Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Free-falling Bodies: Example01:05

Free-falling Bodies: Example

33.0K
An object falling without any air resistance under the influence of gravitational force is said to be in free-fall. For free-falling bodies, the acceleration due to gravity is constant, irrespective of their mass. Free-fall is experienced not only by objects falling downward, but also by all objects whose motion is influenced by gravitational force alone. The dynamics of free-fall motion can be calculated using kinematic equations of motion, since free-fall acceleration is constant.
The...
33.0K
Free-falling Bodies: Introduction01:07

Free-falling Bodies: Introduction

13.4K
All objects, neglecting air resistance, fall with the same acceleration towards the Earth's center due to the force exerted by the Earth's gravity. This experimentally determined fact is unexpected because we are so accustomed to the effects of air resistance and friction that we expect light objects to fall slower than heavier ones. People believed that a heavier object had a greater acceleration when falling until Galileo Galilei (1564–1642) proved otherwise. We now know this is...
13.4K
Location and Orientation of the Heart01:13

Location and Orientation of the Heart

11.0K
The human heart, despite its modest size and weight, is an organ of remarkable strength and endurance. Roughly the size of a fist, the heart weighs between 250 and 350 grams and is nestled within the mediastinum, the medial cavity of the thorax. It extends obliquely for about 12 to 14 cm, resting on the superior surface of the diaphragm. The heart is positioned anterior to the vertebral column and posterior to the sternum, with two-thirds of its mass lying to the left of the midsternal line.
11.0K
Group Design02:01

Group Design

10.8K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
10.8K
Factorial Design02:01

Factorial Design

14.2K
Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
14.2K
Data Reporting and Recording01:24

Data Reporting and Recording

5.5K
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...
5.5K

You might also read

Related Articles

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

Sort by
Same author

An Integrated Visualization of Continuous Glucose and Insulin Pump Data for Patients.

Studies in health technology and informatics·2026
Same author

Benchmarking information extraction of physical activity from electronic health record with large language models: an natural language processing pipeline and comparative evaluation.

Journal of the American Medical Informatics Association : JAMIA·2026
Same author

Digital health and consumer health informatics: past and future.

Medical research archives·2026
Same author

The gut microbial metabolite phenylacetylglutamine exacerbates severe acute pancreatitis by promoting ferroptosis and TLR4/NF-κB signaling pathways.

International immunopharmacology·2026
Same author

Hootation: A GUI and API library for ontology validation and verbalization.

Proceedings. IEEE International Conference on Semantic Computing·2026
Same author

Interactive Visualization of Patient Safety Events in MAUDE.

Studies in health technology and informatics·2026
Same journal

A GenAI Pipeline for Violinist Kinematic Data Management.

Studies in health technology and informatics·2026
Same journal

AMAL-For-Qatar: A Comprehensive AI Ecosystem for Fetal Ultrasound Analysis - Project Overview and Achievements.

Studies in health technology and informatics·2026
Same journal

Longitudinal Treatment-Aware Multimodal AI for Dermatology: A Scoping Review.

Studies in health technology and informatics·2026
Same journal

Predicting Postpartum Depression Using Imbalance-Aware Machine Learning.

Studies in health technology and informatics·2026
Same journal

Validation of Deep-Learning Models for Autosegmentation of Brain Metastases.

Studies in health technology and informatics·2026
Same journal

Delay-Dependent Gating in Modular RNNs.

Studies in health technology and informatics·2026
See all related articles

Related Experiment Video

Updated: Feb 16, 2026

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

11.2K

Design a Learning-Oriented Fall Event Reporting System Based on Kirkpatrick Model.

Sicheng Zhou1, Hong Kang1, Yang Gong1

  • 1School of Biomedical Informatics, The University of Texas Health Science Center, Houston, Texas, USA.

Studies in Health Technology and Informatics
|January 4, 2018
PubMed
Summary
This summary is machine-generated.

Patient falls are a major healthcare issue. This study introduces an improved web-based reporting system that analyzes fall events, offering timely knowledge support to reduce patient falls and enhance safety.

Keywords:
Accidental FallsIncidental FindingsPatient Safety

More Related Videos

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.6K
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

8.1K

Related Experiment Videos

Last Updated: Feb 16, 2026

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

11.2K
Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.6K
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

8.1K

Area of Science:

  • Healthcare quality improvement
  • Patient safety research
  • Health informatics

Background:

  • Patient falls present a significant global challenge in healthcare facilities, marked by high prevalence and substantial costs.
  • Existing fall prevention training programs often yield suboptimal effectiveness.
  • Current event reporting systems, while trending for patient safety, possess inherent limitations.

Purpose of the Study:

  • To address the limitations of traditional patient fall event reporting systems.
  • To introduce an improved, web-based fall event reporting system designed to enhance patient safety.
  • To integrate the Kirkpatrick model for evaluating the system's effectiveness in training and knowledge dissemination.

Main Methods:

  • A comprehensive literature review was conducted to identify limitations in existing fall event reporting systems.
  • An improved web-based fall event reporting system was developed, incorporating the Kirkpatrick model.
  • The system was designed for automatic annotation and analysis of reported fall events, providing targeted knowledge support.

Main Results:

  • The developed system moves beyond simple data collection to offer automated analysis and knowledge dissemination.
  • Features are intended to provide timely, event-specific knowledge support to healthcare professionals.
  • The system aims to facilitate learning from past errors to proactively reduce future patient falls.

Conclusions:

  • The enhanced reporting system offers a novel approach to patient fall prevention by leveraging automated analysis and knowledge support.
  • Integration of the Kirkpatrick model provides a framework for evaluating the system's impact on reducing patient falls.
  • This system represents a significant advancement in utilizing technology for improving patient safety and reducing fall incidents.