A Process Model for IT Migrations in the Context of a Hospital Merger:  Results from an Austrian Case Study

Katharina Steininger; Birgit Kempinger; Stefan Schiffer; Gustav Pomberger

doi:10.3233/978-1-61499-645-3-182

A Process Model for IT Migrations in the Context of a Hospital Merger: Results from an Austrian Case Study

Katharina Steininger, Birgit Kempinger, Stefan Schiffer, Gustav Pomberger

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

3 Citations (Scopus)

Abstract

In 2016, a new university hospital merged from three former independent Austrian hospitals started its operation. This paper presents a process model developed to coordinate the IT migration after the merger, using five phases to meet the requirements of the specific setting. A methodological mix of interviews, surveys and workshops was applied during the IT migration process. High stakeholder participation and a transparent methodical approach led to a broad agreement on success factors, migration objectives, and evaluation results. Thus, acceptance for the finally selected migration scenario was very high among employees, which is known to be crucial for the success of migration projects.

Original language	English
Title of host publication	Health Informatics Meets eHealth
Subtitle of host publication	Predictive Modeling in Healthcare - From Prediction to Prevention, Proceedings of the 10th eHealth 2016 Conference
Editors	Elske Ammenwerth, Gunter Schreier, Alexander Horbst, Dieter Hayn
Publisher	IOS Press
Pages	182-190
Number of pages	9
Volume	223
ISBN (Electronic)	9781614996446
DOIs	https://doi.org/10.3233/978-1-61499-645-3-182
Publication status	Published - 2016
Externally published	Yes
Event	2016 10th Annual Conference on Health Informatics Meets eHealth, eHealth 2016 - Vienna, Austria Duration: 24 May 2016 → 25 May 2016

Publication series

Name	Studies in health technology and informatics
ISSN (Print)	0926-9630

Conference

Conference	2016 10th Annual Conference on Health Informatics Meets eHealth, eHealth 2016
Country/Territory	Austria
City	Vienna
Period	24.05.2016 → 25.05.2016

Keywords

Hospital information system
Hospital merger
It migration
Migration scenario
Medical Records Systems, Computerized/standards
Austria
Health Facility Merger/organization & administration
Humans
Hospitals, University
Systems Integration
Information Technology

Access to Document

10.3233/978-1-61499-645-3-182Licence: CC BY-NC

Cite this

Steininger, K., Kempinger, B., Schiffer, S., & Pomberger, G. (2016). A Process Model for IT Migrations in the Context of a Hospital Merger: Results from an Austrian Case Study. In E. Ammenwerth, G. Schreier, A. Horbst, & D. Hayn (Eds.), Health Informatics Meets eHealth: Predictive Modeling in Healthcare - From Prediction to Prevention, Proceedings of the 10th eHealth 2016 Conference (Vol. 223, pp. 182-190). (Studies in health technology and informatics). IOS Press. https://doi.org/10.3233/978-1-61499-645-3-182

Steininger, Katharina ; Kempinger, Birgit ; Schiffer, Stefan et al. / A Process Model for IT Migrations in the Context of a Hospital Merger : Results from an Austrian Case Study. Health Informatics Meets eHealth: Predictive Modeling in Healthcare - From Prediction to Prevention, Proceedings of the 10th eHealth 2016 Conference. editor / Elske Ammenwerth ; Gunter Schreier ; Alexander Horbst ; Dieter Hayn. Vol. 223 IOS Press, 2016. pp. 182-190 (Studies in health technology and informatics).

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title = "A Process Model for IT Migrations in the Context of a Hospital Merger: Results from an Austrian Case Study",

abstract = "In 2016, a new university hospital merged from three former independent Austrian hospitals started its operation. This paper presents a process model developed to coordinate the IT migration after the merger, using five phases to meet the requirements of the specific setting. A methodological mix of interviews, surveys and workshops was applied during the IT migration process. High stakeholder participation and a transparent methodical approach led to a broad agreement on success factors, migration objectives, and evaluation results. Thus, acceptance for the finally selected migration scenario was very high among employees, which is known to be crucial for the success of migration projects.",

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note = "Publisher Copyright: {\textcopyright} 2016 The authors and IOS Press. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.; 2016 10th Annual Conference on Health Informatics Meets eHealth, eHealth 2016 ; Conference date: 24-05-2016 Through 25-05-2016",

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Steininger, K, Kempinger, B, Schiffer, S & Pomberger, G 2016, A Process Model for IT Migrations in the Context of a Hospital Merger: Results from an Austrian Case Study. in E Ammenwerth, G Schreier, A Horbst & D Hayn (eds), Health Informatics Meets eHealth: Predictive Modeling in Healthcare - From Prediction to Prevention, Proceedings of the 10th eHealth 2016 Conference. vol. 223, Studies in health technology and informatics, IOS Press, pp. 182-190, 2016 10th Annual Conference on Health Informatics Meets eHealth, eHealth 2016, Vienna, Austria, 24.05.2016. https://doi.org/10.3233/978-1-61499-645-3-182

A Process Model for IT Migrations in the Context of a Hospital Merger: Results from an Austrian Case Study. / Steininger, Katharina; Kempinger, Birgit; Schiffer, Stefan et al.
Health Informatics Meets eHealth: Predictive Modeling in Healthcare - From Prediction to Prevention, Proceedings of the 10th eHealth 2016 Conference. ed. / Elske Ammenwerth; Gunter Schreier; Alexander Horbst; Dieter Hayn. Vol. 223 IOS Press, 2016. p. 182-190 (Studies in health technology and informatics).

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

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Steininger K, Kempinger B, Schiffer S, Pomberger G. A Process Model for IT Migrations in the Context of a Hospital Merger: Results from an Austrian Case Study. In Ammenwerth E, Schreier G, Horbst A, Hayn D, editors, Health Informatics Meets eHealth: Predictive Modeling in Healthcare - From Prediction to Prevention, Proceedings of the 10th eHealth 2016 Conference. Vol. 223. IOS Press. 2016. p. 182-190. (Studies in health technology and informatics). doi: 10.3233/978-1-61499-645-3-182