SynthesisFrontiers in medicine2024
Artificial intelligence in healthcare: transforming patient safety with intelligent systems-A systematic review.
Synthesis in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed.
- Nursing Perceptions of the Intended Use of Artificial Intelligence to Prevent Medication Errors: A Qualitative Descriptive Study.Journal of clinical nursing · 2026Article
- Role-Differentiated AI Competencies and Curriculum Implications for Health Professions Education: Qualitative Study.JMIR medical education · 2026Article
- Optimizing arthroplasty outcomes: the impact of artificial intelligence and robotic assistance.Annals of medicine and surgery (2012) · 2026Review
- Nurse and Other Healthcare Managers' Experiences and Recommendations for Patient Incident Reporting Processes and Real-Time Software Development: A Qualitative Study.Journal of advanced nursing · 2026Article
- Artificial intelligence for antimicrobial resistance: advancing reproducibility, interpretability, and clinical deployment.Briefings in bioinformatics · 2026Review
- Moving beyond one-size-fits-all education approaches for artificial intelligence in healthcare.PLOS digital health · 2026Article
- Reducing human error in global healthcare: leadership, learning, and system resilience.European journal of public health · 2026Article
- Revealing the hidden harms in end-of-life care: a mixed-methods characterisation of reported safety incidents involving injectable symptom control medication.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026Article
- Large Language Models Evaluation of Medical Licensing Examination Using GPT-4.0, ERNIE Bot 4.0, and GPT-4o.Bioengineering (Basel, Switzerland) · 2026Article
- The impact of patient-facing digital health interventions on patient safety outcomes: a meta-analysis of meta-analyses.Oxford open digital health · 2026Review
- Healthcare Systems at the Intersection of Just Culture and Artificial Intelligence: Emerging Challenges for Nursing Management.Risk management and healthcare policy · 2026Article
- The Impact of Bilingual Communities on the Effective Communication Process in Open-Circuit Pharmacies: A Quantitative Study to Overcome Language Barriers in Patient Care from Eastern Region of Romania.Integrated pharmacy research & practice · 2026Article
- Patient Safety in the Era of AI: Draft Conditions for the Design of Safe Care.NAM perspectives · 2026Article
- Public Knowledge and Acceptance of Artificial Intelligence-Assisted Physicians in Saudi Arabia: A Cross-Sectional Study.International journal of general medicine · 2026Article
- The impact of GenAI on applicant behaviour, performance, and interview reliability during virtual interviews for medical school admissions.NPJ digital medicine · 2025Article
- Machine Learning-Based Algorithm for Tacrolimus Dose Optimization in Hospitalized Kidney Transplant Patients.Diagnostics (Basel, Switzerland) · 2025Article
- Artificial intelligence in pancreatitis: A narrative review on advancing precision diagnosis, prognosis, and therapeutic strategies.World journal of gastroenterology · 2025Review
- Artificial intelligence-assisted nursing care: a concept analysis using Walker and Avant approach.BMC nursing · 2025Article
- From Blame to Learning: The Evolution of the London Protocol for Patient Safety.Healthcare (Basel, Switzerland) · 2025Review
- Achieving ACGME Clinical Informatics Fellowship Accreditation: A Chronicle of Our Institution's Journey.Applied clinical informatics · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Adverse events in hospitals significantly compromise patient safety and trust in healthcare systems, with medical errors being a leading cause of death globally. Despite efforts to reduce these errors, reporting remains low, and effective system changes are rare. This systematic review explores the potential of artificial intelligence (AI) in clinical risk management. Methods: The systematic review was conducted using the PRISMA Statement 2020 guidelines to ensure a comprehensive and transparent approach. We utilized the online tool Rayyan for efficient screening and selection of relevant studies from three different online bibliographic. Results: AI systems, including machine learning and natural language processing, show promise in detecting adverse events, predicting medication errors, assessing fall risks, and preventing pressure injuries. Studies reveal that AI can improve incident reporting accuracy, identify high-risk incidents, and automate classification processes. However, challenges such as socio-technical issues, implementation barriers, and the need for standardization persist. Discussion: The review highlights the effectiveness of AI in various applications but underscores the necessity for further research to ensure safe and consistent integration into clinical practices. Future directions involve refining AI tools through continuous feedback and addressing regulatory standards to enhance patient safety and care quality.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.