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Development of Educational Materials for an Application to Predict Precipitate Delivery
1Doctoral Course, Graduate school of Applied Informatics, University of Hyogo.
Studies in Health Technology and Informatics
|August 8, 2025
Summary
This study developed an iPhone application to help midwifery and nursing students predict delivery times. User feedback was positive, indicating potential for improved childbirth safety and training.
Area of Science:
- Medical Education
- Obstetrics
- Digital Health
Background:
- Current diagnostic guidelines are lacking for predicting precipitate and short-time delivery.
- Accurate prediction of delivery time is a critical skill for midwifery students.
- There is a need for accessible educational tools for healthcare trainees.
Purpose of the Study:
- To develop educational materials for midwifery and nursing students to predict precipitate and short-time delivery.
- To create an iPhone application to aid in delivery time prediction.
- To enhance diagnostic skills for safer childbirth practices.
Main Methods:
- Development of an iPhone application using X-Code version 11.
- User evaluation experiment involving midwifery and nursing students.
- Incorporation of student feedback for future application versions.
Main Results:
- Positive user response from midwifery and nursing students.
- Expressed desire among students to utilize the application in training.
- Identification of key features for future development, such as labor-promoting/delaying factors.
Conclusions:
- The developed application shows promise as an educational tool for predicting delivery time.
- The application has the potential to contribute to improved prediction accuracy.
- Implementation of this tool may lead to safer childbirth practices in midwifery.
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