AIMC Topic: Medical Order Entry Systems

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Evaluation of Diagnostic Recommendations Embedded in Medication Alerts: Prospective Single-Arm Interventional Study.

Journal of medical Internet research May 27, 2025
BACKGROUND: Potentially inappropriate prescribing in outpatient care contributes to adverse outcomes and health care inefficiencies. Clinical decision support systems (CDSS) offer promising solutions, but their effectiveness is often constrained by i...
Machine Learning Prospective Studies Decision Support Systems, Clinical Medical Order Entry Systems Humans
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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
Humans Antineoplastic Agents Robotics Drug Compounding Medication Errors Medical Order Entry Systems
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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...
Adolescent Child, Preschool Child ROC Curve Male Middle Aged Infant Logistic Models Medication Errors Medical Order Entry Systems Humans Machine Learning Female Young Adult Adult Aged Aged, 80 and over
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Predicting Inpatient Medication Orders From Electronic Health Record Data.

Clinical pharmacology and therapeutics Apr 11, 2020
In a general inpatient population, we predicted patient-specific medication orders based on structured information in the electronic health record (EHR). Data on over three million medication orders from an academic medical center were used to train ...
Inpatients Academic Medical Centers Medical Order Entry Systems Adolescent Time Factors Logistic Models Aged Aged, 80 and over Young Adult Middle Aged Deep Learning Adult Male Machine Learning Electronic Health Records Female Hospitalization Humans
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Advanced Data Analytics for Clinical Research Part II: Application to Cardiothoracic Surgery.

Innovations (Philadelphia, Pa.) Feb 28, 2020
In the first part of this series, we introduced the tools of Big Data, including Not Only Standard Query Language data warehouse, natural language processing (NLP), optical character recognition (OCR), and Internet of Things (IoT). There are nuances ...
Natural Language Processing Data Mining Digital Technology Thoracic Surgical Procedures Equipment Failure Analysis Internet of Things Health Care Sector Big Data Data Science Monitoring, Physiologic Communication Male Surgeons Humans Female Clinical Protocols Medical Order Entry Systems
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SuperOrder: Provider order recommendation system for outpatient clinics.

Health informatics journal Jul 3, 2019
This study aims at developing SuperOrder, an order recommendation system for outpatient clinics. Using the electronic health record data available at midnight, SuperOrder predicts the order contents for each upcoming appointment on a daily basis. A t...
Humans Machine Learning Forecasting Pennsylvania Medical Order Entry Systems Retrospective Studies Electronic Health Records Ambulatory Care Facilities
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Automated Critical Test Findings Identification and Online Notification System Using Artificial Intelligence in Imaging.

Radiology Jul 3, 2017
Purpose To evaluate the performance of an artificial intelligence (AI) tool using a deep learning algorithm for detecting hemorrhage, mass effect, or hydrocephalus (HMH) at non-contrast material-enhanced head computed tomographic (CT) examinations an...
Medical Order Entry Systems Radiology Information Systems Systems Integration Craniocerebral Trauma Sensitivity and Specificity Male Middle Aged Pattern Recognition, Automated Head Decision Support Systems, Clinical Critical Care Tomography, X-Ray Computed Female Reproducibility of Results Humans Machine Learning Algorithms
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Medication Recommender System for ICU Patients Using Autoencoders.

Studies in health technology and informatics May 15, 2025
Patients admitted to the intensive care unit (ICU) are often treated with multiple high-risk medications. Over- and underprescribing of indicated medications, and inappropriate choice of medications frequently occur in the ICU. This risk has to be mi...
Autoencoder Electronic Health Records Humans Decision Support Systems, Clinical Medical Order Entry Systems Intensive Care Units
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Subgroup Discovery to Identify Determinants of Influence on CDSS Medication Alert Handling: A Feasibility Study.

Studies in health technology and informatics May 15, 2025
Clinical decision support systems (CDSSs) are designed to enhance patient safety by providing alerts to prescribers about potential medication issues. However, a significant proportion of these alerts are ignored, which can compromise patient safety....
Machine Learning Electronic Health Records Decision Support Systems, Clinical Feasibility Studies Humans Medication Errors 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...
Heparin Anticoagulants Medical Order Entry Systems Machine Learning Retrospective Studies Intensive Care Units Decision Support Systems, Clinical Humans
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