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Human Factors-Based Mobile Application Design for Global Health
11 University of Utah, Salt Lake City, UT, USA.
Surgical Innovation
|November 23, 2018
Summary
Human factors principles optimize mobile health (m-health) app design for global healthcare. An iterative algorithm ensures safe, usable, and effective m-health solutions, enhancing patient care worldwide.
Area of Science:
- Digital Health
- Human-Computer Interaction
- Global Health
Background:
- Smartphones and applications are globally prevalent, transforming healthcare delivery.
- Mobile health (m-health) platforms offer low-cost solutions in developed and emerging markets.
- Human factors optimization is crucial for safe and sustainable m-health adoption.
Purpose of the Study:
- To identify best practices for m-health software design using human factors and user-centered design.
- To develop an algorithm for creating safe, usable, and effective m-health applications.
Main Methods:
- Extensive literature review using PubMed and Google.
- Identification of best approaches for m-health software design.
- Development of a healthcare app development algorithm based on extracted data.
Main Results:
- A best-practice algorithm for designing global healthcare mobile apps was developed.
- The algorithm employs an iterative 4-stage process.
- The process integrates human factors and user-centered design.
Conclusions:
- Mobile technologies can provide effective, low-cost healthcare, especially in developing regions.
- Applying human factors design ensures safe and effective global health apps.
- Tailoring technologies to end-user requirements is key for successful implementation.
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