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Neonatal sepsis registry: Time to antibiotic dataset
Svetlana Ostapenko1, Melissa Schmatz2, Lakshmi Srinivasan2,3
1Department of Biomedical & Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Data in Brief
|December 5, 2019
Summary
This study details extracting electronic health record (EHR) data to analyze antibiotic administration timeliness in infants. The methods and de-identified data support research on neonatal sepsis care.
Area of Science:
- Medical Informatics
- Neonatal Research
- Clinical Data Analysis
Background:
- Timely antibiotic administration is critical for treating neonatal sepsis.
- Electronic Health Records (EHR) contain valuable data for clinical research.
- Extracting and formatting EHR data presents unique challenges for research.
Purpose of the Study:
- To describe a method for extracting EHR data for sepsis research.
- To create a de-identified dataset suitable for analyzing antibiotic administration timeliness.
- To provide R programming scripts for data processing and analysis.
Main Methods:
- Extraction of de-identified EHR data from neonatal intensive care unit (NICU) patients.
- Data formatting to support analysis of antibiotic administration timing.
- Development of R programming scripts for data manipulation and illustration.
Main Results:
- A structured, de-identified dataset was created from EHRs of infants evaluated for sepsis.
- The dataset facilitates analysis of the timeliness of antibiotic administration.
- Illustrative R scripts for data creation and utilization are available.
Conclusions:
- The described data extraction process enables research into antibiotic administration timeliness in neonatal sepsis.
- The provided dataset and scripts support further investigation and collaboration.
- This work aids in optimizing care for critically ill infants.