| Literature DB >> 32550287 |
Kiruba Nagaratnam1, George Harston2, Enrico Flossmann1, Clara Canavan1, Rui Carmelo Geraldes1, Chani Edwards1.
Abstract
Acute stroke care demands real-time, specialist-led treatment decisions, including thrombolysis and referral for mechanical thrombectomy. Pathways designed to deliver time-critical interventions for stroke patients are under intense pressure due to the impact of COVID-19 pandemic. In response to this unprecedented burden on acute care services, stroke clinicians are having to reconfigure existing clinical pathways both within and between hospitals. Incorporating artificial intelligence and digital communication support into clinical pathways offers an opportunity to mitigate the disruption to acute stroke care. In this case study we describe how Royal Berkshire Hospital, working collaboratively with Brainomix, a UK-based artificial intelligence software company, adopted technological innovation and integrated it into the hyperacute stroke pathway. A case is presented to demonstrate how this innovation can support patient care and deliver successful patient outcomes. We believe this model can be adopted in other hospitals and networks to deliver safe and efficient hyperacute stroke care. © Royal College of Physicians 2020. All rights reserved.Entities:
Keywords: AI; Acute stroke; COVID-19; artificial intelligence
Year: 2020 PMID: 32550287 PMCID: PMC7296572 DOI: 10.7861/fhj.2020-0034
Source DB: PubMed Journal: Future Healthc J ISSN: 2514-6645