Related Experiment Video
Updated: Feb 7, 2026
05:40
Using an Automated Hirschberg Test App to Evaluate Ocular Alignment
Published on: March 24, 2020
15.8K
A Path to Better-Quality mHealth Apps.
1School of Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, United States.
JMIR Mhealth and Uhealth
|August 1, 2018
Summary
Mobile health (mHealth) apps lack clear quality standards, causing confusion. A Clinical Laboratory Improvement Amendment-like system could ensure safe, high-quality mHealth apps for diagnosis and treatment.
Area of Science:
- Health Informatics
- Medical Device Regulation
- Digital Health
Background:
- The proliferation of mobile health (mHealth) applications has created uncertainty regarding their medical validity and safety.
- A significant gap exists in the regulatory oversight of mHealth apps, with only a fraction subject to US Food and Drug Administration (FDA) regulation.
Purpose of the Study:
- To address the need for quality and safety standards in mHealth apps.
- To propose a regulatory model for mHealth apps based on existing laboratory accreditation systems.
Main Methods:
- Analysis of the current regulatory landscape for mHealth apps.
- Evaluation of the Clinical Laboratory Improvement Amendment (CLIA) as a potential model for mHealth app oversight.
Main Results:
- A small proportion of mHealth apps are currently regulated by the FDA.
- The CLIA system presents a viable framework for establishing quality and safety benchmarks for mHealth applications.
Conclusions:
- Implementing a CLIA-like accreditation system could ensure the reliability of mHealth apps.
- Physicians and consumers should advocate for robust oversight to guarantee safe and effective mHealth tools for diagnosis and treatment.
Related Concept Videos
01:22Mean free path and Mean free time
5.2K
Consider the gas molecules in a cylinder. They move in a random motion as they collide with each other and change speed and direction. The average of all the path lengths between collisions is known as the "mean free path."
5.2K
01:21Path Between Thermodynamics States
4.0K
Consider the two thermodynamic processes involving an ideal gas that are represented by paths AC and ABC in Figure 1:
4.0K
01:10Interference: Path Lengths
2.2K
Consider two sources of sound, that may or may not be in phase, emitting waves at a single frequency, and consider the frequencies to be the same.
Two special sources may be considered when they are in phase. This can be easily achieved by feeding the two sources from the same source. An example would be synchronizing the two speakers by feeding them with the same source, such as the sound waves produced by a tuning fork. This setup ensures that the two sources have the same frequency and are...
Two special sources may be considered when they are in phase. This can be easily achieved by feeding the two sources from the same source. An example would be synchronizing the two speakers by feeding them with the same source, such as the sound waves produced by a tuning fork. This setup ensures that the two sources have the same frequency and are...
2.2K
03:48Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion
31.4K
Although gaseous molecules travel at tremendous speeds (hundreds of meters per second), they collide with other gaseous molecules and travel in many different directions before reaching the desired target. At room temperature, a gaseous molecule will experience billions of collisions per second. The mean free path is the average distance a molecule travels between collisions. The mean free path increases with decreasing pressure; in general, the mean free path for a gaseous molecule will be...
31.4K
01:05Quality Control
2.7K
Quality control is one of the three cyclical quality assurance activities that help keep a system under statistical control. Typical quality control activities include creating quality control charts, conducting proficiency testing, and documenting and archiving results.
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
2.7K
01:19Quality Assurance
2.4K
Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
2.4K