Medical information plays a crucial part in medical diagnosis nowadays, and it should be transmitted in an encrypted way. For conveying medical image information, we suggest a combined watermarking-encryption-compression approach. The main goal is to establish medical data storage and security, which will be useful for health card-based treatment. Watermarking medical images have long been acknowledged as a good way to improve security, authenticity, and content verification in this area. In this research, we provide a method for authenticating medical images that combines the Discrete Wavelet Transform (DWT)-Singular Value Decomposition (SVD) authentication approach with the Inverse Discrete Wavelet Transform (IDWT) image retrieval technology. The watermarks are included in the detail coefficient of the sub-bands in our approach. The coefficients of the sub-bands are marked by the embedding a watermark in vertical (LH), horizontal (HL), and diagonal (HH) details, as well as a comparison of embedding a watermark at vertical (LH), horizontal (HL), and diagonal (HH) details. To reduce the size of the data without sacrificing quality, a compression algorithm is used to the watermarked image, and AES encryption is employed to add extra protection. The proposed methodology is analysed on sets of Retinal images and brain MRI images. This scheme maintains the quality of an image while storing data of retinal images and MRI images under one Aadhar card. The performance to static is evaluated using many metrics such as Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), Root Mean Square Error (RMSE), and Compression Ratio (CR). These different performance metrics were analysed after de-watermarking with different orders of Daubechies wavelet.