doi.org/10.3233/SHTI200082
Publication status	Published - 23 Jun 2020
Event	dHealth 2020 - Wien, Austria Duration: 20 May 2020 → 20 May 2020 https://www.dhealth.at/

Publication series

Name	Studies in health technology and informatics

Conference

Conference	dHealth 2020
Country/Territory	Austria
City	Wien
Period	20.05.2020 → 20.05.2020
Internet address	https://www.dhealth.at/

Keywords

biomedical ontologies
health care
process assessment

Access to Document

10.3233/SHTI200082Licence: CC BY-NC

Cite this

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title = "Towards Process Mining in Radiology: Utilization of IHE SOLE",

abstract = "Background: Audit trails of health information systems are not useful for business analytics. Objectives: To show how recent developments can be utilized to enable process mining in radiology. Methods: The SWIM lexicon is used to code the workflow steps. Results: Seven activities with their corresponding RadLex codes. Conclusion: The semantic enrichment of audit trails is an important step in operationalizing and improving the workflows in radiology.",

keywords = "biomedical ontologies, health care, process assessment",

author = "Emmanuel Helm",

note = "Publisher Copyright: {\textcopyright} 2020 The authors, AIT Austrian Institute of Technology and IOS Press. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; dHealth 2020 ; Conference date: 20-05-2020 Through 20-05-2020",

year = "2020",

month = jun,

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doi = "10.3233/SHTI200082",

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AU - Helm, Emmanuel

PY - 2020/6/23

Y1 - 2020/6/23

N2 - Background: Audit trails of health information systems are not useful for business analytics. Objectives: To show how recent developments can be utilized to enable process mining in radiology. Methods: The SWIM lexicon is used to code the workflow steps. Results: Seven activities with their corresponding RadLex codes. Conclusion: The semantic enrichment of audit trails is an important step in operationalizing and improving the workflows in radiology.

AB - Background: Audit trails of health information systems are not useful for business analytics. Objectives: To show how recent developments can be utilized to enable process mining in radiology. Methods: The SWIM lexicon is used to code the workflow steps. Results: Seven activities with their corresponding RadLex codes. Conclusion: The semantic enrichment of audit trails is an important step in operationalizing and improving the workflows in radiology.

KW - biomedical ontologies

KW - health care

KW - process assessment

UR - https://www.scopus.com/pages/publications/85087041126

U2 - 10.3233/SHTI200082

DO - 10.3233/SHTI200082

M3 - Conference contribution

SN - 978-1-64368-084-2

VL - 271

T3 - Studies in health technology and informatics

SP - 108

EP - 109

BT - dHealth 2020 - Biomedical Informatics for Health and Care

PB - IOS Press Amsterdam

T2 - dHealth 2020

Y2 - 20 May 2020 through 20 May 2020

ER -

Towards Process Mining in Radiology: Utilization of IHE SOLE

Abstract

Publication series

Conference

Keywords

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