Cargando…

Influence of artificial intelligence on the work design of emergency department clinicians a systematic literature review

OBJECTIVE: This systematic literature review aims to demonstrate how Artificial Intelligence (AI) is currently used in emergency departments (ED) and how it alters the work design of ED clinicians. AI is still new and unknown to many healthcare professionals in emergency care, leading to unfamiliari...

Descripción completa

Detalles Bibliográficos
Autores principales:	Boonstra, Albert, Laven, Mente
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2022
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9118875/ https://www.ncbi.nlm.nih.gov/pubmed/35585603 http://dx.doi.org/10.1186/s12913-022-08070-7

Ejemplares similares

Emergence of Artificial Intelligence in Dentistry: Are Clinicians Replaceable?
por: Duggal, Ritu
Publicado: (2022)

Applications of artificial intelligence in the emergency department
por: Moulik, Supratik K., et al.
Publicado: (2020)

Emergency department use and Artificial Intelligence in Pelotas: design and baseline results
por: Delpino, Felipe Mendes, et al.
Publicado: (2023)

Artificial Intelligence Versus Clinicians in Disease Diagnosis: Systematic Review
por: Shen, Jiayi, et al.
Publicado: (2019)

Inclusion of Clinicians in the Development and Evaluation of Clinical Artificial Intelligence Tools: A Systematic Literature Review
por: Tulk Jesso, Stephanie, et al.
Publicado: (2022)

Artificial intelligence decision points in an emergency department
por: Chang, Hansol, et al.
Publicado: (2022)

Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies
por: Nagendran, Myura, et al.
Publicado: (2020)

Deployment of artificial intelligence for radiographic diagnosis of COVID‐19 pneumonia in the emergency department
por: Carlile, Morgan, et al.
Publicado: (2020)

Generative Artificial Intelligence for Chest Radiograph Interpretation in the Emergency Department
por: Huang, Jonathan, et al.
Publicado: (2023)

Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians
por: Asan, Onur, et al.
Publicado: (2020)

Artificial intelligence in telemetry: what clinicians should know
por: Maslove, David M., et al.
Publicado: (2021)

Prediction of hospitalization using artificial intelligence for urgent patients in the emergency department
por: Lee, Jung-Ting, et al.
Publicado: (2021)

Development and Validation of an Artificial Intelligence Electrocardiogram Recommendation System in the Emergency Department
por: Tsai, Dung-Jang, et al.
Publicado: (2022)

Integration of Artificial Intelligence Into Sociotechnical Work Systems—Effects of Artificial Intelligence Solutions in Medical Imaging on Clinical Efficiency: Protocol for a Systematic Literature Review
por: Wenderott, Katharina, et al.
Publicado: (2022)

Exploring the needs of children and caregivers to inform design of an artificial intelligence-enhanced social robot in the pediatric emergency department
por: Nishat, Fareha, et al.
Publicado: (2023)

Artificial Intelligence for Anesthesia: What the Practicing Clinician Needs to Know
por: Mathis, Michael R., et al.
Publicado: (2018)

Clinician's guide to trustworthy and responsible artificial intelligence in cardiovascular imaging
por: Szabo, Liliana, et al.
Publicado: (2022)

An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department
por: Shamout, Farah E., et al.
Publicado: (2021)

Development and Validation of an Artificial Intelligence System to Optimize Clinician Review of Patient Records
por: Chi, Ethan Andrew, et al.
Publicado: (2021)

Artificial Intelligence for ADRD Caregivers: A Systematic Literature Review
por: Xie, Bo, et al.
Publicado: (2020)

Artificial intelligence maturity model: a systematic literature review
por: Sadiq, Raghad Baker, et al.
Publicado: (2021)

Artificial intelligence in design
por: Pham Duc Truong
Publicado: (1991)

Is Artificial Intelligence Better Than Human Clinicians in Predicting Patient Outcomes?
por: Lee, Joon
Publicado: (2020)

Clinicians’ Views on Using Artificial Intelligence in Healthcare: Opportunities, Challenges, and Beyond
por: Alanazi, Abdullah
Publicado: (2023)

285 Deployment of Artificial Intelligence for Radiographic Diagnosis of COVID-19 Pneumonia in the Emergency Department
por: Carlile, M., et al.
Publicado: (2020)

Using artificial intelligence for improving stroke diagnosis in emergency departments: a practical framework
por: Abedi, Vida, et al.
Publicado: (2020)

Role of Artificial Intelligence in Patient Safety Outcomes: Systematic Literature Review
por: Choudhury, Avishek, et al.
Publicado: (2020)

Utilization of artificial intelligence in the banking sector: a systematic literature review
por: Fares, Omar H., et al.
Publicado: (2022)

Where Is the Artificial Intelligence Applied in Dentistry? Systematic Review and Literature Analysis
por: Thurzo, Andrej, et al.
Publicado: (2022)

The influence of artificial intelligence on the work of the medical physicist in radiotherapy practice: a short review
por: Fiagbedzi, Emmanuel, et al.
Publicado: (2023)

IFIP Working Conference on Artificial Intelligence and Pattern Recognition in Computed-aided Design
por: Latombe, Jean Claude
Publicado: (1978)

Clinician and computer: a study on patient perceptions of artificial intelligence in skeletal radiography
por: York, Thomas, et al.
Publicado: (2020)

Translating the Machine: Skills that Human Clinicians Must Develop in the Era of Artificial Intelligence
por: Aslam, Tariq M., et al.
Publicado: (2021)

Clinical applications of artificial intelligence in sleep medicine: a sleep clinician’s perspective
por: Bandyopadhyay, Anuja, et al.
Publicado: (2022)

A Survey on the Use of Artificial Intelligence by Clinicians in Dentistry and Oral and Maxillofacial Surgery
por: Eschert, Tim, et al.
Publicado: (2022)

Acceptance, initial trust formation, and human biases in artificial intelligence: Focus on clinicians
por: Choudhury, Avishek, et al.
Publicado: (2022)

Clinician and computer: a study on doctors’ perceptions of artificial intelligence in skeletal radiography
por: York, Thomas James, et al.
Publicado: (2023)

Clinicians’ Guide to Artificial Intelligence in Colon Capsule Endoscopy—Technology Made Simple
por: Lei, Ian I., et al.
Publicado: (2023)

Artificial intelligence and clinical decision support: clinicians’ perspectives on trust, trustworthiness, and liability
por: Jones, Caroline, et al.
Publicado: (2023)

Communication in Hong Kong Accident and Emergency Departments: The Clinicians’ Perspectives
por: Chandler, Eloise, et al.
Publicado: (2015)

Cannot write session to /tmp/vufind_sessions/sess_grvc1pjjdv43fiass1bcv80mej