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COMPLETED
NCT07720531
NA

Generative AI-Powered Intrapartum Clinical Decision Support Among Healthcare Providers

Sponsor: Delta University for Science and Technology

View on ClinicalTrials.gov

Summary

Pregnancy and childbirth are uniquely important events in women's lives because they are accompanied by major physical, emotional, and psychological changes. Maternal satisfaction, emotional well-being, and perceptions of childbirth are strongly influenced by the quality of labor management. A woman's childbirth experience is shaped by multiple factors, including communication, autonomy, and active participation in the decision-making process. These factors are widely recognized as important indicators of the quality of maternity care. \[1\] Recent demographic changes and global population growth have placed increasing demands on healthcare systems, particularly maternal health services. High birth rates in some regions, combined with shortages of trained healthcare professionals, have created a need for scalable, adaptable, and innovative models of care. In response to these challenges, digital health technologies have emerged as promising tools to enhance the quality of maternity care and support both healthcare providers and pregnant women. \[2\]

Official title: Generative AI-Powered Intrapartum Clinical Decision Support and Healthcare Providers' Decision-Making Speed, Diagnostic Accuracy, Satisfaction, and Clinical Experience: A Quasi-Experimental Study

Key Details

Gender

All

Age Range

Any - Any

Study Type

INTERVENTIONAL

Enrollment

427

Start Date

2026-05-06

Completion Date

2026-10-29

Last Updated

2026-11-02

Healthy Volunteers

Yes

Conditions

Interventions

OTHER

Generative AI-Powered Intrapartum Chatbot

Smart Normal Labor is a mobile application incorporating a generative AI-powered chatbot for healthcare providers. It provides interactive clinical decision support using information entered by providers about labor progress and clinical findings. Its intended functions include supporting interpretation of clinical information and formulation of a management plan.

Locations (1)

Basma wageah Basma

Al Mansurah, Dakahlia Governorate, Egypt