A Reynolds-Averaged Navier Stokes (RANS)-information analytical method for predicting Rotor-Stator Interaction (RSI) broadband noise is established in this paper. First, the turbulence information is deduced from RANS simulation result. Then, the unsteady load on the stator blade is calculated using a strip theory approach based on LINearized SUBsonic unsteady flow in cascade (LINSUB) and 2-D equivalence method. In the end, the sound power of RSI broadband noise is calculated by coupling the unsteady load on the stator blade with acoustic analogy and annular duct mode. The broadband noise model part of the RANS-information analytical method is validated against the upstream sound power of an annular cascade experimental bench. Besides, the RANS-information analytical method is used in predicting RSI broadband noise of a single-stage axial fan acoustic experimental bench, the results illustrate that the RANS-information analytical method can accurately predict the RSI broadband noise in different fan working conditions. After simplification the Wave Leading Edge (WLE) stator blade, the effect of WLE stator blade on RSI broadband noise is studies. Although the simplification may bring some discrepancies, the results illustrate that the RANS-information analytical method has the capability for further studies on the broadband noise reduction with WLE stator blade.