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Related Concept Videos

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Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
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Related Experiment Video

Updated: Jun 8, 2025

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Artificial intelligence and informatics in neonatal resuscitation.

Regine M Fortunov1, Erwin Cabacungan2, James S Barry3

  • 1Division of Neonatology, Baylor College of Medicine, Houston, TX, United States.

Seminars in Perinatology
|November 2, 2024
PubMed
Summary

Data-driven precision resuscitation in neonatal intensive care units (NICUs) requires better informatics and artificial intelligence (AI) tools. Improving data capture and AI adoption is crucial for enhancing neonatal care and training.

Keywords:
Artificial IntelligenceAugmented RealityDocumentationIntensive CareLarge Language ModelMachine LearningNeonatal Resuscitation

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Area of Science:

  • Neonatal intensive care
  • Medical informatics
  • Artificial intelligence in healthcare

Background:

  • Neonatal intensive care unit (NICU) resuscitative care is evolving, with increasing reliance on data.
  • Current data underutilization stems from suboptimal data capture, aggregation, and low adoption of AI/analytics tools.

Purpose of the Study:

  • To review the fundamentals and evidence for informatics and artificial intelligence (AI) tools in NICU resuscitative care.
  • To explore applications in training and education for neonatal resuscitation.

Main Methods:

  • Literature review of informatics and AI tools in neonatal resuscitation.
  • Analysis of challenges in data capture, aggregation, and AI adoption.
  • Examination of ethical considerations, including data privacy, bias, and liability.

Main Results:

  • Effective interface design is needed for accurate data capture.
  • Data must be stored and translated into actionable insights using analytics and AI.
  • Key challenges include data privacy, bias, liability, and ethical frameworks.

Conclusions:

  • Informatics and AI hold significant promise for improving neonatal resuscitation.
  • Further research on these applications in the neonatal population is essential.
  • Increased awareness of informatics and AI principles among clinicians is imperative for successful adoption.