Enterprise AI Analysis
Application research of maternal continuity care based on ISM model
This analysis explores how the Illustrative Structure Model (ISM) can optimize the design and implementation of continuous maternal care applications, leveraging "Internet + Healthcare" for improved outcomes.
Quantifiable Impact & Strategic Imperatives
Implementing intelligent continuous care systems for maternal health can yield significant improvements in patient outcomes and operational efficiency.
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Current Prevalence of Gestational Diabetes (GDM)
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Vaginal Delivery Rate with Continuous GDM Care (vs. 48% without)
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Health Data Monitoring Utilization Rate
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Rural Users Facing Technical Barriers (App Installation)
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
User Needs & Feasibility
ISM Model & Design Principles
User Feedback & Improvement
User Needs & Feasibility in Maternal Continuous Care
Traditional maternal and infant care faces significant challenges including **strained medical resources, uneven professional standards, and difficulties in tracking post-discharge status**. These issues lead to lack of knowledge and increased anxiety for pregnant women.
The "Internet+ nursing" model offers a solution by addressing **duration, space, and economic costs**, improving efficiency, and meeting personalized needs. Key user needs identified span various stages of pregnancy:
- Early Stage: Emphasizes stabilizing pregnancy, emotional support, and regular monitoring due to high abortion risk.
- Medium Stage: Focuses on fetal development, body load management, and personalized diet/exercise plans to mitigate risks like gestational diabetes and hypertension.
- Late Stage: Concentrates on delivery preparation, symptom relief, and psychological counseling for pre-pregnancy anxiety.
The feasibility of a mobile application for continuous care is high due to **mobile app convenience** (multi-user support), **high smartphone coverage** (simple operation for varied education levels), **multi-disciplinary collaboration**, **cost-effectiveness**, and **growing policy and social support** for "Internet + medical care" initiatives.
ISM Model & Application Design Principles
The **Illustrative Structure Model (ISM)** serves as a systematic analytical tool to describe and analyze relationships between elements within a system. For maternal continuity care, 12 factors influencing application demand were identified across external environmental, user, and application design categories.
Through Boolean logic operations and hierarchical analysis, these factors were structured into **6 distinct levels (L1-L6)**, revealing their interdependencies. The analysis highlighted that **attractive appearance (S9) and simple operation (S10)** are direct drivers of user needs, while **functional utility (S3)** is the most fundamental factor.
Core design recommendations derived from this model emphasize:
- User-centricity: Prioritizing personalized customization (S12) and fostering interactive communication (S6) and health monitoring (S5).
- Simplicity: Ensuring the interface is intuitive and operations are straightforward to accommodate users with diverse educational backgrounds.
- Integration: Collaborating with other medical service applications to create a comprehensive and seamless user experience, promoting the broader "Internet + Health-care" ecosystem.
The application design framework follows a five-layer model (strategic, scope, structure, framework, and presentation), ensuring a holistic approach from conceptualization to interface aesthetics, with a consistent focus on user needs and data integration.
User Feedback & Continuous Improvement
User feedback from 200 pregnant women revealed critical insights into the continuous care application. While the **interface friendliness scored 4.2 out of 5**, users reported **complex icons**. Privacy protection scored 3.8, with concerns about **third-party data access**. Ease of operation, scoring 3.6, was affected by **slow video loading and high data traffic consumption**.
Functional usage showed that **health data monitoring had a high utilization rate of 78%**, but the **check-in rate for rural users was low**. **AI diet recommendations** were utilized by 65%, yet users found recommended ingredients **difficult to obtain**. **Online doctor consultations** had a 45% utilization, suffering from **long response delays during peak hours**.
Key pain points include a **20% rate of rural users unable to install the app due to insufficient phone memory** and a sharp drop in **postpartum module usage (only 12% after one month)**.
Directions for improvement focus on **enhanced data privacy and security** through encryption, decentralized storage, and zero-knowledge proof technology. For resource-scarce areas, **intermediate strategies like community education and localized technical tools** (text messages, radio broadcasts) are crucial. Ultimately, policy changes to include "Internet + nursing services" in **medical insurance** and fostering a comprehensive maternal and infant health ecosystem are vital for long-term success.
65%
Increase in vaginal delivery rate for GDM pregnant women with continuous care (vs. 48% without).
ISM Model Application Requirements Analysis Flow
Identify 12 Influencing Factors (External, User, App Design)
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Collect User Needs via Questionnaires & Interviews
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Determine Factor Relationships & Construct Adjacency Matrix
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Draw Directed Graph & Merge Strongly Connected Elements (S5+S6)
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Perform Hierarchical Analysis to Determine Levels (L1-L6)
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Derive Core Needs & Application Design Priorities
| Principle | Description | Impact |
|---|---|---|
| User-Centered Customization | Personalized diets, exercise plans, and psychological counseling based on individual needs. |
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| Multi-Disciplinary Integration | Collaboration with obstetrics, nutrition, and psychology departments; online platforms for professional teams. |
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| Ease of Use & Accessibility | Simple, clear interface and mobile app convenience for varied education levels, remote monitoring. |
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| Data Privacy & Security | Enhanced health data encryption, decentralized storage, end-to-end encryption, access controls. |
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Building the "Internet + Healthcare" Ecosystem for Maternal Care
Problem: Traditional maternal care often lacks continuity, accessibility, and personalized support, particularly in the critical postpartum period. This leads to anxiety, insufficient knowledge, and inconsistent health management for pregnant and postpartum women.
Solution: By leveraging 'Internet + Healthcare' through smart applications, AI algorithms, and big data, a comprehensive, continuous care service system can be established. This system links hospitals, families, and communities, offering real-time monitoring (wearables), personalized interventions (diet, exercise), emergency response, and community resource integration.
Outcome: The approach improves the continuity and integrity of maternal care, enhances safety and satisfaction, and reduces anxiety. It optimizes medical resource allocation, addresses issues in resource-scarce areas, and promotes the inclusion of 'Internet + nursing services' in medical insurance, fostering a holistic maternal and infant health ecosystem.
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Your AI Implementation Roadmap
A structured approach ensures successful integration and maximum impact for your enterprise AI initiatives.
Phase 1: Discovery & Strategy
Conduct a deep dive into existing workflows, identify pain points, and define clear objectives for AI integration. Develop a tailored strategy aligned with business goals, leveraging insights from the ISM model to prioritize user needs and application design factors.
Phase 2: Solution Design & Prototyping
Based on the strategy, design the core architecture and user experience of the continuous care application. Create low-fidelity and high-fidelity prototypes, incorporating personalized customization, simple operation, and multi-disciplinary integration principles.
Phase 3: Development & Integration
Build the AI-driven application, focusing on robust data connectivity, secure health data encryption, and cross-platform information sharing. Integrate wearable device monitoring and AI algorithms for real-time analysis and personalized interventions.
Phase 4: Pilot & Feedback Loop
Launch a pilot program with a targeted user group, collecting comprehensive feedback on interface friendliness, privacy, and ease of use. Address technical barriers and refine features based on user input, particularly for areas like postpartum care and rural accessibility.
Phase 5: Scaling & Ecosystem Expansion
Roll out the application across a wider user base, continuously optimizing performance and security. Explore partnerships for community participation and resource integration, fostering a holistic "Internet + Healthcare" ecosystem for maternal and infant well-being.
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