Aim Despite improvement in preterm survival, neurological morbidity remains high. 3D fractional moving blood volume (3D‐FMBV) quantifies neonatal cerebral perfusion by calculating a standardised measure of the amount of moving blood in a region of interest and correlates with tissue perfusion in animal studies. However, its feasibility and reproducibility are yet to be assessed in newborn infants. Methods Fractional moving blood volume analysis was performed on three‐dimensional power Doppler ultrasound (PD‐US) volumes from a cohort of preterm infants recruited in 2015 from the Royal Hospital for Women Neonatal Intensive Care Unit. The volumes were acquired by two sonographers and analysed by two different observers. The 3D‐FMBV algorithm was applied to calculate an estimate for perfusion. Reproducibility and agreement were assessed using intra‐class correlation coefficients (ICC) and Bland‐Altman plots. Results All 3D PD‐US volumes were analysed successfully. Intra‐observer reliability was excellent with an ICC of 0.907 (95% CI 0.751–0.968) and 0.906 (95% CI 0.741–0.967) for two independent observers respectively. The inter‐observer reliability of the entire technique was good with an ICC of 0.752 (CI: 0.404–0.909). Conclusion We have successfully shown the feasibility and reliability of applying the 3D‐FMBV technique to the neonatal brain in a healthy preterm population.

Point of care ultrasound (POCUS) is not traditionally performed by paramedics, and where it is used, is generally limited to resuscitative-type ultrasound examinations. We describe a select series of patient care cases collected between August 2017 and February 2018 which are the first known examples of expanded POCUS performed by a paramedic in this context. These point of care scans were performed for both high and lower acuity patient presentations and are felt to have contributed to improved decisionmaking in the treatment and onward referral of patients in the Australian festival and event medicine.

Unlike practitioners of formal diagnostic sonography, point-of-care ultrasound users must often acquire basic ultrasound skills in far shorter time frames, with less time dedicated to obtaining mastery; therefore, they often rely on conceptual models to achieve this. There is currently no introductory model which point-of-care ultrasound users might adopt to describe the cognitive processes involved in acquiring a basic ultrasound image, and in learning point-of-care ultrasonography. We propose the ‘sonographic OODA loop’ in reference to Boyd’s observe–orient–decide–act (OODA) decision loop, as a model which can be used initially by ultrasound-naive clinicians to understand the cognitive and motor processes that occur when they acquire ultrasound images, and hopefully achieve greater insight into their early practice.