paper.md
In meyera/riskscorer: An R Package for Calculating Surgical Risk Scores
title: 'riskscorer - automating risk calculation in clinical practice and research'
tags:
- clinical risk scores
- medicine
- web service
authors:
- name: Alexander Meyer
orcid: 0000-0002-6944-2478
affiliation: German Heart Institute Berlin; German Centre for Cardiovascular Research
- name: Jörg Kempfert
affiliation: German Heart Institute Berlin
- name: Volkmar Falk
affiliation: German Heart Institute Berlin; German Centre for Cardiovascular Research
date: 12 May 2016
bibliography: paper.bib
Summary
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, these are mostly web based user interfaces and therefore not suitable for either batch processing in research or integration into the hospital's clinical information system infrastructure.
We developed the riskscorer package for easy and automatic clinical risk score calculation with the following features in mind:
- simple programming interface
- flexible handling of differing data codings
- individual patient risk calculation as well as the possibility of batch processing
- an HTTP web-service interface based on the plumber [@plumber] package for easy integration into an existing clinical information system infrastructure
Currently the two most used risk scores in cardiac surgery are implemented: the STS [@sts] score (http://riskcalc.sts.org/) and the EuroSCORE II [@euroscore]. It can be readily used in research and easily integrated into clinical information systems. The 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.
References
meyera/riskscorer documentation built on May 22, 2019, 7:54 p.m.
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title: 'riskscorer - automating risk calculation in clinical practice and research' tags: - clinical risk scores - medicine - web service authors: - name: Alexander Meyer orcid: 0000-0002-6944-2478 affiliation: German Heart Institute Berlin; German Centre for Cardiovascular Research - name: Jörg Kempfert affiliation: German Heart Institute Berlin - name: Volkmar Falk affiliation: German Heart Institute Berlin; German Centre for Cardiovascular Research date: 12 May 2016 bibliography: paper.bib
Summary
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, these are mostly web based user interfaces and therefore not suitable for either batch processing in research or integration into the hospital's clinical information system infrastructure.
We developed the riskscorer package for easy and automatic clinical risk score calculation with the following features in mind:
- simple programming interface
- flexible handling of differing data codings
- individual patient risk calculation as well as the possibility of batch processing
- an HTTP web-service interface based on the plumber [@plumber] package for easy integration into an existing clinical information system infrastructure
Currently the two most used risk scores in cardiac surgery are implemented: the STS [@sts] score (http://riskcalc.sts.org/) and the EuroSCORE II [@euroscore]. It can be readily used in research and easily integrated into clinical information systems. The 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.
References
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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