AIMC Topic: Medication Errors
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Predicting self-intercepted medication ordering errors using machine learning.
PloS one
Jul 14, 2021
Current approaches to understanding medication ordering errors rely on relatively small manually captured error samples. These approaches are resource-intensive, do not scale for computerized provider order entry (CPOE) systems, and are likely to mis...
Root causes of adverse drug events in hospitals and artificial intelligence capabilities for prevention.
Journal of advanced nursing
Feb 23, 2021
AIMS: To identify and prioritize the root causes of adverse drug events (ADEs) in hospitals and to assess the ability of artificial intelligence (AI) capabilities to prevent ADEs.
A drug identification model developed using deep learning technologies: experience of a medical center in Taiwan.
BMC health services research
Apr 15, 2020
BACKGROUND: Issuing of correct prescriptions is a foundation of patient safety. Medication errors represent one of the most important problems in health care, with 'look-alike and sound-alike' (LASA) being the lead error. Existing solutions to preven...
A robotic system to prepare IV solutions.
International journal of medical informatics
Sep 11, 2018
Drugs need to be used regularly and correctly in order to be effective. When medicines are used correctly, negativities that threaten human health and life can be avoided, but they can cause unwanted situations that can occur until the end of life wh...
Robotic dispensing improves patient safety, inventory management, and staff satisfaction in an outpatient hospital pharmacy.
Journal of evaluation in clinical practice
Aug 22, 2018
RATIONALE, AIMS AND OBJECTIVES: Implementation of robotic systems in outpatient hospital pharmacies is uncommon. Other than cost, 1 of the barriers to widespread adoption is the lack of definitive evidence that this technology actually reduces dispen...
DDC-Outlier: Preventing Medication Errors Using Unsupervised Learning.
IEEE journal of biomedical and health informatics
Apr 17, 2018
Electronic health records have brought valuable improvements to hospital practices by integrating patient information. In fact, the understanding of these data can prevent mistakes that may put patients' lives at risk. Nonetheless, to the best of our...
Primary Care Provider Perceptions and Practices Regarding Dosing Units for Oral Liquid Medications.
Academic pediatrics
Dec 18, 2017
INTRODUCTION: To prevent errors, health care professional and safety organizations recommend using milliliters (mL) alone for oral liquid medication dosing instructions and devices. In 2018, for federal incentives under the Quality Payment Program, o...
Nurse Practitioners
Pediatricians
Physicians, Family
Surveys and Questionnaires
Adult
Attitude of Health Personnel
Electronic Prescribing
Humans
Male
Administration, Oral
Internal Medicine
Middle Aged
Electronic Health Records
Physicians, Primary Care
Pharmaceutical Preparations
Medication Errors
Female
Drug Prescriptions
Integrating natural language processing expertise with patient safety event review committees to improve the analysis of medication events.
International journal of medical informatics
May 11, 2017
OBJECTIVES: Many healthcare providers have implemented patient safety event reporting systems to better understand and improve patient safety. Reviewing and analyzing these reports is often time consuming and resource intensive because of both the qu...
[Implementation of a robot for the preparation of antineoplastic drugs in the Pharmacy Service].
Farmacia hospitalaria : organo oficial de expresion cientifica de la Sociedad Espanola de Farmacia Hospitalaria
May 1, 2015
OBJECTIVE: To describe the implementation of a robot for the preparation of antineoplastic drugs in the Pharmacy Service and to be able to analyze the added value to pharmacotherapy.
Extracting Pediatric Information from Summaries of Product Characterics with a Large Language Model and No-Code.
Studies in health technology and informatics
May 15, 2025
Accurate medication information is important for children, as dosing errors can have severe consequences compared to adults. We propose an automated method to extract pediatric information from Summaries of Product Characteristics (SPC). We used AirO...
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