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

Concepts of Health and Illness01:29

Concepts of Health and Illness

18.9K
Health is a condition of the body, mind, and spirit where an individual remains free from illness. Similarly, wellness is an active state, including living a lifestyle that promotes physical, mental, and emotional health. Physical health is critical for the overall well-being and can be affected by lifestyle, activity level, diet, and behavior. The highest attainable standard of health is a fundamental and universal human right. Consider Lisa, a fifteen-year-old born with congenital...
18.9K
Models of Health Promotion and Illness Prevention I01:25

Models of Health Promotion and Illness Prevention I

2.9K
A model is a theoretical way to understand a concept or an idea. Models can overcome barriers to health regardless of diverse economic and cultural backgrounds. In addition, models make the task easier by providing different ways to approach complex issues. There are two major health promotion models: the health belief model and the health promotion model.
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
2.9K
Models of Health Promotion and Illness Prevention II01:18

Models of Health Promotion and Illness Prevention II

2.2K
The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
The agent-host-environment model states that disease results...
2.2K
Methods of Documentation VII: EMR01:30

Methods of Documentation VII: EMR

1.5K
Electronic Medical Records (EMRs) primarily center around electronically documenting patients' health information within a single healthcare organization or practice. They contain essential clinical data related to a patient's medical history, diagnoses, medications, treatment plans, lab results, and other pertinent information relevant to the specific encounter or episode of care. EMRs are designed to streamline documentation and workflow processes within individual healthcare...
1.5K
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

979
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
979
Interdisciplinary Care: The Health Care Team-I01:21

Interdisciplinary Care: The Health Care Team-I

2.8K
An interdisciplinary team includes many healthcare professionals working together and utilizing their skills, knowledge, and expertise to provide holistic and quality patient care.
Physicians
The physician's primary responsibility is to diagnose illness and direct the medical or surgical treatment of the condition. The authority to admit patients to a healthcare agency or institution and practice care within that setting is granted to physicians by the healthcare agency or institution...
2.8K

You might also read

Related Articles

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

Sort by
Same author

Effects of virtual reality in improving upper extremity function after stroke: A systematic review and meta-analysis of randomized controlled trials.

Clinical rehabilitation·2021
Same author

Using environmental DNA methods to improve detectability in an endangered sturgeon (Acipenser sinensis) monitoring program.

BMC ecology and evolution·2021
Same author

Blood phenylalanine reduction reverses gene expression changes observed in a mouse model of phenylketonuria.

Scientific reports·2021
Same author

Lipoxin A4 promotes adipogenic differentiation and browning of mouse embryonic fibroblasts.

In vitro cellular & developmental biology. Animal·2021
Same author

Human urinary kallidinogenase combined with edaravone in treating acute ischemic stroke patients: A meta-analysis.

Brain and behavior·2021
Same author

Curcumol simultaneously induces both apoptosis and autophagy in human nasopharyngeal carcinoma cells.

Phytotherapy research : PTR·2021

Related Experiment Video

Updated: Feb 25, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

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

Published on: May 15, 2020

8.2K

E-Health Readiness for Teams: A Comprehensive Conceptual Model.

James Phillips1, Dan Yu1, Simon K Poon1

  • 1School of Information Technologies, The University of Sydney, Australia.

Studies in Health Technology and Informatics
|July 31, 2017
PubMed
Summary

This study introduces a four-factor model to measure interdisciplinary healthcare readiness for e-health services. It aims to improve patient outcomes by identifying and overcoming barriers to effective e-health adoption.

Keywords:
Delphi techniqueTelemedicineconceptual modelpatient care teamq-methodologyq-sortreadiness

More Related Videos

Development and Implementation of a Multi-Disciplinary Technology Enhanced Care Pathway for Youth and Adults with Concussion
08:13

Development and Implementation of a Multi-Disciplinary Technology Enhanced Care Pathway for Youth and Adults with Concussion

Published on: January 20, 2019

7.2K
Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
09:52

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

Published on: January 15, 2017

18.0K

Related Experiment Videos

Last Updated: Feb 25, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

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

Published on: May 15, 2020

8.2K
Development and Implementation of a Multi-Disciplinary Technology Enhanced Care Pathway for Youth and Adults with Concussion
08:13

Development and Implementation of a Multi-Disciplinary Technology Enhanced Care Pathway for Youth and Adults with Concussion

Published on: January 20, 2019

7.2K
Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
09:52

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

Published on: January 15, 2017

18.0K

Area of Science:

  • Health Informatics
  • Healthcare Management
  • Digital Health

Background:

  • Information technology is widely used in healthcare delivery but faces significant adoption barriers.
  • Effective integration of e-health requires assessing interdisciplinary readiness.
  • Previous research highlights challenges in implementing digital health solutions.

Purpose of the Study:

  • To propose a comprehensive, four-factor conceptual model for measuring interdisciplinary healthcare readiness for e-health.
  • To provide a validated tool for assessing the capacity of healthcare teams to utilize e-health services.
  • To enhance patient outcomes by addressing barriers to effective e-health implementation.

Main Methods:

  • Development of a conceptual model incorporating factors from focus groups and literature review.
  • Utilisation of the Delphi method for establishing content validity of the model.
  • Application of Q sorts for initial construct validity assessment.

Main Results:

  • A validated four-factor conceptual model for interdisciplinary healthcare readiness in e-health was developed.
  • The model effectively incorporates key factors influencing e-health adoption.
  • Content and construct validity were established through rigorous methodological approaches.

Conclusions:

  • The proposed model offers a robust framework for assessing healthcare readiness for e-health.
  • Identifying and addressing barriers through this model can lead to more effective e-health utilization.
  • Improved e-health integration has the potential to significantly enhance patient outcomes and healthcare efficiency.