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

Models of Health Promotion and Illness Prevention I01:25

Models of Health Promotion and Illness Prevention I

2.2K
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...
2.2K
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

644
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...
644
Models of Health Promotion and Illness Prevention II01:18

Models of Health Promotion and Illness Prevention II

1.8K
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...
1.8K
Concepts of Health and Illness01:29

Concepts of Health and Illness

15.8K
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...
15.8K
Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

129
Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
129
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

967
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
967

You might also read

Related Articles

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

Sort by
Same author

Machine learning approaches for predicting protein-ligand binding sites from sequence data.

Frontiers in bioinformatics·2025
Same author

DeepLigType: Predicting Ligand Types of Protein-Ligand Binding Sites Using a Deep Learning Model.

IEEE transactions on computational biology and bioinformatics·2024
Same author

The emerging postural instability phenotype in idiopathic Parkinson disease.

NPJ Parkinson's disease·2022
Same journal

Beyond accessibility: co-designing mHealth to bridge the physical activity gap for people with disabilities.

mHealth·2026
Same journal

Smart home Internet of Things-based behavioural analysis for early detection of cognitive decline: toward Saudi future vision.

mHealth·2026
Same journal

A systematic review assessing mobile health (mHealth) physical activity interventions in older adults with and without chronic health conditions.

mHealth·2026
Same journal

Acceptability of an adolescent lifestyle mHealth app: a qualitative study using focus groups and interviews.

mHealth·2026
Same journal

Evaluation of AI-generated versus registered dietitian-authored nutrition responses: a cross-sectional study.

mHealth·2026
Same journal

A cross-sectional analysis of low-cost non-cancer registry recruitment sources for a hybrid type 2 trial evaluating a digital intervention for melanoma survivors.

mHealth·2026
See all related articles

Related Experiment Video

Updated: Sep 26, 2025

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management
05:35

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management

Published on: January 19, 2024

954

Value-based modeling for mobile health application development.

Michael M Lipscomb1, Alhefdi Mohammad1, Alharthi Abdulrahman1

  • 1Department of Electrical & Computer Engineering, University of Alabama at Birmingham, AL, USA.

Mhealth
|April 22, 2022
PubMed
Summary
This summary is machine-generated.

Value-based modeling enhances mobile health app design by focusing on value exchanges. An automated decision-making subsystem improves patient care by recommending micro-adjustments, addressing time, cost, and access limitations.

Keywords:
PArchitectValue-based modelingconvergencedesign sciencemobile

More Related Videos

An Application for Pairing with Wearable Devices to Monitor Personal Health Status
06:58

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

Published on: February 3, 2022

3.0K
Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
07:51

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Published on: September 26, 2018

7.7K

Related Experiment Videos

Last Updated: Sep 26, 2025

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management
05:35

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management

Published on: January 19, 2024

954
An Application for Pairing with Wearable Devices to Monitor Personal Health Status
06:58

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

Published on: February 3, 2022

3.0K
Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
07:51

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Published on: September 26, 2018

7.7K

Area of Science:

  • Design Science
  • Convergence Research
  • Health Informatics

Background:

  • Value-based modeling, a business tool, is adapted for mobile health (mHealth) app design.
  • Combines engineering and medicine through convergence research.
  • Builds upon prior work in process-based and information-based modeling for case management systems.

Purpose of the Study:

  • To improve mobile health app design using value-based modeling.
  • To enhance access to health services through innovative app design.
  • To identify and address limitations in healthcare service delivery value exchanges.

Main Methods:

  • Applied value-based modeling to the design of a mobile health application system.
  • Focused on the exchange of economic value, including service outcomes, between actors.
  • Analyzed how value objects are offered, accepted, and exchanged within a network.

Main Results:

  • Value-based modeling highlighted the critical role of effective value exchanges in healthcare delivery.
  • Identified limitations in the net value of services due to time, cost, and responsibility constraints.

Conclusions:

  • Proposed an automated decision-making subsystem for mHealth apps.
  • This subsystem leverages machine learning to recommend care plan micro-adjustments.
  • Aims to provide agile patient care responses and improve access to health services.