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Agile research to complement agile development: a proposal for an mHealth research lifecycle
Kumanan Wilson1,2, Cameron Bell2, Lindsay Wilson2
11Faculty of Medicine, University of Ottawa, Ottawa, Canada.
NPJ Digital Medicine
|July 16, 2019
Summary
Academic evaluations for mobile health (mHealth) lag behind its adoption. This study proposes agile research methods to align with digital health development, ensuring safety and efficacy for evidence-based digital products.
Area of Science:
- Digital Health
- Health Services Research
- Clinical Research Methodology
Background:
- Mobile health (mHealth) adoption outpaces academic evaluation.
- Traditional pharmaceutical evaluation methods do not suit agile mHealth development.
- A gap exists between mHealth product development and rigorous scientific validation.
Purpose of the Study:
- To present an agile research model for evaluating mHealth technologies.
- To bridge the gap between agile mHealth development and clinical research.
- To ensure the safety, efficacy, and sustainability of digital health applications.
Main Methods:
- Developed a four-phase mHealth research model: Project Identification, Phase 1 (UX Design, Development, Alpha Testing), Phase 2 (Beta Testing), Phase 3 (Clinical Trial Evaluation), and Phase 4 (Post-Market Surveillance).
- Integrated agile principles into clinical evaluation phases.
- Adapted traditional research methods to accommodate iterative digital product development.
Main Results:
- The proposed model maintains rigor in safety and efficacy assessment.
- It accommodates the rapid, iterative nature of digital health product development.
- The phased approach provides a structured yet flexible evaluation framework.
Conclusions:
- Agile research methods are essential for effective mHealth evaluation.
- The described model supports the development of evidence-based, sustainable digital health products.
- This approach facilitates timely and robust validation of mHealth technologies.
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