AIMC Topic: Medication Errors
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The Effects of Presenting AI Uncertainty Information on Pharmacists' Trust in Automated Pill Recognition Technology: Exploratory Mixed Subjects Study.
JMIR human factors
Feb 11, 2025
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
Dec 30, 2024
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
May 6, 2024
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
Apr 25, 2024
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
Mar 23, 2023
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 ...
Application of Intelligent Intravenous Drug Dispensing Robot in Clinical Nursing.
Contrast media & molecular imaging
Mar 21, 2022
In order to explore the application of intelligent intravenous drug dispensing robot in clinical nursing, the efficiency, residual amount, needle pushing, and pulling times, the incidence of accidental hand stab injury and the accuracy of drug dispen...
Automated preparation of cytotoxic drugs: the evidence for an interface between the robot and computerized provider order entry?
European journal of hospital pharmacy : science and practice
Mar 10, 2022
Hybrid Method Incorporating a Rule-Based Approach and Deep Learning for Prescription Error Prediction.
Drug safety
Nov 12, 2021
INTRODUCTION: Recently, automated detection has been a new approach to address the risks posed by prescribing errors. This study focused on prescription errors and utilized real medical data to supplement the Drug Utilization Review (DUR)-based rules...
High alert drugs screening using gradient boosting classifier.
Scientific reports
Oct 11, 2021
Prescription errors in high alert drugs (HAD), a group of drugs that have a high risk of complications and potential negative consequences, are a major and serious problem in medicine. Standardized hospital interventions, protocols, or guidelines wer...
Artificial Intelligence for Identifying the Prevention of Medication Incidents Causing Serious or Moderate Harm: An Analysis Using Incident Reporters' Views.
International journal of environmental research and public health
Aug 31, 2021
The purpose of this study was to describe incident reporters' views identified by artificial intelligence concerning the prevention of medication incidents that were assessed, causing serious or moderate harm to patients. The information identified t...
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