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. 2020 Jan 13;7(1):14.
doi: 10.1038/s41597-020-0355-4.

PIC, a paediatric-specific intensive care database

Affiliations

PIC, a paediatric-specific intensive care database

Xian Zeng et al. Sci Data. .

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.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Overview of the PIC database.
Fig. 2
Fig. 2
Age distributions of the MIMIC-III and the PIC databases. (a) MIMIC-III database. (b) PIC database.
Fig. 3
Fig. 3
Visualization of the PIC data. (a) The timeline of a patient during the hospital stay. (b) Synchronized timelines of different data types.

References

    1. Henry, J., Pylypchuk, Y., Searcy, T. & Patel, V. Adoption of Electronic Health Record Systems among U.S. Non-Federal Acute Care Hospitals: 20082015. ONC Data Brief, no. 35. (The Office of the National Coordinator for Health Information Technology, 2016).
    1. Shu T, et al. EHR adoption across China’s tertiary hospitals: A cross-sectional observational study. Int. J. Med. Inform. 2014;83:113–21. doi: 10.1016/j.ijmedinf.2013.08.008. - DOI - PubMed
    1. MIT Critical Data. Secondary Analysis of Electronic Health Records. Secondary Analysis of Electronic Health Records (Springer International Publishing, 2016). - PubMed
    1. Sun H, et al. Semantic processing of EHR data for clinical research. J. Biomed. Inform. 2015;58:247–259. doi: 10.1016/j.jbi.2015.10.009. - DOI - PubMed
    1. Finlayson SG, LePendu P, Shah NH. Building the graph of medicine from millions of clinical narratives. Sci. Data. 2014;1:140032. doi: 10.1038/sdata.2014.32. - DOI - PMC - PubMed

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