Healthcare facilities are becoming increasingly reliant on digital technologies for patient information management, prompting worries about the security and privacy of sensitive health data. Quantum cryptography presents a viable alternative for improving the security of health data utilization while maintaining privacy and secrecy. Diabetes is one of the chronic diseases that requires attention and curation. The diagnosis of type1 diabetes (T1D) in new-born has become a concern and a huge point of research with decisions that can be accurate and can be amplified with efficiency. The data consumption for the framework has to be huge and enormous. A model can be developed and applied to a large data repository to get the prediction of associativity with the factors and occurrence of the diabetes to the newborn. The data generated by the proposed predictive model for juvenile diabetes uses classical cryptography algorithms, RSA/AES-256 for securing the data storage and transmission, which are vulnerable to quantum computing. The data that is generated through the framework will be highly effective, computational-ready and productive for analysis and decision making. Quantum computing techniques primary goal is to provide a high level of computation for large volumes of data sets with efficiency and speed. Hence there is a need to provide a high level of security and efficiency to this model generated data. This paper analyses the problems and future prospects for applying quantum cryptography in healthcare systems with regard to juvenile diabetes, emphasizing its potential to change data security in the healthcare domain.