  The recent advancement in computing technologies and resulting vision based
applications have gives rise to a novel practice called telemedicine that
requires patient diagnosis images or allied information to recommend or even
perform diagnosis practices being located remotely. However, to ensure accurate
and optimal telemedicine there is the requirement of seamless or flawless
biomedical information about patient. On the contrary, medical data transmitted
over insecure channel often remains prone to get manipulated or corrupted by
attackers. The existing cryptosystems alone are not sufficient to deal with
these issues and hence in this paper a highly robust reversible image
steganography model has been developed for secret information hiding. Unlike
traditional wavelet transform techniques, we incorporated Discrete Ripplet
Transformation (DRT) technique for message embedding in the medical cover
images. In addition, to assure seamless communication over insecure channel, a
dual cryptosystem model containing proposed steganography scheme and RSA
cryptosystem has been developed. One of the key novelties of the proposed
research work is the use of adaptive genetic algorithm (AGA) for optimal pixel
adjustment process (OPAP) that enriches data hiding capacity as well as
imperceptibility features. The performance assessment reveals that the proposed
steganography model outperforms other wavelet transformation based approaches
in terms of high PSNR, embedding capacity, imperceptibility etc.
