PIC, a paediatric-specific intensive care database

Xian Zeng1,2, Gang Yu1, Yang Lu2

  • 1The Children's Hospital of Zhejiang University School of Medicine and National Clinical Research Center for Child Health, Hangzhou, China.

Scientific Data
|January 15, 2020
PubMed

Insights

The Paediatric Intensive Care (PIC) database offers valuable deidentified data on pediatric critical care patients. This comprehensive resource supports research, machine learning, and clinical decision-making in pediatric intensive care.

Area of Science:

  • Pediatric Critical Care Medicine
  • Health Informatics
  • Clinical Data Management

Background:

  • The Paediatric Intensive Care (PIC) database is a significant bilingual, single-center resource from a Chinese children's hospital.
  • It contains deidentified data for children admitted to critical care units, encompassing vital signs, medications, lab results, and more.
  • PIC serves as a pediatric critical care extension to the widely used MIMIC database.

Purpose of the Study:

  • To introduce the Paediatric Intensive Care (PIC) database and its comprehensive data.
  • To highlight the database's potential for academic and industrial applications.
  • To promote responsible data sharing and collaborative research in pediatric critical care.

Main Methods:

  • The PIC database is deidentified and includes extensive clinical information.
  • Data access is publicly available upon registration, completion of human subjects research training, and signing a data use agreement.
  • The database supports various applications including machine learning and clinical decision support.

Main Results:

  • The PIC database provides a rich source of deidentified pediatric critical care data.
  • It is designed for diverse applications such as machine learning algorithms and quality improvement initiatives.
  • The data facilitate international collaboration and advanced research in the field.

Conclusions:

  • The PIC database is a valuable, publicly accessible resource for pediatric critical care research.
  • Its unique characteristics support advanced applications and international data sharing.
  • PIC promotes responsible data use and collaborative research endeavors.

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