Cyber-Resilient Bayesian Healthcare Surveillance Framework R package CRBHSF version 0.1.0 Provides methods for healthcare performance surveillance using Bayesian risk estimation, latent organisational trust modelling, cyber-resilience assessment, external validation, decision-theoretic optimisation, and digital-twin deployment simulation. The package supports prospective deterioration monitoring, uncertainty-aware risk assessment, intervention prioritisation, ablation analysis, and operational evaluation for healthcare performance management and health system resilience research. The methodological framework is informed by contemporary guidance on prediction model development and validation (Efthimiou et al., 2024 <doi:10.1136/bmj-2023-078276>), transparent reporting of prediction models (Collins et al., 2024 <doi:10.1136/bmj-2023-078378>), and decision-analytic model evaluation (Vickers and Elkin, 2006 <doi:10.1177/0272989X06295361>). Software Depends: R (>= 4.1.0) Imports: dplyr, ggplot2, pROC, purrr, tibble Suggests: testthat (>= 3.0.0), knitr, rmarkdown Muhammad Zahir Khan <zahirstat007@gmail.com> Comprehensive R Archive Network (CRAN) Muhammad Zahir Khan [aut, cre], Abdul Wahid Khan [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=CRBHSF/LICENSE) 2026-06-24 application/tgz https://CRAN.R-project.org/package=CRBHSF doi:10.32614/CRAN.package.CRBHSF