The security of medical data is of paramount importance due to the sensitive and confidential nature of the information it contains. Medical data should be encrypted both in transit and at rest. Encrypting data ensures that even if a breach occurs, the stolen data remains unreadable without the encryption keys. In this paper, a unique key generation approach is proposed that uses chaotic maps and Bio-inspired Meta-heuristic Optimization for secure medical image transmission. The main goal is to make it complex for the attackers to decode the encrypted image without the secret key knowledge. The key generation approach integrates logistic and fuzzy triangular tent maps to form logistic fuzzy tent map. This generates random sequence numbers that are used as secure keys for encryption. The parameters of chaotic map are significant to the map behavior, and so to obtain the optimal parameter value, Red Panda Optimization Algorithm (RPOA) is utilized. To increase the security and confidentiality of the image data, the generated key is applied during the image encryption process. Consequently, the usage of various mathematical concepts maximizes the space of possible secret keys, creating the system more robust to different attacks. Also, this approach offers an effective solution to the problem of secure image encryption by generating complex and unpredictable keys.