Consent-driven, semi-automated data collection during birth and newborn resuscitation: Insights from the NewbornTime study
These videos have been matched automatically. Contact us if they are not relevant.
These videos have been matched automatically. Contact us if they are not relevant.
View abstract on PubMed
Summary
This summary is machine-generated.This study introduces an automated AI video system for collecting birth and newborn resuscitation data. This technology offers objective, consistent, and private data for quality improvement and research.
Area Of Science
- Medical Technology
- Artificial Intelligence
- Neonatal Care
Background
- Manual data collection for birth and newborn resuscitation lacks consistency, objectivity, and scalability.
- Existing methods raise privacy concerns and may not support quality improvement initiatives.
- Objective and consistent data are crucial for research and enhancing neonatal care.
Purpose Of The Study
- To describe the implementation of an automated data collection system for the NewbornTime project.
- To develop an AI system for generating accurate timelines of birth and resuscitation events.
- To provide objective and consistent data for quality improvement and research in neonatal care.
Main Methods
- Utilized thermal sensors in labor rooms and thermal/visible light cameras in resuscitation rooms.
- Implemented a data collection process with maternal consent and opt-out options for healthcare providers.
- Designed the system to minimize interference with clinical care and provider burden.
Main Results
- Collected 1012 thermal videos of birth and 274 visible light videos of newborn stabilization/resuscitation.
- Data collection occurred at Stavanger University Hospital from November 2021 to June 2025.
- The system facilitates automated data collection and AI video processing.
Conclusions
- Automated data collection and AI video processing can enhance documentation and quality improvement in neonatal care.
- This approach offers consistent, objective data for research on treatment sequences and timing during acute events.
- The system improves participant privacy and reduces the burden of data capture.
These videos have been matched automatically. Contact us if they are not relevant.
These videos have been matched automatically. Contact us if they are not relevant.
Related Concept Videos
Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and...
The two sources for collecting information are primary and secondary. After gathering information, interpretation and validation help to complete the data. The purpose of assessment is to establish data with the initial information, to interpret data about the patient's perceived needs and health problems, and to respond to these problems identified.
The nurse collects all aspects of the patient's health in the initial assessment, establishing priorities for ongoing focused assessments...