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BayesSurveillance  

Bayesian Surveillance Methods for Healthcare Performance Monitoring
View on CRAN: Click here


Download and install BayesSurveillance package within the R console
Install from CRAN:
install.packages("BayesSurveillance")

Install from Github:
library("remotes")
install_github("cran/BayesSurveillance")

Install by package version:
library("remotes")
install_version("BayesSurveillance", "0.0.2")



Attach the package and use:
library("BayesSurveillance")
Maintained by
Muhammad Zahir Khan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-11
Latest Update: 2026-07-11
Description:
Provides Bayesian surveillance methods for prospective monitoring of healthcare performance, patient safety, and clinical quality indicators. The package implements beta-binomial monitoring for binary outcomes, gamma-Poisson monitoring for count outcomes, posterior predictive alert probabilities, Bayesian early-warning signal detection, risk-adjusted surveillance, simulation tools, decision-support methods, and graphical summaries. These methods support continuous performance monitoring and timely detection of adverse trends in healthcare systems. The methodology is motivated by established risk-adjusted monitoring, sequential surveillance, and healthcare quality-improvement frameworks <doi:10.1093/biostatistics/1.4.441>, <doi:10.1002/sim.1546>, <doi:10.1136/bmjqs.2008.031831>, and <doi:10.1136/bmjqs-2016-005526>.
How to cite:
Muhammad Zahir Khan (2026). BayesSurveillance: Bayesian Surveillance Methods for Healthcare Performance Monitoring. R package version 0.0.2, https://cran.r-project.org/web/packages/BayesSurveillance. Accessed 24 Oct. 2026.
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