A Multifunctional, Low Cost and Sustainable Neonatal Database System.

Area of Science:

• Neonatal intensive care
• Clinical informatics
• Health data management

Background:

• Reliable, locally relevant data is crucial for neonatal intensive care unit (NICU) clinical performance improvement.
• Existing neonatal databases often lack relevance or reliability, especially in paper-based NICUs.
• Electronic records in NICUs may suffer from data inaccuracy and limited customizability, hindering quality improvement and research.

Purpose of the Study:

• To describe a simple, neonatologist-centered data system for NICUs.
• To highlight its 30-year successful maintenance with minimal resources.
• To showcase its multi-purpose utility including quality improvement, administration, research, and education.

Main Methods:

• A hybrid system combining customized paper and electronic components.
• Attending physician-based diagnosis recording integrated into clinical workflows.
• Multilevel data accuracy and validation checks with periodic reporting on data quality and NICU performance.

Main Results:

• The described data system has been reliably maintained for three decades.
• Examples of data validation methods and observed trends over 30 years are provided.
• The system demonstrates adaptability for both high- and limited-resource NICU environments.

Conclusions:

• This reliable and easily maintained database can be developed from paper or enhance existing electronic medical records.
• Essential elements for successful implementation are discussed.
• The system is adaptable and suitable for diverse NICU settings, supporting continuous quality improvement.