AIMC Topic: Medical Order Entry Systems

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Applying Machine Learning for Prescriptive Support: A Use Case with Unfractionated Heparin in Intensive Care Units.

Studies in health technology and informatics Aug 22, 2024
Continuous unfractionated heparin is widely used in intensive care, yet its complex pharmacokinetic properties complicate the determination of appropriate doses. To address this challenge, we developed machine learning models to predict over- and und...
Retrospective Studies Intensive Care Units Machine Learning Anticoagulants Medical Order Entry Systems Decision Support Systems, Clinical Heparin Humans
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The use of artificial intelligence to optimize medication alerts generated by clinical decision support systems: a scoping review.

Journal of the American Medical Informatics Association : JAMIA May 20, 2024
OBJECTIVE: Current Clinical Decision Support Systems (CDSSs) generate medication alerts that are of limited clinical value, causing alert fatigue. Artificial Intelligence (AI)-based methods may help in optimizing medication alerts. Therefore, we cond...
Humans Medication Errors Medical Order Entry Systems Artificial Intelligence Decision Support Systems, Clinical
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Why do users override alerts? Utilizing large language model to summarize comments and optimize clinical decision support.

Journal of the American Medical Informatics Association : JAMIA May 20, 2024
OBJECTIVES: To evaluate the capability of using generative artificial intelligence (AI) in summarizing alert comments and to determine if the AI-generated summary could be used to improve clinical decision support (CDS) alerts.
Decision Support Systems, Clinical Natural Language Processing Medical Order Entry Systems Artificial Intelligence Electronic Health Records Humans
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A machine learning-based clinical decision support system to identify prescriptions with a high risk of medication error.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2020
OBJECTIVE: To improve patient safety and clinical outcomes by reducing the risk of prescribing errors, we tested the accuracy of a hybrid clinical decision support system in prioritizing prescription checks.
Hospitals, Voluntary Paris Medication Errors Pharmacists Prescriptions Medical Order Entry Systems Decision Support Systems, Clinical Expert Systems ROC Curve Machine Learning Patient Safety Humans
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Reducing drug prescription errors and adverse drug events by application of a probabilistic, machine-learning based clinical decision support system in an inpatient setting.

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
BACKGROUND: Drug prescription errors are made, worldwide, on a daily basis, resulting in a high burden of morbidity and mortality. Existing rule-based systems for prevention of such errors are unsuccessful and associated with substantial burden of fa...
Decision Support Systems, Clinical Drug-Related Side Effects and Adverse Reactions Israel Humans Academic Medical Centers Medical Order Entry Systems Patient Safety Drug Therapy, Computer-Assisted Machine Learning Algorithms Medication Systems, Hospital Medication Errors Prospective Studies
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Developing and maintaining clinical decision support using clinical knowledge and machine learning: the case of order sets.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2018
Development and maintenance of order sets is a knowledge-intensive task for off-the-shelf machine-learning algorithms alone. We hypothesize that integrating clinical knowledge with machine learning can facilitate effective development and maintenance...
Machine Learning Decision Support Systems, Clinical Humans Workload Medical Order Entry Systems
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Comparison of three commercial knowledge bases for detection of drug-drug interactions in clinical decision support.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2017
OBJECTIVE: To compare 3 commercial knowledge bases (KBs) used for detection and avoidance of potential drug-drug interactions (DDIs) in clinical practice.
Drug Interactions Knowledge Bases Drug Therapy, Computer-Assisted Humans Medical Order Entry Systems Clinical Decision-Making Decision Support Systems, Clinical
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