AIMC Topic: Risk Management

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Machine Learning-Based Clinical Decision Support System for Suicide Risk Management: The PERMANENS Project.

Studies in health technology and informatics May 15, 2025
The PERMANENS European project addresses the global public health challenge of self-harm and suicide by developing a machine learning-based Clinical Decision Support System (CDSS) to assist emergency departments (EDs) in providing personalized care. ...
Humans Machine Learning Europe Emergency Service, Hospital Risk Management Suicide Prevention Decision Support Systems, Clinical
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Building organisational cyber resilience: A strategic knowledge-based view of cyber security management.

Journal of business continuity & emergency planning May 13, 2025
The concept of cyber resilience has emerged in recent years in response to the recognition that cyber security is more than just risk management. Cyber resilience is the goal of organisations, institutions and governments across the world and yet the...
Knowledge Bases Commerce Computer Security Humans Disaster Planning Risk Management
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Proposing an AI Passport as a Mitigating Action of Risk Associated to Artificial Intelligence in Healthcare.

Studies in health technology and informatics Aug 22, 2024
The integration of Artificial Intelligence (AI) in healthcare signifies a substantial shift, offering benefits to patients and healthcare systems while also introducing new risks. The emphasis on patient safety and performance standards is pivotal, e...
Risk Management European Union Humans Patient Safety Artificial Intelligence Risk Assessment
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Analysis of Critical Incident Reports Using Natural Language Processing.

Studies in health technology and informatics Apr 26, 2024
UNLABELLED: A Critical Incident Reporting System (CIRS) collects anecdotal reports from employees, which serve as a vital source of information about incidents that could potentially harm patients.
Humans COVID-19 SARS-CoV-2 Switzerland Natural Language Processing Medical Errors Risk Management
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The use of natural language processing in detecting and predicting falls within the healthcare setting: a systematic review.

International journal for quality in health care : journal of the International Society for Quality in Health Care Oct 17, 2023
Falls are a common problem associated with significant morbidity, mortality, and economic costs. Current fall prevention policies in local healthcare settings are often guided by information provided by fall risk assessment tools, incident reporting,...
Risk Factors Risk Assessment Humans Retrospective Studies Natural Language Processing 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...
Machine Learning Technology Pilot Projects Risk Management Humans
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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.
Risk Management Machine Learning Algorithms
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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.
Risk Management Datasets as Topic Unified Medical Language System Medical Errors Semantics Support Vector Machine 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...
Electronic Health Records Risk Management Safety Management Medical Errors Machine Learning
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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 Electronic Health Records Patient Readmission Data Analysis Female Humans Male Retrospective Studies Risk Factors Machine Learning Middle Aged Aged
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