Kristóf, Tamás
ORCID: https://orcid.org/0000-0003-2805-4900, Mesko, Bertalan
ORCID: https://orcid.org/0000-0002-7005-7083 and Csató, Gábor
ORCID: https://orcid.org/0009-0004-3569-4871
(2026)
Advancing healthcare foresight: insights from the ‘National Ambulance Service 2040’ project.
European Journal of Futures Research, 14
(1).
pp. 1-14.
DOI https://doi.org/10.1186/s40309-026-00275-x
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Official URL: https://doi.org/10.1186/s40309-026-00275-x
Abstract
Healthcare systems face escalating long-term uncertainty due to technological advancement, demographic shifts, and heightened social demands, yet foresight is still insufficiently employed within mission-critical healthcare institutions. This article contributes to futures studies by providing a comprehensive empirical case of applied, participatory, and normative foresight conducted within a national ambulance service. Drawing on the ‘National Ambulance Service 2040’ project in Hungary, the findings indicate how classic foresight methods – STEEP analysis, scenario development, futures wheel, and visioning – can be systematically combined and embedded in organizational decision-making under real-world constraints. The case demonstrates how foresight enhances anticipatory capacity building, strategic sensemaking, and normative alignment within a high-pressure public service context. Methodologically, the article advances applied futures studies by evidencing the complementarity of foresight tools and by highlighting the performative role of visioning as a governance and mobilization mechanism. Substantively, the findings show that foresight can be both cost-effective and impactful in publicly funded, resource-constrained healthcare systems. By extending healthcare foresight into the largely unexplored domain of emergency medical services, the article positions healthcare as a fertile site for methodological advancement in futures studies. The article also offers policy-relevant insights into anticipatory governance, workforce readiness, and the ethical incorporation of artificial intelligence in healthcare.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Medical futures studies; Healthcare foresight; STEEP analysis; Scenario analysis; Futures wheel; Visioning |
| Divisions: | Institute of Entrepreneurship and Innovation |
| Subjects: | Social welfare, insurance, health care Futures Research |
| DOI: | https://doi.org/10.1186/s40309-026-00275-x |
| ID Code: | 13030 |
| Deposited By: | MTMT SWORD |
| Deposited On: | 06 Jul 2026 12:20 |
| Last Modified: | 06 Jul 2026 12:20 |
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