Related Experiment Video
Updated: Apr 12, 2026
07:50
A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
16.7K
Applying machine learning and natural language processing to patient safety event reports: Identifying patterns of
Azade Tabaie1,2, Alberta K Tran2,3,4, Codrin Parau5
1Center for Biostatistics, Informatics, and Data Science, MedStar Health Research Institute, Washington, District of Columbia, United States of America.
Plos One
|April 10, 2026
Summary
Machine learning and natural language processing effectively identify cardiovascular diagnostic errors in patient safety reports. XGBoost model showed high performance, highlighting pacemakers and MRI orders as key risk factors.
Area of Science:
- Medical Informatics
- Clinical Data Analysis
- Patient Safety
Background:
- Cardiovascular diagnostic errors contribute to patient harm.
- Patient safety event (PSE) reports contain valuable information on medical errors.
- Identifying specific error patterns requires advanced analytical techniques.
Purpose of the Study:
- To evaluate the effectiveness of natural language processing (NLP) and machine learning (ML) in identifying cardiovascular diagnostic errors from PSE reports.
- To pinpoint common features and risk factors associated with these errors.
Main Methods:
- Utilized PSE reports from a multi-hospital system (2016-2021).
- Manually reviewed and labeled reports for cardiovascular diagnostic errors.
- Applied four ML models: logistic regression, elastic net, XGBoost, and deep neural networks.
Main Results:
- XGBoost achieved high performance (AUROC=0.914) in identifying error-related reports.
- Pacemaker presence, particularly with MRI orders, was a significant indicator.
- Key features included 'order,' 'EKG,' 'cardiac,' and 'chest,' aiding in understanding error contexts.
Conclusions:
- ML and NLP are feasible for identifying cardiovascular diagnostic errors in PSE data.
- Further validation in external healthcare systems is recommended for broader implementation.
Related Concept Videos
01:25Errors occurring during blood pressure monitoring
1.8K
Blood pressure monitoring is a crucial clinical procedure in diagnosing and managing various cardiovascular conditions. Despite its significance, the accuracy of blood pressure measurements can be compromised by multiple factors, potentially leading to either falsely high or low readings. These inaccuracies are critical as they can significantly impact patient care. So, it is vital to understand these challenges deeply and adopt strategic approaches to minimize errors.
Several factors...
Several factors...
1.8K
01:21Types of Reports II: Incident or Occurrence Report
1.4K
An Incident or Occurrence Report in a healthcare setting is a crucial document used to record any unexpected occurrence that may or may not have affected a patient, employee, or visitor. Such reports are critical to improving patient safety and include all details leading up to and including the event.
Purposes:
In the healthcare industry, reports play a crucial role in documenting incidents within an agency. The primary objective of these reports is to ensure patient safety, uphold the...
Purposes:
In the healthcare industry, reports play a crucial role in documenting incidents within an agency. The primary objective of these reports is to ensure patient safety, uphold the...
1.4K
01:30Pulse rhythm
1.7K
Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
1.7K
01:10Documentation of Nursing Diagnosis
1.9K
The nurse documents nursing diagnoses and enters them into the patient record. The identified patient's nursing diagnosis is either written out with a plan of care or entered into the electronic health record.
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters...
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters...
1.9K
01:26Types of Reports III: Telephone and Verbal Reports
1.1K
Telephone and Verbal Reports in healthcare settings are two communication methods for conveying therapeutic instructions from healthcare providers to nurses or other healthcare staff.
Here's an overview of each type:
Telephone Orders
Here's an overview of each type:
Telephone Orders
1.1K
01:19Pharmacovigilance
2.0K
Post-marketing surveillance is a critical component of pharmaceutical regulation, often uncovering unanticipated adverse drug reactions (ADRs) once a drug is widely used over an extended period.
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
2.0K