AIMC Topic: Risk Management

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Environment and CVD: moving from Risk Prediction to Risk Management.

Current atherosclerosis reports
PURPOSE OF REVIEW: We attempt to provide a framework for cardiovascular risk assessment related to environmental pollutants to enhance awareness of risk posed by environmental risk factors and highlight approaches for risk intervention.

What emotions reveal about patient safety: GPT-4-based sentiment and emotion analysis of 11056 German CIRS medical reports (2005-2024).

BMJ health & care informatics
OBJECTIVES: Critical incident reporting systems (CIRS) collect narrative reports on medical errors, but emotional signals within these reports, potential indicators of perceived risk and systemic weakness, are rarely examined. This cross-sectional st...

Advanced machine learning models for accurate water quality classification and WQI prediction: Implications for aquatic disease risk management.

The Science of the total environment
Accurate classification of water quality and precise prediction of the Water Quality Index (WQI) are essential for safeguarding aquatic ecosystems and mitigating disease risks in aquaculture. This study systematically evaluates multiple machine learn...

Assessing the transferability of BERT to patient safety: classifying multiple types of incident reports.

BMJ health & care informatics
OBJECTIVE: To evaluate the transferability of BERT (Bidirectional Encoder Representations from Transformers) to patient safety, we use it to classify incident reports characterised by limited data and encompassing multiple imbalanced classes.

A hybrid reinforcement learning and knowledge graph framework for financial risk optimization in healthcare systems.

Scientific reports
Effective financial risk management in healthcare systems requires intelligent decision-making that balances treatment quality with cost efficiency. This paper proposes a novel hybrid framework that integrates reinforcement learning (RL) with knowled...

Regulating Generative AI in Radiology Practice: A Trilaminar Approach to Balancing Risk with Innovation.

Academic radiology
Generative AI tools have proliferated across the market, garnered significant media attention, and increasingly found incorporation into the radiology practice setting. However, they raise a number of unanswered questions concerning governance and ap...

Risk formulation mechanism among top global energy companies under large shocks.

PloS one
Taking top global energy companies as the epitome, this paper investigates the risk formulation mechanism of the international energy market under the impact of large shocks. We first use the machine learning method in (Liu and Pun, 2022) to calculat...

Exploring Suitability of Low-Severity Rating Hospital Incident Reports for Machine Learning.

Computers, informatics, nursing : CIN
Electronic incident reporting is a key quality and a safety process for healthcare organizations that assists in evaluating performance and informing quality improvement initiatives. Although it is mandatory for high-severity incident reports to be i...

Improving the usability of large emergency 911 data reporting systems: A machine learning case study using emergency incident descriptions.

Journal of safety research
INTRODUCTION: Emergency 9-1-1 incident data are recorded voluntarily within fire-department-specific computer-aided dispatch systems. The National Fire Incident Reporting System serves as a repository for these data, but inconsistency and variability...