Abstract

PIC (Paediatric Intensive Care) is a large paediatric-specific, single-centre, bilingual database comprising information relating to children admitted to critical care units at a large children’s hospital in China. The database is deidentified and includes vital sign measurements, medications, laboratory measurements, fluid balance, diagnostic codes, length of hospital stays, survival data, and more. The data are publicly available after registration, which includes completion of a training course on research with human subjects and signing of a data use agreement mandating responsible handling of the data and adherence to the principle of collaborative research. Although the PIC can be considered an extension of the widely used MIMIC (Medical Information Mart for Intensive Care) database in the field of paediatric critical care, it has many unique characteristics and can support database-based academic and industrial applications such as machine learning algorithms, clinical decision support tools, quality improvement initiatives, and international data sharing.

Highlights

  • Background & SummaryOver the past ten years, electronic health records (EHRs) have rapidly been adopted worldwide

  • In the US, the percentage of non-federal acute care hospitals that have adopted basic EHRs increased from 9.4% in 2008 to 83.8% in 20151

  • The analysis of data contained in EHRs, which contain a large volume of structured and unstructured information regarding patient care, is a promising avenue of research for clinicians and data scientists[3,4,5]

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Summary

Background & Summary

Over the past ten years, electronic health records (EHRs) have rapidly been adopted worldwide. The widely used MIMIC (Medical Information Mart for Intensive Care) critical care database has been developed for more than a decade contains comprehensive clinical data of patients admitted to the Beth Israel Deaconess Medical Centre in Boston, Massachusetts[10,11]. For many years, it has been the only freely accessible database in critical care medicine, and it supports a broad range of research areas, as evidenced by many publications[12,13,14,15].

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