Shi, S;
Pérez-Suárez, D;
Harris, S;
MacCallum, N;
Brealey, D;
Singer, M;
Hetherington, J;
(2017)
Critical care data processing tools.
The Journal of Open Source Software
, 2
(20)
, Article 513. 10.21105/joss.00513.
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Abstract
cleanEHR (Shi et al. 2017) is a data cleaning and wrangling platform which works with the Critical Care Health Informatics Collaborative (CCHIC) database. CCHIC collects and gathers high resolution longitudinal patient record from critical care units at Cambridge, Guys/Kings/St Thomas’, Imperial, Oxford, UCL Hospitals. The increased adoption of high resolution longitudinal EHRs has created novel opportunities for researchers, clinicians and data scientists to access large, enriched patient databases (Harrison, Brady, and Rowan 2004) (Johnson et al. 2016). The purpose of cleanEHR is to enable researchers to answer clinical questions that are important to patients. cleanEHR is a solution to address various data reliability and accessibility problems as well. It provides a platform that enables data manipulation, transformation, reduction, cleaning and validation with a friendly user interface which empowers non-programmers to conduct basic data analysis by simply writing a human-readable configuration file.
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