Product Managers and Technical Architects
Initial product discovery and technical scoping for a health-tech startup
Use cases
About
The AI Health.SG App mind map template provides a comprehensive technical and functional architecture for a modern healthcare application, encompassing 83 distinct nodes. This AI Health.SG App template serves as a strategic cheat sheet for developers and product managers, detailing the integration of advanced diagnostic features like Blood pressure video and Blood oxygenation. The structure is divided into critical development tiers, including a robust Client back-end powered by an AWS Backend and a user-centric Mobile Client. It specifically outlines risk assessment capabilities for chronic conditions such as CVD, CKD, Diabetes, and Hypertension. By mapping out the relationship between raw data processing, such as Raw PPG and Filter PPG, and user-facing interfaces like the Family page and Health page, this AI Health.SG App mind map ensures all stakeholders align on technical requirements and feature prioritization from MVP to low-priority phases.
Terms and ConditionsWhen to use this template
Agile Development Teams and Scrum Masters
Sprint planning to categorize features by development urgency
CTOs and Founders
Presenting the application architecture to healthcare stakeholders or investors
How to use this template
Step 1
Import the template
Download and open the .xmind file using Xmind desktop or the web version to view the full 83-node architecture.
Step 2
Assign development priorities
Move specific feature nodes into the 'High priority' or 'Low priority (not MVP)' branches based on your current roadmap.
Step 3
Define backend logic
Expand the 'Client back-end' section to add specific API endpoints or data validation rules for the 'User data' and 'Risk models' branches.
Frequently asked questions
The template includes detailed nodes for backend data processing, specifically focusing on facial image analysis, blood pressure video metrics, and PPG data filtering. It also maps out the AWS Backend infrastructure and specific risk models for cardiovascular and metabolic health monitoring.
The mind map categorizes features into High, Middle, and Low priority branches. This allows teams to distinguish between core MVP requirements and secondary features, ensuring that resources are allocated effectively during the development of the AI Health.SG App.
Yes, the template is fully editable in Xmind. You can expand the 'Risk models' branch to include additional health conditions or modify the existing nodes like 'CKD' or 'Hypertension' to reflect specific clinical parameters or updated medical guidelines.
Yes, the 'Mobile Client' section provides a structural overview of the app's navigation, including sign-in flows and the primary menu bar components like the 'Health page' and 'Family page' for easy UI/UX planning.
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