Cargando…

Artificial intelligence in medical referrals triage based on Clinical Prioritization Criteria

The clinical prioritisation criteria (CPC) are a clinical decision support tool that ensures patients referred for public specialist outpatient services to Queensland Health are assessed according to their clinical urgency. Medical referrals are manually triaged and prioritised into three categories...

Descripción completa

Detalles Bibliográficos
Autores principales:	Abdel-Hafez, Ahmad, Jones, Melanie, Ebrahimabadi, Maziiar, Ryan, Cathi, Graham, Steve, Slee, Nicola, Whitfield, Bernard
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2023
Materias:	Digital Health
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10642163/ https://www.ncbi.nlm.nih.gov/pubmed/37964894 http://dx.doi.org/10.3389/fdgth.2023.1192975

Ejemplares similares

Artificial Intelligence for Healthcare in Africa
por: Owoyemi, Ayomide, et al.
Publicado: (2020)

Healthcare Transformation in Singapore With Artificial Intelligence
por: Liu, Siqi, et al.
Publicado: (2020)

Successes and challenges of artificial intelligence in cardiology
por: Vandenberk, Bert, et al.
Publicado: (2023)

Success Factors of Artificial Intelligence Implementation in Healthcare
por: Wolff, Justus, et al.
Publicado: (2021)

Accessing Artificial Intelligence for Clinical Decision-Making
por: Giordano, Chris, et al.
Publicado: (2021)

Editorial: Artificial intelligence for human function and disability
por: Newman-Griffis, Denis R., et al.
Publicado: (2023)

Editorial: Artificial intelligence in point of care diagnostics
por: Martinelli, Massimo, et al.
Publicado: (2023)

Artificial Intelligence and Statistics: Just the Old Wine in New Wineskins?
por: Faes, Livia, et al.
Publicado: (2022)

Scaling up artificial intelligence to curb infectious diseases in Africa
por: Otaigbe, Idemudia
Publicado: (2022)

Artificial Intelligence, Data Sensors and Interconnectivity: Future Opportunities for Heart Failure
por: Bachtiger, Patrik, et al.
Publicado: (2020)

Nanomedicine Ex Machina: Between Model-Informed Development and Artificial Intelligence
por: Villa Nova, Mônica, et al.
Publicado: (2022)

Commentary: Artificial Intelligence and Statistics: Just the Old Wine in New Wineskins?
por: de Hond, Anne A. H., et al.
Publicado: (2022)

Artificial Intelligence in Predicting Systemic Parameters and Diseases From Ophthalmic Imaging
por: Betzler, Bjorn Kaijun, et al.
Publicado: (2022)

Applying Artificial Intelligence Methods for the Estimation of Disease Incidence: The Utility of Language Models
por: Zhang, Yuanzhao, et al.
Publicado: (2020)

Identifying Heart Failure in ECG Data With Artificial Intelligence—A Meta-Analysis
por: Grün, Dimitri, et al.
Publicado: (2021)

Detecting Spurious Correlations With Sanity Tests for Artificial Intelligence Guided Radiology Systems
por: Mahmood, Usman, et al.
Publicado: (2021)

COVID-19 in Brazil—Preliminary Analysis of Response Supported by Artificial Intelligence in Municipalities
por: Morales, Hugo M. P., et al.
Publicado: (2021)

Artificial Intelligence Solutions to Increase Medication Adherence in Patients With Non-communicable Diseases
por: Babel, Aditi, et al.
Publicado: (2021)

The Desire of Medical Students to Integrate Artificial Intelligence Into Medical Education: An Opinion Article
por: Frommeyer, Timothy C., et al.
Publicado: (2022)

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

DCTclock: Clinically-Interpretable and Automated Artificial Intelligence Analysis of Drawing Behavior for Capturing Cognition
por: Souillard-Mandar, William, et al.
Publicado: (2021)

Commentary: The desire of medical students to integrate artificial intelligence into medical education: An opinion article
por: Zhong, Jimmy Y., et al.
Publicado: (2023)

Telemedicine, Artificial Intelligence and Humanisation of Clinical Pathways in Heart Failure Management: Back to the Future and Beyond
por: D’Amario, Domenico, et al.
Publicado: (2020)

Artificial Intelligence in Perioperative Medicine: A Proposed Common Language With Applications to FDA-Approved Devices
por: Melvin, Ryan L., et al.
Publicado: (2022)

Expanding the horizon for breast cancer screening in India through artificial intelligent technologies -A mini-review
por: Bhattacharya, Sudip, et al.
Publicado: (2022)

Perspectives on artificial intelligence in healthcare from a Patient and Public Involvement Panel in Japan: an exploratory study
por: Katirai, Amelia, et al.
Publicado: (2023)

Discovering Composite Lifestyle Biomarkers With Artificial Intelligence From Clinical Studies to Enable Smart eHealth and Digital Therapeutic Services
por: Kyriazakos, Sofoklis, et al.
Publicado: (2021)

Ethical and legal considerations influencing human involvement in the implementation of artificial intelligence in a clinical pathway: A multi-stakeholder perspective
por: Redrup Hill, Elizabeth, et al.
Publicado: (2023)

Personalised, Rational, Efficacy-Driven Cancer Drug Dosing via an Artificial Intelligence SystEm (PRECISE): A Protocol for the PRECISE CURATE.AI Pilot Clinical Trial
por: Tan, Benjamin Kye Jyn, et al.
Publicado: (2021)

Beauty Is in the AI of the Beholder: Are We Ready for the Clinical Integration of Artificial Intelligence in Radiography? An Exploratory Analysis of Perceived AI Knowledge, Skills, Confidence, and Education Perspectives of UK Radiographers
por: Rainey, Clare, et al.
Publicado: (2021)

Measuring adherence, acceptability and likability of an artificial-intelligence-based, gamified phone application to improve the quality of dietary choices of adolescents in Ghana and Vietnam: Protocol of a randomized controlled pilot test
por: Braga, Bianca C., et al.
Publicado: (2022)

PO-1179 Radiation induced pneumonitis during COVID-19: artificial intelligence for differential diagnosis.
por: Ippolito, E., et al.
Publicado: (2021)

Juvenile Justice, Technology and Family Separation: A Call to Prioritize Access to Family-Based Telehealth Treatment for Justice-Involved Adolescents' Mental Health and Well-Being
por: Tolou-Shams, Marina, et al.
Publicado: (2022)

Triaging Medical Referrals Based on Clinical Prioritisation Criteria Using Machine Learning Techniques
por: Wee, Chee Keong, et al.
Publicado: (2022)

Artificial intelligence may enhance emergency triage and management
por: Craca, Michelangelo, et al.
Publicado: (2023)

The Diagnostic and Triage Accuracy of the GPT-3 Artificial Intelligence Model
por: Levine, David M, et al.
Publicado: (2023)

APPRAISE-HRI: AN ARTIFICIAL INTELLIGENCE ALGORITHM FOR TRIAGE OF HEMORRHAGE CASUALTIES
por: Stallings, Jonathan D., et al.
Publicado: (2023)

PO-1505 Phone call triage for patients admission in a radiotherapy department during COVID 19 pandemic
por: Santo, B., et al.
Publicado: (2021)

Public attitudes value interpretability but prioritize accuracy in Artificial Intelligence
por: Nussberger, Anne-Marie, et al.
Publicado: (2022)

Deep Multi-Modal Transfer Learning for Augmented Patient Acuity Assessment in the Intelligent ICU
por: Shickel, Benjamin, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_vjj7rmjrm1rmfoo27fthjr1c7c