  Advancements in healthcare industry with new technology and population growth
has given rise to security threat to our most personal data. The healthcare
data management system consists of records in different formats such as text,
numeric, pictures and videos leading to data which is big and unstructured.
Also, hospitals have several branches at different locations throughout a
country and overseas. In view of these requirements a cloud based healthcare
management system can be an effective solution for efficient health care data
management. One of the major concerns of a cloud based healthcare system is the
security aspect. It includes theft to identity, tax fraudulence, insurance
frauds, medical frauds and defamation of high profile patients. Hence, a secure
data access and retrieval is needed in order to provide security of critical
medical records in health care management system. Biometric authentication
mechanism is suitable in this scenario since it overcomes the limitations of
token theft and forgetting passwords in conventional token id-password
mechanism used for providing security. It also has high accuracy rate for
secure data access and retrieval. In this paper we propose BAMHealthCloud which
is a cloud based system for management of healthcare data, it ensures security
of data through biometric authentication. It has been developed after
performing a detailed case study on healthcare sector in a developing country.
Training of the signature samples for authentication purpose has been performed
in parallel on hadoop MapReduce framework using Resilient Backpropagation
neural network. From rigorous experiments it can be concluded that it achieves
a speedup of 9x, Equal error rate (EER) of 0.12, sensitivity of 0.98 and
specificity of 0.95 as compared to other approaches existing in literature.
