AIMC Topic: Risk Management

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Medication-rights detection using incident reports: A natural language processing and deep neural network approach.

Health informatics journal
Medication errors often occurred due to the breach of medication rights that are the right patient, the right drug, the right time, the right dose and the right route. The aim of this study was to develop a medication-rights detection system using na...

A systematic review of natural language processing for classification tasks in the field of incident reporting and adverse event analysis.

International journal of medical informatics
CONTEXT: Adverse events in healthcare are often collated in incident reports which contain unstructured free text. Learning from these events may improve patient safety. Natural language processing (NLP) uses computational techniques to interrogate f...

An automated pipeline for analyzing medication event reports in clinical settings.

BMC medical informatics and decision making
BACKGROUND: Medication events in clinical settings are significant threats to patient safety. Analyzing and learning from the medication event reports is an important way to prevent the recurrence of these events. Currently, the analysis of medicatio...

Artificial intelligence: Implications for the health care risk manager?

Journal of healthcare risk management : the journal of the American Society for Healthcare Risk Management

The effect of establishing pre-angiography thresholds on contrast utilization.

Journal of interventional cardiology
INTRODUCTION: Contrast induced nephropathy is linked to contrast utilization and strategies for minimizing renal injury are incorporated into many laboratories that perform coronary angiography. Contrast limits have been described, below which there ...

Using multiclass classification to automate the identification of patient safety incident reports by type and severity.

BMC medical informatics and decision making
BACKGROUND: Approximately 10% of admissions to acute-care hospitals are associated with an adverse event. Analysis of incident reports helps to understand how and why incidents occur and can inform policy and practice for safer care. Unfortunately ou...

Integrating natural language processing expertise with patient safety event review committees to improve the analysis of medication events.

International journal of medical informatics
OBJECTIVES: Many healthcare providers have implemented patient safety event reporting systems to better understand and improve patient safety. Reviewing and analyzing these reports is often time consuming and resource intensive because of both the qu...

An integrated breast cancer risk assessment and management model based on fuzzy cognitive maps.

Computer methods and programs in biomedicine
BACKGROUND: There is a growing demand for women to be classified into different risk groups of developing breast cancer (BC). The focus of the reported work is on the development of an integrated risk prediction model using a two-level fuzzy cognitiv...

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...

Federated Machine Learning Enables Risk Management and Privacy Protection in Water Quality.

Environmental science & technology
Real-time water quality risk management in wastewater treatment plants (WWTPs) requires extensive data, and data sharing is still just a slogan due to data privacy issues. Here we show an adaptive water system federated averaging (AWSFA) framework ba...