Miria Grisot

• Kannelønning, Mari Serine & Grisot, Miria (2026). Collective efforts for the introduction of AI in healthcare: An empirical study of two Norwegian initiatives. Tidsskrift for forskning i sygdom og samfund. ISSN 1604-3405. 25(44), p. 100–123. doi: 10.7146/tfss.v25i44.156499. Full text in Research Archive Show summary

  The collective dimension of AI is crucial to ensure sustainable and ethical outcomes of AI implementation in society; accordingly, the introduction of AI in healthcare is a collective concern. In this paper, we examine this collective dimension of AI introduction by drawing on an empirical longitudinal case study of two initiatives aimed at introducing AI into the Norwegian public healthcare services. The first initiative is an inquiry process led by the Norwegian Directorate of Health, as part of a project initiated by a government policy plan outlining a vision for AI in healthcare. The second initiative is a nationwide, informally established network of professionals engaged with AI in healthcare. Drawing on insights on hybrid knowledge production in collective efforts, as well as practice-oriented and relational understandings of technology, our analysis of the two initiatives focuses on how the collective effort was carried out, the role of the orchestrators and the implications of such efforts on their outcomes. Our findings show that the two initiatives, while seeking to produce hybrid knowledge on how to best introduce AI in healthcare, faced different challenges, both in generating such knowledge, in achieving consensus-based results and in enacting visions of AI in healthcare oriented to clinical practice. We suggest that to contribute to a consensus-based and inclusive introduction of AI in healthcare, collective efforts should pay attention to the inclusion of heterogeneous stakeholders and their interaction modes, the politics of agenda settings and modes of orchestration.

• Zimmer, Markus Philipp; Vassilakopoulou, Polyxeni; Grisot, Miria & Niemimaa, Marko Ilmari (2026). Embracing contrarian thinking: value-reflexive research for a better world. European Journal of Information Systems. ISSN 0960-085X. 35(2), p. 165–177. doi: 10.1080/0960085x.2026.2648981. Full text in Research Archive Show summary

  Scientific progress relies on contrarian thinking that questions assumptions shaping how scholars frame, study, or theorize phenomena. Unexamined, such assumptions perpetuate the same views, practices, and explanations, building entrenched research trajectories that limit scholarly debate on understanding the world. If we are interested in a healthy Information Systems (IS) discipline that contributes to a better world, we require precisely this openness to different understandings of the world. Therefore, for this special issue, we invited original submissions that embrace contrarian thinking and engage in value-reflexivity when investigating and theorizing about digital phenomena. In this editorial, we synthesize previous work to define contrarian thinking and link it to value-reflexivity. We then present how the special issue articles embrace such thinking through value-reflexivity. Our contribution to IS research is twofold: first, we illustrate the importance of such thinking for triggering and upholding vigorous debate on phenomena, research methods, and theory; second, we invite and encourage scholars to embrace contrarian thinking through value-reflexivity. By bringing contrarian thinking through value-reflexivity into explicit consideration, we hope to foster the boldness required for new, and even radical ideas for IS research to thrive and contribute to a better world.

• Thunes, Johanne; Kempton, Alexander Moltubakk & Grisot, Miria (2025). Making Health Data Infrastructures. An infrastructuring perspective on data work perspective on data work. Scandinavian Journal of Information Systems (SJIS). ISSN 0905-0167. 37. doi: 10.17705/3SJIS/037.29. Full text in Research Archive Show summary

  Healthcare organizations strive to become increasingly data-driven. Achieving this vision requires significant efforts to make data accessible, intelligible, and integrated into healthcare practices. In this paper, we explore data work as infrastructuring, focusing on the ongoing practices required to make and maintain data infrastructures in municipal healthcare. Based on an interpretive case study of a Scandinavian health agency, we identify four distinct data infrastructuring work practices: accessing, structuring, reconfiguring, and visualizing data. Our findings show how these practices enable a sociotechnical network of health data embedded in local practices. Through this study, we make three contributions to the research on data work. First, our findings expand the empirical knowledge on data work in healthcare by showing data work in the backrooms of healthcare where data infrastructures are set up and developed. Second, we contribute to the conceptualization of data work by framing it as infrastructuring, meaning data work aimed at enabling a sociotechnical network of health data embedded in local practices. Third, we elaborate on this conceptualization by showing how it involves efforts at transforming data from objects of work to embedded enablers of work.

• Soetens, Esli; Kannelønning, Mari Serine & Grisot, Miria (2025). "Frictions In AI Implementation In Specialised Norwegian Healthcare: An interview-based study". In Li, Magnus; Hylving, Lena & Mønsted, Troels Sune (Ed.), The proceedings of the 16th Scandinavian Conference on Information Systems (SCIS) held in Oslo, Norway, 2025. Association for Information Systems (AIS). ISSN 9781958200148. doi: https:/aisel.aisnet.org/scis2025/3. Full text in Research Archive Show summary

  AI technologies are envisioned as a solution to current societal challenges, including in the healthcare sector. However, their implementation in real-world hospital settings remains limited. In this paper we examine the slow implementation of AI in healthcare as a problem of installed base constraints. AI technologies are fundamentally different from traditional medical information technology. However, existing implementation practices are still shaped by regulations, development and implementation approaches established for conventional medical information technologies, constituting the installed base. We examine these constraints as frictions between novel AI technologies and the installed base through an interview-based study with 14 interviews with 11 experts in the Norwegian healthcare sector. We address the following research question: How do frictions between novel AI technologies and the existing sociotechnical installed base shape the process of AI implementation in public hospitals? Our findings reveal seven key frictions relating to data complexities, hospital information infrastructures, regulatory landscape, resource requirements, accountability, implementation strategies, and incentive structures. We contribute to understanding the shift needed to support the implementation and use of AI technologies in healthcare.

• Li, Hong & Grisot, Miria (2025). Toward the cocreation of digital remote care service ecosystems. In Suoheimo, Mari Eveliina (Eds.), Systemic Service Design : Design for Social Responsibility. Routledge. ISSN 9781032817194. p. 236–257. doi: 10.4324/9781003501039-14. Full text in Research Archive
• Li, Hong & Grisot, Miria (2024). Journey mapping the digital remote care services: Problems and opportunities for a large-scale implementation in China. Procedia Computer Science. 239, p. 1483–1490. doi: 10.1016/j.procs.2024.06.322. Full text in Research Archive Show summary

  Digital remote care has emerged as a transformative approach in the delivery of healthcare services. This paper presents an empirical case study that investigates the utilization of digital remote care for postoperative rehabilitation in a relatively large-scale implementation in China. To gather the empirical data, we employed a mixed-methods approach including observations, document analysis, semi-structured interviews, and a participatory workshop. The findings obtained from these diverse sources were documented and analyzed through journey mapping, which provides a holistic view of the process of delivering digital remote care services. Drawing from the journey map, we gain insights into the specific problems faced by health professionals and use this knowledge to identify areas for improvement. Simultaneously, we recognize opportunities to enhance the overall digital remote care experience and facilitate a successful large-scale implementation.

• Kannelønning, Mari Serine; Grisot, Miria & Williams, Robin (2024). Towards Experimental Implementations: Moving Emerging Artificial Intelligence Technologies into Real-World Clinical Settings. In Miele, Francesco & Giardullo, Paolo (Ed.), Reframing Algorithms. STS perspectives to Healthcare Automation. Palgrave Macmillan. ISSN 9783031520495. p. 147–172. doi: 10.1007/978-3-031-52049-5_7. Full text in Research Archive
• Grisot, Miria & Modol, Joan Rodon (2024). Special Section Introduction. Reflecting and celebrating Ole Hanseth’s contribution to the IS community. Scandinavian Journal of Information Systems (SJIS). ISSN 0905-0167. Full text in Research Archive

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• Grisot, Miria; Sæbø, Johan Ivar & Kempton, Alexander Moltubakk (2025). Selected Papers of the 48th Information Systems Research Seminar in Scandinavia. Association for Information Systems (AIS). Full text in Research Archive Show summary

  The Information Systems Research Seminar in Scandinavia (IRIS) is an annual seminar for Information Systems researchers established in 1978. The 48th IRIS was held in conjunction with the 16th Scandinavian Conference of Information Systems (SCIS). The theme of the seminar and conference was "Challenging Boundaries in Digitalization Research: Towards Inclusivity and Fairness". The event was hosted at Oscarsborg Fortress located in Drøbak, outside of Oslo, Norway, from August 10th to 13th 2025. The papers selected for this issue of the Selected Papers of the IRIS were nominated by the group chairs and have been subjected to a double-blinded peer-review process before the seminar. Before being included in this issue, the papers were revised based on the working group discussions and the review comments.

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• Grisot, Miria & Parmiggiani, Elena (2025). Infrastructures. In Kaufmann, Mareile & Lomell, Heidi Mork (Ed.), De Gruyter Handbook of Digital Criminology. De Gruyter Brill. ISSN 9783111061931. doi: 10.1515/9783111062037-033. Full text in Research Archive Show summary

  Infrastructures, both traditional and digital, are critical to society’s function-ing, with digital advancements improving efficiency but introducing challenges likecybercrime. Their study reveals the complex, interconnected sociotechnical systemsformed through evolving technologies, practices, and regulations. Understandingthese infrastructures is crucial fo

• Kannelønning, Mari Serine & Grisot, Miria (2025). Collective preparation work for enabling algorithmic organising in healthcare. Full text in Research Archive
• Soetens, Esli; Kannelønning, Mari Serine & Grisot, Miria (2024). Exploring approaches to medical AI deployment in Norwegian hospitals: In-house development and commercial procurement. Full text in Research Archive
• Nerland, Monika; Hasu, Mervi; Grisot, Miria; Aanestad, Margunn; Mäkitalo, Åsa & Saari, Eveliina (2024). Which challenges do digitalisation processes present to healthcare workers? ​ ​Implications for professional expertise, identities and competencies from digital innovation initiatives. Full text in Research Archive Show summary

  Symposium comprising three presentations from the project CORPUS: 1) Shifting demands to professional expertise and opportunities for learning in everyday care work ​ (Monika Nerland & Åsa Mäkitalo);​ ​ 2) From care practitioners to back-office service integrators: frontline care workers’ identity formation in digital platform-based care management practice ​ (Mervi Hasu & Eveliina Saari);​ ​ 3) Infrastructural work: competencies required for health workers’ participation in technology design processes ​ (Margunn Aanestad & Miria Grisot). Comments from Davide Nicolini, University of Warwick and Claus Harald Jebsen, BI.

• Lunde, Ida Martinez; Nerland, Monika; Sadorge, Christopher & Grisot, Miria (2024). Implementing Electronic Health Records: Shifts and Obstacles in Machineries of Knowing. Full text in Research Archive
• Grisot, Miria (2024). Data work from a design perspective. Case study on healthcare information infrastructure. Full text in Research Archive
• Grisot, Miria & Aanestad, Margunn (2024). Infrastructuring as management practice: competence required for digital infrastructures in healthcare. Full text in Research Archive
• Meum, Torbjørg Træland & Grisot, Miria (2024). Reconfiguring collaborative data work. Full text in Research Archive
• Grisot, Miria (2024). Data work in the design of EHR infrastructure. Full text in Research Archive
• Ellingsen, Gunnar Adelsten; Grisot, Miria; Hertzum, Morten & Islind, Anna Sigridur (2024). Implementing Electronic Health Records - Objectives, Obstacles, Outcomes. Full text in Research Archive
• Kannelønning, Mari Serine; Soetens, Esli & Grisot, Miria (2024). Exploring multimodal AI – scaling AI infrastructures in healthcare. Full text in Research Archive

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