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

Serum Laboratory Studies, Stool Test, Breath Test01:30

Serum Laboratory Studies, Stool Test, Breath Test

929
Gastrointestinal (GI) diagnostic studies are pivotal in confirming, ruling out, diagnosing, or staging various diseases, including cancers. Following diagnosis, allocating time for discussions with the patient and providing informational resources is crucial. Diagnostic assessments of the GI tract often occur in outpatient settings like endoscopy suites or GI labs. Preparation for these tests may include dietary restrictions, fasting, liquid bowel preparations, laxatives, enemas, and the...
929
Methods of Classification and Identification01:28

Methods of Classification and Identification

1.3K
Bacterial identification relies on a diverse array of techniques to classify and understand microorganisms, each tailored to uncover specific characteristics. Traditional morphological approaches, while still valuable, are limited for closely related or structurally simple organisms. Modern methods integrate biochemical, serological, genetic, and advanced molecular tools to achieve greater accuracy.Morphological and Biochemical TechniquesMorphological characteristics, such as cell shape and...
1.3K
Documentation of Nursing Diagnosis01:10

Documentation of Nursing Diagnosis

1.8K
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...
1.8K
Formulating and Validating Nursing Diagnosis II01:25

Formulating and Validating Nursing Diagnosis II

4.1K
Nursing diagnoses represent a problem validated by major defining characteristics. There are four categories of nursing diagnoses: problem-focused, risk, health promotion or wellness, and syndrome. The anatomy of a nursing diagnosis includes three components: problem statement or diagnostic label, defining characteristics, and related factors.
Risk nursing diagnoses represent clinical judgments of an individual, family, or community more vulnerable to developing the health problem than others...
4.1K

You might also read

Related Articles

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

Sort by
Same author

Report on Electroencephalographic Findings in Critically Ill Patients with COVID-19.

Annals of neurology·2020
Same author

From direct to indirect lithium targets: a comprehensive review of omics data.

Metallomics : integrated biometal science·2017
Same author

Revue de l'infirmiere·2016
Same author

Toward interoperable bioscience data.

Nature genetics·2012

Related Experiment Video

Updated: Feb 19, 2026

Using Micro-Electro-Mechanical Systems MEMS to Develop Diagnostic Tools
16:05

Using Micro-Electro-Mechanical Systems MEMS to Develop Diagnostic Tools

Published on: October 1, 2007

8.0K

[Tools for assisting diagnosis].

Magali Roux1, Sonya Asset2, Samir Medjebar2

  • 1BioSerenity, Institut des épileptiques, 59, boulevard Pinel, 69500 Bron, France.

Revue De L'Infirmiere
|November 13, 2017
PubMed
Summary

Connected objects, or the Internet of Things (IoT), enhance patient autonomy and remote healthcare. This technology offers new possibilities for managing conditions like epilepsy outside traditional clinical settings.

Keywords:
connected objectdispositifs médicauxepilepsymedical devicesobjet connectéoutilpatienttoolépilepsie

More Related Videos

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
04:19

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis

Published on: May 10, 2022

4.6K
Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
11:29

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools

Published on: June 20, 2020

9.9K

Related Experiment Videos

Last Updated: Feb 19, 2026

Using Micro-Electro-Mechanical Systems MEMS to Develop Diagnostic Tools
16:05

Using Micro-Electro-Mechanical Systems MEMS to Develop Diagnostic Tools

Published on: October 1, 2007

8.0K
A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
04:19

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis

Published on: May 10, 2022

4.6K
Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
11:29

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools

Published on: June 20, 2020

9.9K

Area of Science:

  • Biomedical Engineering
  • Digital Health
  • Neurology

Background:

  • Connected objects are transforming healthcare delivery by enabling remote patient monitoring.
  • Patient autonomy and decentralized care models are increasingly important in modern medicine.
  • Epilepsy management requires continuous monitoring and timely interventions.

Purpose of the Study:

  • To explore the application of connected object technology in epilepsy care.
  • To demonstrate how IoT devices can support patient autonomy.
  • To illustrate the potential for healthcare delivery beyond conventional facilities.

Main Methods:

  • Review of current connected object technologies relevant to healthcare.
  • Case study analysis of IoT implementation in epilepsy management.
  • Discussion of benefits and challenges of integrating these tools.

Main Results:

  • Connected objects can provide continuous, real-time data for epilepsy patients.
  • These tools empower patients with greater control over their health management.
  • Healthcare can be extended to home environments, improving accessibility.

Conclusions:

  • Connected objects offer a promising avenue for enhancing epilepsy care and patient autonomy.
  • The integration of IoT in healthcare facilitates a shift towards more decentralized and patient-centered models.
  • Further research and development are needed to optimize these technologies for widespread clinical adoption.