Cargando…

Discrepancy between perceptions and acceptance of clinical decision support Systems: implementation of artificial intelligence for vancomycin dosing

BACKGROUND: Artificial intelligence (AI) tools are more effective if accepted by clinicians. We developed an AI-based clinical decision support system (CDSS) to facilitate vancomycin dosing. This qualitative study assesses clinicians' perceptions regarding CDSS implementation. METHODS: Thirteen...

Descripción completa

Detalles Bibliográficos
Autores principales:	Liu, Xinyan, Barreto, Erin F., Dong, Yue, Liu, Chang, Gao, Xiaolan, Tootooni, Mohammad Samie, Song, Xuan, Kashani, Kianoush B.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2023
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416522/ https://www.ncbi.nlm.nih.gov/pubmed/37568134 http://dx.doi.org/10.1186/s12911-023-02254-9

Ejemplares similares

The order of vasopressor discontinuation and incidence of hypotension: a retrospective cohort analysis
por: Song, Xuan, et al.
Publicado: (2021)

Discrepancies Between Bayesian Vancomycin Models Can Affect Clinical Decisions in the Critically Ill
por: Patanwala, Asad E., et al.
Publicado: (2022)

Artificial intelligence for clinical decision support for monitoring patients in cardiovascular ICUs: A systematic review
por: Moazemi, Sobhan, et al.
Publicado: (2023)

Acceptance, Barriers, and Facilitators to Implementing Artificial Intelligence–Based Decision Support Systems in Emergency Departments: Quantitative and Qualitative Evaluation
por: Fujimori, Ryo, et al.
Publicado: (2022)

Attainment of therapeutic vancomycin level within the first 24 h
por: Honore, Patrick M., et al.
Publicado: (2019)

Perception of the Impact of Artificial Intelligence in the Decision-Making Processes of Public Healthcare Professionals
por: Saleh Ibrahim, Yousif, et al.
Publicado: (2022)

Acceptance and Perception of Artificial Intelligence Usability in Eye Care (APPRAISE) for Ophthalmologists: A Multinational Perspective
por: Gunasekeran, Dinesh V., et al.
Publicado: (2022)

The Discrepancy of Parents’ Theories of Intelligence and Parental Involvement
por: Jiang, Kexin, et al.
Publicado: (2019)

Extracorporeal membrane oxygenation and acute kidney injury: a single-center retrospective cohort
por: Gao, Xiaolan, et al.
Publicado: (2023)

Exploring healthcare professionals’ perceptions of artificial intelligence: Piloting the Shinners Artificial Intelligence Perception tool
por: Shinners, Lucy, et al.
Publicado: (2022)

“Nothing works without the doctor:” Physicians’ perception of clinical decision-making and artificial intelligence
por: Samhammer, David, et al.
Publicado: (2022)

Retracted: Perception of the Impact of Artificial Intelligence in the Decision-Making Processes of Public Healthcare Professionals
por: Environmental and Public Health, Journal of
Publicado: (2023)

Markov decision processes in artificial intelligence
por: Sigaud, Olivier, et al.
Publicado: (2013)

Artificial intelligence‐based clinical decision support in modern medical physics: Selection, acceptance, commissioning, and quality assurance
por: Mahadevaiah, Geetha, et al.
Publicado: (2020)

Serum cystatin C predicts vancomycin trough levels better than serum creatinine in hospitalized patients: a cohort study
por: Frazee, Erin N, et al.
Publicado: (2014)

Image and structured data analysis for prognostication of health outcomes in patients presenting to the ED during the COVID-19 pandemic
por: Butler, Liam, et al.
Publicado: (2022)

Artificial Intelligence in Healthcare: Perception and Reality
por: Akinrinmade, Abidemi O, et al.
Publicado: (2023)

Prediction of vancomycin initial dosage using artificial intelligence models applying ensemble strategy
por: Ho, Wen-Hsien, et al.
Publicado: (2023)

Drug-drug interaction and acute kidney injury development: A correlation-based network analysis
por: Zhu, Wenjun, et al.
Publicado: (2023)

Artificial intelligence for clinical decision support in neurology
por: Pedersen, Mangor, et al.
Publicado: (2020)

Decision-Making in Artificial Intelligence: Is It Always Correct?
por: Kim, Hun-Sung
Publicado: (2019)

Artificial intelligence decision-making in mobile health
por: Menictas, Marianne, et al.
Publicado: (2019)

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

Artificial Intelligence for Clinical Decision Support in Sepsis
por: Wu, Miao, et al.
Publicado: (2021)

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

Peer-to-peer loan acceptance and default prediction with artificial intelligence
por: Turiel, J. D., et al.
Publicado: (2020)

Acceptability of artificial intelligence-based retina screening in general population
por: Shah, Payal, et al.
Publicado: (2022)

Role of generative artificial intelligence in publishing. What is acceptable, what is not.
por: Wong, Raymond
Publicado: (2023)

Endoscopists' Acceptance on the Implementation of Artificial Intelligence in Gastrointestinal Endoscopy: Development and Case Analysis of a Scale
por: Tian, Li, et al.
Publicado: (2022)

Clinicians’ Perceptions of Artificial Intelligence: Focus on Workload, Risk, Trust, Clinical Decision Making, and Clinical Integration
por: Shamszare, Hamid, et al.
Publicado: (2023)

Perception of Artificial Intelligence (AI) among radiologists
por: Pakdemirli, Emre
Publicado: (2019)

Importance of Decision Support Implementation in Emergency Department Vancomycin Dosing
por: Faine, Brett, et al.
Publicado: (2015)

The Attitude-Behavior Discrepancy in Medical Decision Making
por: He, Fei, et al.
Publicado: (2014)

Dialysis, COVID-19, Poverty, and Race in Greater Chicago: An Ecological Analysis
por: Bhayani, Siddharth, et al.
Publicado: (2020)

The Artificial Intelligence in Digital Radiology: Part 1: The Challenges, Acceptance and Consensus
por: Giansanti, Daniele, et al.
Publicado: (2022)

An integrated model for predicting pupils’ acceptance of artificially intelligent robots as teachers
por: Chen, Siyu, et al.
Publicado: (2023)

Artificial Intelligence in Childcare: Assessing the Performance and Acceptance of ChatGPT Responses
por: Kaneda, Yudai, et al.
Publicado: (2023)

Acceptance and understanding of artificial intelligence in medical research among orthopaedic surgeons
por: Ormond, Michael J., et al.
Publicado: (2023)

An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals
por: Lambert, Sophie Isabelle, et al.
Publicado: (2023)

An empirical evaluation of technology acceptance model for Artificial Intelligence in E-commerce
por: Wang, Chenxing, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_b0ooqg6a87e1l3thme338o7prr