AIMC Topic: Risk Management

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Algorithms on regulatory lockdown in medicine.

Science (New York, N.Y.) Dec 6, 2019
Risk Management Biomedical Technology Artificial Intelligence Algorithms
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Using convolutional neural networks to identify patient safety incident reports by type and severity.

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
OBJECTIVE: To evaluate the feasibility of a convolutional neural network (CNN) with word embedding to identify the type and severity of patient safety incident reports.
Humans Neural Networks, Computer Patient Safety Feasibility Studies Classification Medical Errors Support Vector Machine Risk Management
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Clinical Safety Incident Taxonomy Performance on C4.5 Decision Tree and Random Forest.

Studies in health technology and informatics Aug 8, 2019
The paper applies an artificial intelligence centered method to classify 12 clinical safety incident (CSI) classes. The paper aims to establish a taxonomy that classifies the CSI reports into their correct classes automatically and with high accuracy...
Patient Safety Decision Trees Risk Management Humans Artificial Intelligence
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Artificial Intelligence and the Future of the Drug Safety Professional.

Drug safety Apr 1, 2019
The healthcare industry, and specifically the pharmacovigilance industry, recognizes the need to support the increasing amount of data received from individual case safety reports (ICSRs). To cope with this increase, more healthcare and qualified pro...
Humans Algorithms Health Personnel Decision Making Artificial Intelligence Machine Learning Pharmacovigilance Risk Management Drug-Related Side Effects and Adverse Reactions
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Five steps to organisational resilience: Being adaptive and flexible during both normal operations and times of disruption.

Journal of business continuity & emergency planning Jan 1, 2018
This paper outlines the importance of organisational resilience and the need for businesses to take a dynamic, innovative and proactive approach in managing risks to their reputation, operations, financial position and viability. It proposes a way of...
Disaster Planning Organizations Internet Risk Management Commerce
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Can Staff Distinguish Falls: Experimental Hypothesis Verification Using Japanese Incident Reports and Natural Language Processing.

Studies in health technology and informatics Jan 1, 2018
Falls are generally classified into two groups in clinical settings in Japan: falls from the same level and falls from one level to another. We verified whether clinical staff could distinguish between these two types of falls by comparing 3,078 free...
Risk Management Japan Accidental Falls Natural Language Processing Humans Machine Learning
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Robotics: Ethics of artificial intelligence.

Nature May 28, 2015
Humans Pattern Recognition, Automated Diagnosis Artificial Intelligence Weapons Symbiosis Decision Support Systems, Clinical Research Personnel Risk Management Robotics Public Opinion Healthcare Disparities Communication
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Enhancing Patient Safety Event Reporting by K-nearest Neighbor Classifier.

Studies in health technology and informatics Jan 1, 2015
Data quality was placed as a major reason for the low utility of patient safety event reporting systems. A pressing need in improving data quality has advanced recent research focus in data entry associated with human factors. The debate on structure...
Data Accuracy Quality Improvement Machine Learning Pattern Recognition, Automated Decision Support Systems, Clinical Risk Management Medical Errors Data Mining United States Patient Safety Meaningful Use
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On Building an Ontological Knowledge Base for Managing Patient Safety Events.

Studies in health technology and informatics Jan 1, 2015
Over the past decade, improving healthcare quality and safety through patient safety event reporting systems has drawn much attention. Unfortunately, such systems are suffering from low data quality, inefficient data entry and ineffective information...
Medical Errors Biological Ontologies Terminology as Topic Texas Knowledge Bases Internationality Patient Safety Electronic Health Records Risk Management
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Automated Classification of Clinical Incident Types.

Studies in health technology and informatics Jan 1, 2015
We consider the task of automatic classification of clinical incident reports using machine learning methods. Our data consists of 5448 clinical incident reports collected from the Incident Information Management System used by 7 hospitals in the sta...
Machine Learning Sensitivity and Specificity Hospital Information Systems Risk Management Reproducibility of Results Medical Errors Bayes Theorem New South Wales Pattern Recognition, Automated
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