Public defence (Karolinska Institutet) — 27 April 2026, 13:00 (Stockholm). Attend on site or via Microsoft Teams.
Academic research programme
Adaptive EMS Allocation under Operational Uncertainty
A systems-oriented examination of dispatch and allocation as a patient safety net—using qualitative evidence, observational analyses, and interpretability-first exploratory modelling with emphasis on response-time distributions, tail delays, and vulnerability.
Abstract visual only. No identifiable patient data displayed.
Affiliation
Karolinska Institutet · Region Stockholm
Setting
Prehospital emergency care · Dispatch & response-time management
Approach
Qualitative + observational · interpretability-first exploratory modelling
Outputs
Papers · Manuscripts · Posters · Thesis (forthcoming)
What the research does
This programme studies EMS as a patient safety net operating under uncertainty: demand fluctuates, information is incomplete at the moment of the call, and unit availability changes continuously. These conditions create unavoidable trade-offs that are not well described by single response-time targets. Instead, the programme evaluates response-time distributions—particularly tail delays—and how delay burden aligns with vulnerability across patient groups.
Interpretation guardrail: Where machine learning is used, it is applied as an interpretable measurement tool—not as a deployable automation system for dispatch or triage.
Studies I–IV
Study I — Dispatcher work under scarcity
How dispatchers prioritise and coordinate allocation when multiple calls compete for limited resources.
Status: Manuscript
Study II — Breathing emergencies: conditional risk
Interpretability-first exploratory modelling of non-linear patterns and heterogeneity relevant to delay burden.
Status: Published
Study III — Infection presentations: concordance
Alignment across dispatch reason, on-scene phenotype (ESS), and high-risk triage—interpreted in the presence of prioritisation.
Status: Manuscript
Study IV — Drivers of response-time variability
Response time as a systems metric shaped by interacting operational and contextual factors, including tail delays.
Status: Published
Compilation thesis (teaser)
A compilation thesis integrating Studies I–IV is in preparation. This site describes scope and interpretation principles without reproducing unpublished thesis text.
Collaboration & contact
For collaboration, requests for shareable materials, or methodological discussion, please use the contact page.
Adaptive EMS Allocation 