Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Data Reporting and Recording

Data Reporting and Recording

Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...

Purpose of Health Records I

Purpose of Health Records I

The vital purpose of health records is to provide a complete and accurate account of a patient's medical history, including communication, diagnostic and therapeutic orders, care planning, research, and quality review.
Here's a breakdown of how health records serve these purposes:

Purpose of Health Records II

Purpose of Health Records II

Health records serve various essential purposes in the healthcare system. Here are some key purposes:

Electronic Structure of Atoms

Electronic Structure of Atoms

An atom comprises protons and neutrons, which are contained inside the dense, central core called the nucleus, with electrons present around the nucleus. Taking into account the wave–particle duality of electrons and the uncertainty in position around the nucleus, quantum mechanics provides a more accurate model for the atomic structure. It describes atomic orbitals as the regions around the nucleus where electrons of discrete energy exist, characterized by four quantum...

Radicals: Electronic Structure and Geometry

Radicals: Electronic Structure and Geometry

This lesson delves into the geometry of a radical, which is influenced by the electronic structure of the molecule. The principle is similar to that of a lone pair, where the unpaired electron influences the geometry at the radical center.
Accordingly, the structure of a trivalent radical lies between the geometries of carbocations and carbanions. An sp2-hybridized carbocation is trigonal planar, while an sp3-hybridized carbanion is trigonal pyramidal. Here, the difference in geometry is...

Bleeding in Fresh Concrete

Bleeding in Fresh Concrete

Bleeding in fresh concrete occurs when water from the mix rises to the surface. This happens because the mix's solid components fail to retain all the water as they settle, leading to separation where water collects at the top. The severity of bleeding can be measured by assessing the total settlement or by noting the decrease in height per unit height of concrete.
Bleeding can cause several issues in the concrete structure. Sometimes, the rising water gets trapped beneath large aggregate...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

[Evaluation of hyperferitinemia].

Revue medicale suisse·2026

Same author

Clarifying the relationship between biomedical and health informatics and digital health: expert perspectives.

BMJ health & care informatics·2026

Same author

Forecasting the Multidimensional Burdens of Hospital Admissions in LRTIs and COPD: Projections of Healthcare Expenditures, Resource Utilization, and Socioeconomic and Environmental Outcomes for Switzerland.

Infectious diseases and therapy·2026

Same author

[Semantics in support of clinical research].

Revue medicale suisse·2026

Same author

A Chronic Pain Self-Management Mobile App (Dolodoc): Cross-Sectional Acceptability Study.

JMIR human factors·2026

Same author

Increasing the reporting of adverse drug reaction-related hospitalizations using an ICD-10-based identification workflow: A multicentre study from Switzerland.

British journal of clinical pharmacology·2026

Search research articles

Related Experiment Video

Updated: Jan 31, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

Detection of Antithrombotic-Related Bleeding in Older Inpatients: Multicenter Retrospective Study Using Structured

Claire Coumau^1,2,3, Frederic Gaspar^1,2,3, Mehdi Zayene⁴

¹Center for Research and Innovation in Clinical Pharmaceutical Sciences, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 19, Lausanne, Switzerland, 1 021 314 42 63.

Journal of Medical Internet Research

|January 29, 2026

Summary

Automated algorithms combining structured data and NLP effectively detect bleeding events in older patients on antithrombotics. This approach improves drug safety surveillance and clinical risk management for major bleeding (MB) and clinically relevant nonmajor bleeding (CRNMB).

Keywords:

adverse drug events adverse drug reactions antithrombotic artificial intelligence electronic medical records hemorrhage machine learning multicenter study natural language processing older inpatients pharmacovigilance structured data mining

More Related Videos

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

Published on: April 13, 2021

Cryo-Electron Tomography Remote Data Collection and Subtomogram Averaging

Cryo-Electron Tomography Remote Data Collection and Subtomogram Averaging

Published on: July 12, 2022

Related Experiment Videos

Last Updated: Jan 31, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

Published on: April 13, 2021

Cryo-Electron Tomography Remote Data Collection and Subtomogram Averaging

Cryo-Electron Tomography Remote Data Collection and Subtomogram Averaging

Published on: July 12, 2022

Area of Science:

Medical Informatics
Pharmacovigilance
Clinical Data Science

Background:

Bleeding complications are a significant risk for older inpatients using antithrombotic agents.
Accurate detection of bleeding events is crucial for drug safety and patient risk management.

Purpose of the Study:

To develop and validate automated algorithms for detecting major bleeding (MB) and clinically relevant nonmajor bleeding (CRNMB).
To combine structured data-based rule models and natural language processing (NLP) for enhanced bleeding event detection.
To evaluate algorithm performance and generalizability using a gold standard and external dataset.

Main Methods:

Retrospective multicenter study using electronic medical records (EMRs) from Swiss university hospitals.
Development of rule-based algorithms using structured data (ICD-10-GM codes, labs, transfusions, prescriptions).
Application of a supervised NLP model to discharge summaries and combination with structured data algorithms (SDA+NLP) for validation.

Main Results:

The combined SDA+NLP model achieved the best performance (sensitivity 0.84, PPV 0.51, F1-score 0.64) in detecting MB and CRNMB.
Laboratory data was the most significant contributor to event detection within the structured data algorithms.
External validation confirmed algorithm reproducibility, with evolving prevalence reflecting clinical practice changes.

Conclusions:

An integrated approach combining structured data algorithms (SDA) and NLP enhances bleeding event detection in older inpatients on antithrombotics.
This method shows potential utility for improving drug safety monitoring and clinical risk management.
The findings highlight the importance of advanced data analysis for pharmacovigilance.