In recent years, healthcare organizations have required maximum protection and authenticity for medical images processed by cloud-based systems and open networks. To address this challenge ,the proposed research presents dual data protection through a combination of non-blind and blind watermarking methods to achieve maximum security and authentication options for e-healthcare systems. A novel method implements Contourlet Transform (CT) with Multiresolution singular value decomposition (MSVD) for non-blind watermarking operations that enables robust patient information embedding without compromising image perceptibility. For authentication purpose, blind watermarking is used, which utilizes a hybrid combination of Redundant Discrete wavelet decomposition (RDWT) and MSVD . A denoising strategy based on DWT performs simultaneously with the purpose of noise reduction and extracted information maintenance. The proposed technique exhibits significant performance enhancements across many image attacks, improving robustness and accuracy. This dual watermarking method provides healthcare applications with an effective security system to protect medical images because it outperforms conventional watermarking methods.