Applying artificial intelligence and digital health technologies, Viet Nam

Area of Science:

• Digital Health
• Medical Devices
• Global Health

Background:

• Directly applying digital health technologies from high-income countries to low- and middle-income countries (LMICs) is often inappropriate due to data, implementation, and regulatory challenges.
• LMICs require distinct strategies for digital health technology development and deployment.
• Vietnam's healthcare system is in the early stages of digital health implementation.

Purpose of the Study:

• To develop and test a wearable device for individual patient monitoring.
• To create a clinical assessment tool for improved dengue disease management.
• To adapt digital health solutions to the specific context of Vietnam.

Main Methods:

• Co-design and iterative development of a wearable sensor with local healthcare staff and patients.
• Development of a clinical assessment tool using existing datasets, workflow mapping, stakeholder interviews, and workshops.
• Usability testing of the wearable sensor and assessment tool interface with end-users.

Main Results:

• Wearable sensor design modifications were made based on patient comfort feedback.
• The assessment tool's user interface was developed prioritizing core functionalities identified by hospital staff.
• Iterative usability testing by clinical staff informed the refinement of the assessment tool.

Conclusions:

• Successful digital health technology development in LMICs necessitates interoperable data management plans.
• Engaging end-users and understanding the local context and regulatory environment are critical for successful implementation.
• Context-specific co-design and implementation studies are essential for digital health adoption in resource-limited settings.