Region-Specific Smart Integrated Management Service for Pre- and Post-Pregnancy

Overview

Pregnancy and childbirth are processes that significantly impact women's health, making proper management essential. However, existing pregnancy and childbirth management services focus heavily on providing standardized information, while customized services linked to individual health conditions or regional medical and welfare services remain insufficient. This project utilizes AI technology to analyze individual health data and provides customized pre- and post-pregnancy management solutions reflecting regional medical and welfare services. This enables support for safer and more systematic pregnancy and childbirth management.

Project description

This service provides customized pre- and post-pregnancy health management solutions tailored to the user's health status and regional characteristics. It delivers real-time information, analyzes risk factors, and supports appropriate responses.

• Development of AI-based Pregnancy Probability Prediction and Health Analysis Model
  • Predicts pregnancy probability based on user health data and analyzes fertility and health status. This enables the provision of personalized health management guidance and suggests lifestyle improvement plans for users with low pregnancy probability.
• Regional Customized Medical and Welfare Service Integration
  • Based on the user's residential area, it provides information on nearby hospitals, public health centers, and postpartum care centers, while also guiding users to available support programs and welfare services in that region. This supports more systematic pregnancy and childbirth management.
• Real-time Data Analysis and Monitoring System:
  • Analyzes user-input data in real time, monitors changes in health status, and recommends appropriate actions. Additionally, provides notifications recommending visits to medical institutions when specific health abnormalities are detected.
• AI-Based Smart Chatbot and Counseling Functionality:
  • Utilizes AI chatbots to provide Q&A on pregnancy and childbirth, automatically recommending personalized health guidance. This enables users to easily access necessary information before and after pregnancy and respond promptly.

Key technological features

• AI-Based Pregnancy Prediction and Health Analysis Model: Analyzes user data to predict fertility and health status
• Region-Specific Medical and Welfare Information Provision: Providing customized information linked to medical and welfare services in the user’s residential area
• Real-time Data Analysis and Monitoring System: Analyzes changes in the user’s health status in real time to provide personalized guidance
• Smart Chatbot and AI Consultation Features: AI consultation features that address pregnancy and childbirth-related questions

Expected outcomes

This system enables more systematic health management before and after pregnancy, ensuring the health and safety of expectant mothers by linking with regional medical and welfare services. Additionally, real-time health monitoring and AI consultation capabilities allow for faster and more effective responses.

Before (as-is)
Cost support focused on treatment, such as hospital expense assistance after infertility diagnosis and counseling for infertility-related depression

After (to-be)
Enhance pregnancy efficiency through early prediction and intervention for infertility, preemptively addressing emotional difficulties during the infertility process, and efficient linkage throughout the pregnancy and childbirth journey

Launch year: 2024

Attribution

Case study courtesy of the National Information Society Agency, Republic of Korea, Apolitical's Content Partner. Sourced from Use Cases of Public AI Service, Vol.1,  https://eng.nia.or.kr/site/nia_eng/ex/bbs/View.do?cbIdx=31975&bcIdx=28997&parentSeq=29002