AIMC Topic: Medical Errors

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Machine Learning Approach to Identifying Wrong-Site Surgeries Using Centers for Medicare and Medicaid Services Dataset: Development and Validation Study.

JMIR formative research Feb 13, 2025
BACKGROUND: Wrong-site surgery (WSS) is a critical but preventable medical error, often resulting in severe patient harm and substantial financial costs. While protocols exist to reduce wrong-site surgery, underreporting and inconsistent documentatio...
Male United States Medical Errors Centers for Medicare and Medicaid Services, U.S. Humans Machine Learning Female
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Development of a Preliminary Patient Safety Classification System for Generative AI.

BMJ quality & safety Jan 28, 2025
Generative artificial intelligence (AI) technologies have the potential to revolutionise healthcare delivery but require classification and monitoring of patient safety risks. To address this need, we developed and evaluated a preliminary classificat...
Artificial Intelligence Patient Safety Medical Errors Humans
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Legal implications of artificial intelligence in health care.

Clinics in dermatology Jun 25, 2024
The last few years have seen a boom in the popularity of artificial intelligence (AI) around the world, and the health care sector has not been immune from what has been perceived by some as a revolutionary technology. Although AI has been around for...
Liability, Legal Humans Medical Errors Artificial Intelligence Confidentiality Malpractice Delivery of Health Care United States
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Teaching clinical reasoning: principles from the literature to help improve instruction from the classroom to the bedside.

Korean journal of medical education May 30, 2024
Clinical reasoning has been characterized as being an essential aspect of being a physician. Despite this, clinical reasoning has a variety of definitions and medical error, which is often attributed to clinical reasoning, has been reported to be a l...
Humans Teaching Education, Medical Artificial Intelligence Clinical Reasoning Clinical Competence Curriculum Medical Errors
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Current perspectives on the use of artificial intelligence in critical patient safety.

Medicina intensiva Apr 26, 2024
Intensive Care Units (ICUs) have undergone enhancements in patient safety, and artificial intelligence (AI) emerges as a disruptive technology offering novel opportunities. While the published evidence is limited and presents methodological issues, c...
Humans Artificial Intelligence Decision Support Systems, Clinical Critical Care Medical Errors Algorithms Patient Safety Intensive Care Units
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Artificial intelligence in brachytherapy: a summary of recent developments.

The British journal of radiology Apr 29, 2021
Artificial intelligence (AI) applications, in the form of machine learning and deep learning, are being incorporated into practice in various aspects of medicine, including radiation oncology. Ample evidence from recent publications explores its util...
Medical Errors Forecasting Radiation Oncology Brachytherapy Humans Artificial Intelligence
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Deep learning-based smart speaker to confirm surgical sites for cataract surgeries: A pilot study.

PloS one Apr 9, 2020
Wrong-site surgeries can occur due to the absence of an appropriate surgical time-out. However, during a time-out, surgical participants are unable to review the patient's charts due to their aseptic hands. To improve the conditions in surgical time-...
Pilot Projects Cataract Extraction Cataract Medical Errors Cell Phone Electronic Health Records Deep Learning Speech Humans
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Development and Validation of a Bayesian Network Method to Detect External Beam Radiation Therapy Physician Order Errors.

International journal of radiation oncology, biology, physics May 31, 2019
PURPOSE: To investigate a Bayesian network (BN)-based method to detect errors in external beam radiation therapy physician orders.
Humans Radiotherapy Setup Errors Neoplasms False Positive Reactions Technology, Radiologic Radiotherapy Dosage Cohort Studies Organ Specificity Neural Networks, Computer Algorithms Simulation Training Dose Fractionation, Radiation ROC Curve Medical Errors Radiotherapy Planning, Computer-Assisted Radiotherapy, Image-Guided Bayes Theorem Datasets as Topic Radiologists False Negative Reactions
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Detecting adverse drug reactions in discharge summaries of electronic medical records using Readpeer.

International journal of medical informatics May 25, 2019
BACKGROUND: Hospital discharge summaries offer a potentially rich resource to enhance pharmacovigilance efforts to evaluate drug safety in real-world clinical practice. However, it is infeasible for experts to read through all discharge summaries to ...
Adverse Drug Reaction Reporting Systems Humans Medical Errors Singapore Machine Learning Algorithms Patient Discharge Electronic Health Records Drug-Related Side Effects and Adverse Reactions Natural Language Processing
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Ensemble of machine learning algorithms using the stacked generalization approach to estimate the warfarin dose.

PloS one Oct 19, 2018
Warfarin dosing remains challenging due to narrow therapeutic index and highly individual variability. Incorrect warfarin dosing is associated with devastating adverse events. Remarkable efforts have been made to develop the machine learning based wa...
Thrombosis Aged, 80 and over Hemorrhage Databases, Factual Humans Male Pharmacogenetics Medical Errors Female Genotype Middle Aged Vitamin K Epoxide Reductases Anticoagulants Warfarin Multivariate Analysis International Cooperation Linkage Disequilibrium Machine Learning Algorithms Drug Administration Schedule Aged Cohort Studies Polymorphism, Single Nucleotide
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