AIMC Topic: Medication Reconciliation
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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...
Extraction of Active Medications and Adherence Using Natural Language Processing for Glaucoma Patients.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Feb 21, 2022
Accuracy of medication data in electronic health records (EHRs) is crucial for patient care and research, but many studies have shown that medication lists frequently contain errors. In contrast, physicians often pay more attention to the clinical no...
Development of Machine Learning Models to Validate a Medication Regimen Complexity Scoring Tool for Critically Ill Patients.
The Annals of pharmacotherapy
Sep 15, 2020
INTRODUCTION: The Medication Regimen Complexity -Intensive Care Unit (MRC-ICU) is the first tool for measuring medication regimen complexity in critically ill patients. This study tested machine learning (ML) models to investigate the relationship be...
An end-to-end hybrid algorithm for automated medication discrepancy detection.
BMC medical informatics and decision making
May 6, 2015
BACKGROUND: In this study we implemented and developed state-of-the-art machine learning (ML) and natural language processing (NLP) technologies and built a computerized algorithm for medication reconciliation. Our specific aims are: (1) to develop a...
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