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Wednesday, June 29 • 11:45am - 11:50am
Automated risk calculation in clinical practice and research - the riskscorer package

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Clinical risk scores are important tools in therapeutic decision making as well as for analysis and adjustments in clinical research. Often risk scores are published without an easily accessible interface for calculation. And if tools exist, mostly these are web based user interfaces and therefor not suitable for either batch processing in research or integration into the hospital's clinical information system infrastructure. nnWe developed the _riskscorer_ package for easy and automatic clinical risk score calculation with the following features in mind:nn* simple programming interfacen* extensibilityn* flexible handling of differing data codingsn* individual patient risk calculation as well as the possibility of batch processingn* an HTTP web-service interface based on the plumber (https://github.com/trestletech/plumber) package for easy integration into an existing clinical information system infrastructurennCurrently three surgical risk scores are implemented: STS score (http://riskcalc.sts.org/), EuroScore I and EuroScore II (http://www.euroscore.org/). It is already used in our research and integration into our clinical information system is planned. The riskscorer package is under continues development and we have released the source code under the MIT license on the GitHub platform (https://github.com/meyera/riskscorer).nnThe integration of automated risk score calculation into the clinical workflow and into reproducible and efficient data analysis pipelines in research has the potential to improve patient outcomes.

avatar for Joseph Rickert

Joseph Rickert

Program Manager, Microsoft
Joseph is a Program Manager at Microsoft having come to Microsoft with the acquisition of Revolution Analytics. He is a data scientist and R language evangelist passionate about analyzing data and teaching people about R. He is a regular contributor to the Revolutions blog and an... Read More →


Alexander Meyer

Physician Scientist, Cardiac Surgeon, German Heart Institute Berlin
Big Data Healthcare Analytics Deep Learning, Machine Learning Graph Databases and R NLP Shiny, purrr, dplyr

Wednesday June 29, 2016 11:45am - 11:50am PDT