AIMC Topic: Patient Safety

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Health technology assessment framework for artificial intelligence-based technologies.

International journal of technology assessment in health care
OBJECTIVES: Artificial intelligence (AI)-based health technologies (AIHTs) have already been applied in clinical practice. However, there is currently no standardized framework for evaluating them based on the principles of health technology assessme...

I-SIRch: AI-powered concept annotation tool for equitable extraction and analysis of safety insights from maternity investigations.

International journal of population data science
BACKGROUND: Maternity care is a complex system involving treatments and interactions between patients, healthcare providers, and the care environment. To enhance patient safety and outcomes, it is crucial to understand the human factors (e.g. individ...

Safeguarding Patients in the AI Era: Ethics at the Forefront of Pharmacovigilance.

Drug safety
Artificial intelligence is increasingly being used in pharmacovigilance. However, the use of artificial intelligence in pharmacovigilance raises ethical concerns related to fairness, non-discrimination, compliance, and responsibility as the central e...

Development of Automated Triggers in Ambulatory Settings in Brazil: Protocol for a Machine Learning-Based Design Thinking Study.

JMIR research protocols
BACKGROUND: The use of technologies has had a significant impact on patient safety and the quality of care and has increased globally. In the literature, it has been reported that people die annually due to adverse events (AEs), and various methods e...

Safety improvement requires data: the case for automation and artificial intelligence during incident reporting.

British journal of anaesthesia
The reporting of incidents has a long association with safety in healthcare and anaesthesia, yet many incident reporting systems substantially under-report critical events. Better understanding the underlying reasons for low levels of critical incide...

AI in Nursing: The Wild West?

The American journal of nursing
Survey highlights potential patient safety problems with AI-generated reports.

Surgical Intelligence Can Lead to Higher Adoption of Best Practices in Minimally Invasive Surgery.

Annals of surgery
OBJECTIVE: To examine the use of surgical intelligence for automatically monitoring critical view of safety (CVS) in laparoscopic cholecystectomy (LC) in a real-world quality initiative.