AIMC Topic: Risk Management

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Integrating Human Patterns of Qualitative Coding with Machine Learning: A Pilot Study Involving Technology-Induced Error Incident Reports.

Studies in health technology and informatics Jun 29, 2022
The objective of this research was to develop a reproducible method of integrating human patterns of qualitative coding with machine learning. The application of qualitative codes from the technology-induced error and safety literatures to the analys...
Technology Pilot Projects Risk Management Humans Machine Learning
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Evaluating resampling methods and structured features to improve fall incident report identification by the severity level.

Journal of the American Medical Informatics Association : JAMIA Jul 30, 2021
OBJECTIVE: This study aims to improve the classification of the fall incident severity level by considering data imbalance issues and structured features through machine learning.
Algorithms Risk Management Machine Learning
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Can Unified Medical Language System-based semantic representation improve automated identification of patient safety incident reports by type and severity?

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2020
OBJECTIVE: The study sought to evaluate the feasibility of using Unified Medical Language System (UMLS) semantic features for automated identification of reports about patient safety incidents by type and severity.
Medical Errors Risk Management Datasets as Topic Semantics Support Vector Machine Unified Medical Language System Humans Natural Language Processing Patient Safety
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Detecting Severe Incidents from Electronic Medical Records Using Machine Learning Methods.

Studies in health technology and informatics Jun 16, 2020
The goal of this research was to design a solution to detect non-reported incidents, especially severe incidents. To achieve this goal, we proposed a method to process electronic medical records and automatically extract clinical notes describing sev...
Machine Learning Safety Management Medical Errors Electronic Health Records Risk Management
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Leveraging Electronic Health Records and Machine Learning to Tailor Nursing Care for Patients at High Risk for Readmissions.

Journal of nursing care quality Jan 1, 2020
BACKGROUND: Electronic health record-derived data and novel analytics, such as machine learning, offer promising approaches to identify high-risk patients and inform nursing practice.
Nursing Care Risk Management Patient Readmission Risk Factors Aged Male Middle Aged Electronic Health Records Female Humans Machine Learning Data Analysis Retrospective Studies
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Algorithms on regulatory lockdown in medicine.

Science (New York, N.Y.) Dec 6, 2019
Algorithms Artificial Intelligence Biomedical Technology Risk Management
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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 Feasibility Studies Classification Medical Errors Neural Networks, Computer Support Vector Machine Patient Safety 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...
Risk Management Humans Artificial Intelligence Patient Safety Decision Trees
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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...
Decision Making Risk Management Humans Algorithms Health Personnel Artificial Intelligence Machine Learning Drug-Related Side Effects and Adverse Reactions Pharmacovigilance
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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 Internet Commerce Organizations Risk Management
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