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Developing and Organizing an Analytics Capability for Patient Flow in a General Hospital
Department of Informatics, University of Oslo, Oslo, Norway.
Department of Informatics, University of Oslo, Oslo, Norway.
Østfold Hospital, Grålum, Norway.
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Man and Information technology laboratory (MI-lab).ORCID iD: 0000-0002-6453-3653
2019 (English)In: Information Systems Frontiers, ISSN 1387-3326, E-ISSN 1572-9419Article in journal (Refereed) Published
Abstract [en]

Much of the information produced in hospitals is clinical, and stored for the purposes of documentation. In practice, most of it is never used. The potential of analytics is to reuse this information for other purposes. This is easier said than done, because of technical, semantic, legal and organizational hindrances. In particular, hospitals are not organized to leverage the value of big data. In this study we ask, how can we conceptualize analytics as an integrated part of hospital processes? And, how can we develop and organize an analytics capability in a large hospital? Our empirical evidence is a longitudinal study in a high-tech hospital in Norway, where we followed the development of an analytics capability, and assessed the organizational benefits. We offer two findings. First, we show how the analytics process interacts with the hospital logistics processes in a sense- and respond cycle. Second, we demonstrate how analytics capability is built on the institutionalized network of technology, an analytics team and the administrative and clinical decision makers. © 2019, Springer Science+Business Media, LLC, part of Springer Nature.

Place, publisher, year, edition, pages
New York: Springer-Verlag New York, 2019.
Keywords [en]
Analytics capability, Digital infrastructure, Hospital analytics, Decision making, Semantics, Clinical decision, Digital infrastructures, General hospitals, Hospital logistics, Large hospitals, Longitudinal study, Patient flow, Hospitals
National Category
Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:hh:diva-41551DOI: 10.1007/s10796-019-09920-2Scopus ID: 2-s2.0-85065311625OAI: oai:DiVA.org:hh-41551DiVA, id: diva2:1390926
Available from: 2020-02-03 Created: 2020-02-03 Last updated: 2020-03-20Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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Output format
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