BayesSurveillance: Bayesian Surveillance Methods for Healthcare Performance
Monitoring
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>.
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