Infrastructuring in Healthcare through the OpenEHR Architecture

dc.contributor.authorUlriksen, Gro-Hilde
dc.contributor.authorPedersen, Rune
dc.contributor.authorEllingsen, Gunnar
dc.date.accessioned2020-06-06T13:06:22Z
dc.date.available2020-06-06T13:06:22Z
dc.date.issued2017
dc.date.issued2017
dc.description.abstractIn Norway, a national initiative is currently aiming at standardising the electronic patient record (EPR) content based on an openEHR framework. The openEHR architecture, offers users the capability to conduct standardisation and structuration of the EPR content in a distributed manner, through an internet-based tool. Systems based on this architecture, is expected to ensure universal (also internationally) interoperability among all forms of electronic data. A crude estimate is that it is necessary to define somewhere between 1000 and 2000 standardised elements or clinical concepts (so-called archetypes), to constitute a functioning EPR system. Altogether, the collection of defined archetypes constitutes a backbone of an interoperable EPR system lending on the openEHR architecture. We conceptualize the agreed-upon archetypes as a large-scale information infrastructure, and the process of developing the archetypes as a infrastructuring effort. With this as a backdrop, we focus on the following research question: What are the challenges of infrastructuring in a large-scale user-driven standardisation process in healthcare? This question is operationalized into three sub-questions: First, how are the openEHR-based archetypes standardised in practice? Second, what is the role of daily clinical practice, and existing systems in the process of developing archetypes? Third, how may related, but supposedly independent infrastructuring projects shape each other’s progress? We contribute with insight into how power relations and politics shape the infrastructuring process. Empirically, we have studied the formative process of establishing a national information infrastructure based on the openEHR approach in the period 2012–2016 in Norway.de
dc.identifier.doi10.1007/s10606-017-9269-x
dc.identifier.pissn1573-7551
dc.identifier.urihttp://dx.doi.org/10.1007/s10606-017-9269-x
dc.identifier.urihttps://dl.eusset.eu/handle/20.500.12015/3809
dc.publisherSpringer
dc.relation.ispartofComputer Supported Cooperative Work (CSCW): Vol. 26, No. 0
dc.relation.ispartofseriesComputer Supported Cooperative Work (CSCW)
dc.subjectarchetypes
dc.subjectinformation infrastructure
dc.subjectinfrastructuring
dc.subjectopenEHR
dc.subjectstandardisation
dc.subjectuser participation
dc.titleInfrastructuring in Healthcare through the OpenEHR Architecturede
dc.typeText/Journal Article
gi.citation.endPage69
gi.citation.startPage33
gi.citations.count25
gi.citations.elementNiels Martin, Jochen De Weerdt, Carlos Fernández-Llatas, Avigdor Gal, Roberto Gatta, Gema Ibáñez, Owen Johnson, Felix Mannhardt, Luis Marco-Ruiz, Steven Mertens, Jorge Munoz-Gama, Fernando Seoane, Jan Vanthienen, Moe Thandar Wynn, David Baltar Boilève, Jochen Bergs, Mieke Joosten-Melis, Stijn Schretlen, Bart Van Acker (2020): Recommendations for enhancing the usability and understandability of process mining in healthcare, In: Artificial Intelligence in Medicine, doi:10.1016/j.artmed.2020.101962
gi.citations.elementGunnar Ellingsen, Morten Hertzum, Line Melby (2022): The Tension between National and Local Concerns in Preparing for Large-Scale Generic Systems in Healthcare, In: Computer Supported Cooperative Work (CSCW) 3(31), doi:10.1007/s10606-022-09424-9
gi.citations.elementMaryna Khvastova, Michael Witt, Andrea Essenwanger, Julian Sass, Sylvia Thun, Dagmar Krefting (2020): Towards Interoperability in Clinical Research - Enabling FHIR on the Open-Source Research Platform XNAT, In: Journal of Medical Systems 8(44), doi:10.1007/s10916-020-01600-y
gi.citations.elementJoão Rafael Almeida, Alejandro Pazos, José Luís Oliveira (2023): Clinical Data Integration Strategies for Multicenter Studies, In: IFIP Advances in Information and Communication Technology, doi:10.1007/978-3-031-36007-7_13
gi.citations.elementAlex Roehrs, Cristiano André da Costa, Rodrigo da Rosa Righi, Valter Ferreira da Silva, José Roberto Goldim, Douglas C. Schmidt (2019): Analyzing the performance of a blockchain-based personal health record implementation, In: Journal of Biomedical Informatics, doi:10.1016/j.jbi.2019.103140
gi.citations.elementVideha Sharma, Titus Augustine, John Ainsworth, Sabine N. van der Veer (2022): The evaluation of digital transformation in renal transplantation in the United Kingdom: A national interview study, In: International Journal of Medical Informatics, doi:10.1016/j.ijmedinf.2022.104800
gi.citations.elementVolkmar Pipek, Helena Karasti, Geoffrey C. Bowker (2017): A Preface to ‘Infrastructuring and Collaborative Design’, In: Computer Supported Cooperative Work (CSCW) 1-2(26), doi:10.1007/s10606-017-9271-3
gi.citations.elementVille Aula (2019): Institutions, infrastructures, and data friction – Reforming secondary use of health data in Finland, In: Big Data & Society 2(6), doi:10.1177/2053951719875980
gi.citations.elementDebbie Tarenskeen, Rogier van de Wetering, René Bakker, Sjaak Brinkkemper (2020): The Contribution of Conceptual Independence to IT Infrastructure Flexibility: The Case of openEHR, In: Health Policy and Technology 2(9), doi:10.1016/j.hlpt.2020.04.001
gi.citations.elementCarlos Marino (2023): Data Interoperability in the Healthcare Value Chain: A Systematic Literature Review (Preprint), doi:10.2196/preprints.51207
gi.citations.elementOliver Rønn Christensen, Signe Helbo Gregers Sørensen, Anne Stouby Persson, Anne Marie Kanstrup, Adrienne Mannov (2021): The Controversy of Responsibility and Accountability When Maintaining Automatic External Defibrillators, In: Lecture Notes in Computer Science, doi:10.1007/978-3-030-85616-8_23
gi.citations.elementD. Teber, C. Engels, L. Maier-Hein, L. Ayala, S. Onogur, A. Seitel, K. März (2020): Wie weit ist Chirugie 4.0?, In: Der Urologe 9(59), doi:10.1007/s00120-020-01272-z
gi.citations.elementLingtong Min, Xiangang Liu, Deyun Zhou, Yuanjie Zhi, Xiaoyang Li, Qinyi Lv (2021): openEHR Archetypes Reuse Analysis of Clinical Knowledge Manager Instances: Case Study (Preprint), doi:10.2196/preprints.30338
gi.citations.elementKhuloud Abou Amsha, Claus Bossen, Erik Grönvall, Myriam Lewkowicz (2021): Computer-Supported Knotworking, In: Proceedings of the ACM on Human-Computer Interaction CSCW1(5), doi:10.1145/3449199
gi.citations.elementHelena Karasti, Volkmar Pipek, Geoffrey C. Bowker (2018): An Afterword to ‘Infrastructuring and Collaborative Design’, In: Computer Supported Cooperative Work (CSCW) 2(27), doi:10.1007/s10606-017-9305-x
gi.citations.elementRune Pedersen, Luis Marco-Ruiz (2022): Evidence-based biomedical information systems: The road ahead, In: Roadmap to Successful Digital Health Ecosystems, doi:10.1016/b978-0-12-823413-6.00010-0
gi.citations.elementDan Sholler (2020): Infrastructuring as an Occasion for Resistance: Organized Resistance to Policy-Driven Information Infrastructure Development in the U.S. Healthcare Industry, In: Computer Supported Cooperative Work (CSCW) 4(29), doi:10.1007/s10606-020-09375-z
gi.citations.elementDeborah Tarenskeen, Rogier van de Wetering, René Bakker, Sjaak Brinkkemper (2022): Investigating the Impact of Outsourcing on IT Flexibility, In: International Journal of Healthcare Information Systems and Informatics 2(17), doi:10.4018/ijhisi.299955
gi.citations.elementFernanda Famá, José N. Faria, David Portugal (2022): An IoT-based interoperable architecture for wireless biomonitoring of patients with sensor patches, In: Internet of Things, doi:10.1016/j.iot.2022.100547
gi.citations.elementJesper Simonsen, Helena Karasti, Morten Hertzum (2019): Infrastructuring and Participatory Design: Exploring Infrastructural Inversion as Analytic, Empirical and Generative, In: Computer Supported Cooperative Work (CSCW) 1-2(29), doi:10.1007/s10606-019-09365-w
gi.citations.elementChristopher Sadorge, Monika Nerland, Åsa Mäkitalo (2023): Conditioning the work of colleagues: health professionals’ explorative work in technology design, In: Vocations and Learning 1(17), doi:10.1007/s12186-023-09331-0
gi.citations.elementMário W.L. Moreira, Joel J.P.C. Rodrigues, Arun K. Sangaiah, Jalal Al-Muhtadi, Valery Korotaev (2018): Semantic interoperability and pattern classification for a service-oriented architecture in pregnancy care, In: Future Generation Computer Systems, doi:10.1016/j.future.2018.04.031
gi.citations.elementKris McGlinn, Pamela Hussey (2020): An Analysis of Demographic Data in Irish Healthcare Domain to Support Semantic Uplift, In: Lecture Notes in Computer Science, doi:10.1007/978-3-030-50423-6_34
gi.citations.elementJens Rauch, Ursula H. Hübner (2022): Learning Health Systems: Concepts, Principles and Practice for Data-Driven Health, In: Health Informatics, doi:10.1007/978-3-030-91237-6_12
gi.citations.elementBodong Chen (2024): A framework for infrastructuring sustainable innovations in education, In: Journal of the Learning Sciences 3(33), doi:10.1080/10508406.2024.2320159

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