The demand for prehospital emergency care has increased during the last decades throughout the Western world, in terms of numbers of emergency calls and dispatched ambulances. This development represents a challenge for both the prehospital emergency systems and the emergency departments at the hospitals [1]. Stroke is the fourth single leading cause of death in the UK and an accurate recognition of stroke by in-ambulance or emergency medical services (EMS) or prehospital ambulance paramedics, offers significant potential to reduce delays in presentation and treatment in acute stroke [2]. This paper demonstrates Proof-of-Concept (PoC) approaches for 5G network slicing in mission-critical use cases from the H2020 5G PPP SliceNet project, which is implementing an End-to-End (E2E) cognitive network slicing and slice management framework in virtualised multi-domain, multi-tenant 5G Networks. The paper shows how the PoC's key enablers, such as QoS-aware network slicing, edge computing and hardware acceleration, can assist with a continuous collection, processing and streaming of patient data that could shorten the time to assess and provide optimal clinical treatment pathways for potential stroke patients.