Early identification and characterisation of stroke to support prehospital decision-making using artificial intelligence : A scoping review protocol

• Introduction Stroke is a time-critical condition and one of the leading causes of mortality and disability worldwide. To decrease mortality and improve patient outcome by improving access to optimal treatment, there is an emerging need to improve the accuracy of the methods used to identify and characterise stroke in prehospital settings and emergency departments (EDs). This might be accomplished by developing computerised decision support systems (CDSSs) that are based on artificial intelligence (AI) and potential new data sources such as vital signs, biomarkers and image and video analysis. This scoping review aims to summarise literature on existing methods for early characterisation of stroke by using AI. Methods and analysis The review will be performed with respect to the Arksey and O'Malley's model. Peer-reviewed articles about AI-based CDSSs for the characterisation of stroke or new potential data sources for stroke CDSSs, published between January 1995 and April 2023 and written in English, will be included. Studies reporting methods that depend on mobile CT scanning or with no focus on prehospital or ED care will be excluded. Screening will be done in two steps: title and abstract screening followed by full-text screening. Two reviewers will perform the screening process independently, and a third reviewer will be involved in case of disagreement. Final decision will be made based on majority vote. Results will be reported using a descriptive summary and thematic analysis. Ethics and dissemination The methodology used in the protocol is based on information publicly available and does not need ethical approval. The results from the review will be submitted for publication in a peer-reviewed journal. The findings will be shared at relevant national and international conferences and meetings in the field of digital health and neurology. © 2023 BMJ Publishing Group. All rights reserved.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Omvårdnad (hsv//swe)

MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Nursing (hsv//eng)

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin (hsv//swe)

MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine (hsv//eng)

Nyckelord

Health informatics

Stroke

Telemedicine

Artificial Intelligence

Emergency Medical Services

Humans

Research Design

Review Literature as Topic

biological marker

Article

cause of death

cerebrovascular accident

clinical protocol

data source

decision making

decision support system

disability

emergency care

emergency ward

human

medical informatics

meta analysis

mortality

neurology

systematic review

thematic analysis

videorecording

vital sign

x-ray computed tomography

emergency health service

literature

methodology

Människan i vården

The Human Perspective in Care

Stroke

Health informatics

Telemedicine

acute ischemic-stroke

care

thrombectomy

diagnosis

therapy

brain

time

General & Internal Medicine

Publikations- och innehållstyp

ref (ämneskategori)

art (ämneskategori)