Joaquim Pinheiro
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Articles (10)
Continuous improvement in the clinical performance of neonatal intensive care units (NICU) depends on the use of locally relevant, reliable data. However, neonatal databases with these characteristics are typically unavailable in NICUs using paper-based records, while in those using electronic records, the inaccuracy of data and the inability to customize commercial data systems limit their usability for quality improvement or research purposes. We describe the characteristics and uses of a simple, neonatologist-centered data system that has been successfully maintained for 30 years, with minimal resources and serving multiple purposes, including quality improvement, administrative, research support and educational functions. Structurally, our system comprises customized paper and electronic components, while key functional aspects include the attending-based recording of diagnoses, integration into clinical workflows, multilevel data accuracy and validation checks, and periodic reporting on both data quality and NICU performance results. We provide examples of data validation methods and trends observed over three decades, and discuss essential elements for the successful implementation of this system. This database is reliable and easily maintained; it can be developed from simple paper-based forms or used to supplement the functionality and end-user customizability of existing electronic medical records. This system should be readily adaptable to NICUs in either high- or limited-resource environments.
Year:
2024
Year:
2024
Year:
2023
Year:
2022
Year:
2022
Year:
2022
Year:
2022
Year:
2022
Year:
2020
Year:
2020
Collaborators (4)
Gina Geis
Attending Neonatologist, Associate Professor
Albany Medical College
Michael J. Horgan
Albany Medical College
Srinivasan Mani
Clinical Assistant Professor
University of Toledo
Munmun Rawat
Research Assistant Professor, Attending Neonatologist
University at Buffalo
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