Opportunity
The project explored how a lower-cost, accessible fetal-monitoring workflow could support care teams in settings with limited medical infrastructure.
Challenge
- Access to Care: Scarcity of professional medical expertise for interpreting fetal health indicators.
- Cost Barriers: High expenses associated with traditional fetal monitoring equipment.
- Usability Issues: Need for intuitive technology accessible to users with diverse literacy and technical skill levels.
Solution
1D.works developed an innovative, integrated mobile application designed for low-resource environments:
- Real-Time Processing: Analyzes fetal heart rate (FHR) data captured by affordable monitoring devices.
- AI-Driven Insights: Uses machine-learning algorithms to flag FHR patterns and fetal-positioning estimates for review.
- Intuitive Interface: Presents data clearly and simply, accommodating users with varying levels of literacy and technical familiarity.
- Remote Consultation: Facilitates immediate, remote consultations with healthcare providers when concerning patterns are detected.
Prototype Capabilities
- Lower-Cost Data Capture: Connected compatible monitoring hardware to a mobile analysis workflow.
- Pattern Flagging: Surfaced potentially concerning patterns for review rather than making an autonomous diagnosis.
- Remote Consultation: Provided a route for sharing relevant monitoring information with a healthcare professional.
- Accessible Interface: Designed the interface for users with varied literacy and technical familiarity.
The prototype demonstrates a possible monitoring and consultation workflow. It does not establish clinical accuracy, safety, regulatory approval, or improved health outcomes; those claims require appropriate clinical validation.
Explore our AI-First Product Development service. Read: The Promise of AI-Assisted Health Monitoring.