Progressive Wellness App Using Segmented Task Nodes
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Solution Overview
Problem
Pregnant women often face overwhelming health advice and may forget or underestimate the importance of recommended health actions, leading to potential health complications such as hypertension, miscarriages, and depression, which can be managed or prevented with responsible actions.
Innovation Solution
A wellness app that provides a progressive support scheme with nodes representing tasks and information tailored to the user's health condition, allowing progression based on time, health complications, and user inputs, offering virtual and non-virtual rewards for task completion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If comprehensive health advice is provided to expecting mothers, then the quality of health information is improved, but the complexity of information management increases
Solution Approach 1:
The health information is segmented into discrete tasks organized in a progression scheme with multiple nodes. Each node represents a specific health task or information point, allowing the system to manage comprehensive health advice through modular, organized units rather than overwhelming continuous information streams.
Solution Approach 2:
The progression scheme dynamically adapts to user progress through pregnancy stages and task completion. The system transitions users between nodes based on their current state, providing relevant health information at appropriate times rather than presenting all information simultaneously, thereby reducing management complexity while maintaining comprehensiveness.
2Reliability
If multiple health tasks are recommended to expecting mothers, then the completeness of wellness promotion is improved, but the ease of task completion deteriorates
Solution Approach 1:
Multiple health tasks are divided into smaller, manageable units distributed across different nodes in the progression scheme. Users complete one task at a time rather than facing a overwhelming list of all tasks simultaneously, making the overall comprehensive program easier to execute while maintaining completeness.
Solution Approach 2:
The system prepares and presents tasks in advance based on the user's current progression stage. Tasks are pre-organized into a logical sequence, so users are always presented with the next appropriate task rather than having to manage all tasks at once, improving ease of completion while ensuring comprehensive coverage.
3Reliability
If personalized health tasks are provided based on user characteristics, then the effectiveness of wellness promotion is improved, but the complexity of task selection increases
Solution Approach 1:
The task selection system dynamically adapts to user characteristics and progression stage. The progression tracker monitors user state and automatically determines the appropriate next node and task, eliminating the need for complex manual task selection while maintaining personalization and effectiveness.
Solution Approach 2:
The system incorporates feedback mechanisms where user responses to tasks and progression through nodes inform subsequent task selections. This feedback loop enables personalized task recommendation based on actual user behavior and progress, achieving effectiveness without requiring complex upfront task selection logic.
Data Source
AI summary
In some embodiments, a scheme engine selects a progressive support scheme that promotes wellness by encouraging users to responsibly respond to a health condition. The scheme includes a set of nodes. Each node represents a progression of the health condition being experienced by a user. A node of the set of nodes is associated with a set of tasks, each promoting wellness given a presence of the condition. A progression tracker identifies, for the user, the node as corresponding to a current progression of the condition. A task engine assigns a weight to a task characteristic based on an input received from the user and selects a task from amongst the set of tasks associated with the identified node. The selection of the task is based on the weight assigned to the task characteristic. The task engine further presents the task to the user.