Outputs

Publicly shareable outputs

Peer-reviewed papers and publicly shareable outputs are listed below. Manuscripts are listed without full text until materials are shareable under governance requirements.

Study II — Breathing emergencies
Hill, P., Jonsson, D., Lederman, J. et al. Uncovering nonlinear patterns in time-sensitive prehospital breathing emergencies: an exploratory machine learning study. BMC Med Inform Decis Mak (2025).

Study IV — Response-time determinants
Hill, P., Lederman, J., Jonsson, D. et al. Understanding EMS response times: a machine learning-based analysis. BMC Med Inform Decis Mak (2025).

Study III — Infection presentations
Hill, P., Jonsson, D., Lederman, J., Bolin, P., Vicente, V. Concordance Between Dispatch Suspicion, On-Scene Phenotype, and Time Sensitive Triage in Prehospital Infectious Presentations: A Retrospective Machine-Learning Study. Research Square (preprint; under review).