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.