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Medical Research Publications

Key use cases for artificial intelligence to reduce the frequency of adverse drug events: a scoping review | MedAware

Key use cases for artificial intelligence to reduce the frequency of adverse drug events: a scoping review

This study examines how AI can identify potential medication errors or ADEs in EHRs using several machine learning methods.
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Associations of physicians’ prescribing experience, work hours, and workload with prescription errors | MedAware

Associations of physicians’ prescribing experience, work hours, and workload with prescription errors

This study assessed the associations between a physician workload, successive shifts, and work experience as it relates to making potential medication errors.  
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Using a Machine Learning System to Identify and Prevent Medication Prescribing Errors: A Clinical and Cost Analysis Evaluation | MedAware

Using a Machine Learning System to Identify and Prevent Medication Prescribing Errors: A Clinical and Cost Analysis Evaluation

MedAware’s machine learning algorithms were compared to an existing CDS system to determine clinical relevance alerts to prevent adverse events.
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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 | MedAware

Reducing drug prescription errors and adverse drug events by application of a probabilistic, machine-learning based clinical decision support system in an inpatient setting

This study examined the results of MedAware’s technology integrated into an existing EMR in a single medical ward in a tertiary medical center.
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Screening for medication errors using an outlier detection system | MedAware

Screening for medication errors using an outlier detection system

This study evaluated the accuracy, validity, and clinical usefulness of MedAware’s outlier detection technology to identify medication errors.
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