AIMC Topic: Medication Errors

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Conventional and hybrid time series models for forecasting medication dispensing and errors integration in automated dispensing cabinets.

Scientific reports
Automated dispensing cabinets (ADCs) represent a critical innovation in modern healthcare, revolutionizing medication management by improving efficiency, accuracy, and security. With the increasing reliance on these technologies, optimizing their per...

Interpretable one-class classification framework for prescription error detection using BERT embeddings and dimensionality reduction.

Computers in biology and medicine
Ensuring accurate prescriptions and proper medication administration is critical for patient safety and effective clinical outcomes. Identifying and preventing prescription errors can significantly reduce healthcare costs and adverse health effects. ...

Artificial Intelligence in Perioperative Medication-Related Clinical Decision Support.

Anesthesiology clinics
Medication errors in the operating room (OR) are common and have considerable potential for harm. While not yet widely used in the OR, clinical decision support (CDS) has been shown to prevent medication errors outside of the OR and has the potential...

[Risks associated with the implementation of a nominative unit-dose dispensing robotic system: Analysis after ten years of use within a hospital pharmacy department].

Annales pharmaceutiques francaises
OBJECTIVES: Our hospital pharmaceutical department acquired an automated drug dispensive system to secure the medication management, from the dispensation to the administration process. The aim of our study was to secure the new circuit by identifyin...

Medication Safety in Acute Care Settings.

The Medical clinics of North America
This article addresses medication-related problems (MRPs) in hospitals, which continue to cause substantial preventable harm. Medication errors (ME), adverse drug reactions, and adverse drug events remain prevalent, significantly impacting patient sa...

The Effects of Presenting AI Uncertainty Information on Pharmacists' Trust in Automated Pill Recognition Technology: Exploratory Mixed Subjects Study.

JMIR human factors
BACKGROUND: Dispensing errors significantly contribute to adverse drug events, resulting in substantial health care costs and patient harm. Automated pill verification technologies have been developed to aid pharmacists with medication dispensing. Ho...

A machine learning-based clinical predictive tool to identify patients at high risk of medication errors.

Scientific reports
A medication error is an inadvertent failure in the drug therapy process that can cause serious harm to patients by increasing morbidity and mortality and are associated with significant economic costs to the healthcare system. Medication reconciliat...

Validation of a natural language processing algorithm using national reporting data to improve identification of anesthesia-related ADVerse evENTs: The "ADVENTURE" study.

Anaesthesia, critical care & pain medicine
BACKGROUND: Reporting and analysis of adverse events (AE) is associated with improved health system learning, quality outcomes, and patient safety. Manual text analysis is time-consuming, costly, and prone to human errors. We aimed to demonstrate the...

Large language models for preventing medication direction errors in online pharmacies.

Nature medicine
Errors in pharmacy medication directions, such as incorrect instructions for dosage or frequency, can increase patient safety risk substantially by raising the chances of adverse drug events. This study explores how integrating domain knowledge with ...

Potentiality of algorithms and artificial intelligence adoption to improve medication management in primary care: a systematic review.

BMJ open
OBJECTIVES: The aim of this study is to investigate the effect of artificial intelligence (AI) and/or algorithms on drug management in primary care settings comparing AI and/or algorithms with standard clinical practice. Second, we evaluated what is ...