Research outputs
Peer-reviewed publications, doctoral thesis, manuscripts, and selected outputs on adaptive EMS allocation, prehospital patient safety, dispatch prioritisation, triage, and response-time variability.
Adaptive emergency medical services allocation: crafting the patient safety net in prehospital emergency care
Hill, P. Adaptive emergency medical services allocation: crafting the patient safety net in prehospital emergency care. Doctoral thesis. Karolinska Institutet, Department of Clinical Science and Education, Södersjukhuset. Stockholm, 2026.
DOI: 10.69622/31262914
ISBN: 978-91-8141-015-0
Contribution: Frames EMS allocation as a safety-net problem under uncertainty, integrating dispatch stewardship, patient vulnerability, response-time variability, triage concordance, and governance of scarce response capacity.
Peer-reviewed publications
Stewarding scarce response capacity: an inductive qualitative interview study of emergency medical dispatchers prioritising ambulance resources
Hill P, Lederman J, Jonsson D, Bolin P, Vicente V. BMJ Open. 2026.
Contribution: Examines emergency medical dispatchers’ experiences of prioritising patients and stewarding ambulance resources when system capacity is constrained. The study frames dispatch under scarcity as active stewardship of a safety-critical dispatch queue.
Uncovering nonlinear patterns in time-sensitive prehospital breathing emergencies: an exploratory machine learning study
Hill P, Jonsson D, Lederman J, Bolin P, Vicente V. BMC Medical Informatics and Decision Making. 2025;25:205.
Contribution: Explores how response time, age, and sex interact with high-risk time-sensitive conditions among patients initially reported with breathing problems.
Understanding EMS response times: a machine learning-based analysis
Hill P, Lederman J, Jonsson D, Bolin P, Vicente V. BMC Medical Informatics and Decision Making. 2025;25:143.
Contribution: Examines multifactorial determinants of EMS response-time variability using register-based data and machine learning methods.
Additional manuscripts and preprints
Concordance between dispatch suspicion, on-scene phenotype, and time-sensitive triage
Full title: Concordance Between Dispatch Suspicion, On-Scene Phenotype, and Time Sensitive Triage in Prehospital Infectious Presentations: A Retrospective Machine-Learning Study.
Contribution: Maps how dispatch suspicion, early on-scene phenotype, and high-risk triage align in infectious EMS presentations.
Publication status is listed conservatively. Operational claims, deployment readiness, and causal interpretation are avoided unless supported by study design and prospective evaluation.
