  Wireless medical networks are pivotal for chronic disease management, yet the
sensitive Big Data they generate presents administration challenges and cyber
vulnerability. This Big Data is valuable within both healthcare and legal
contexts, serving as a resource for investigating medical malpractice, civil
cases, criminal activities, and network-related incidents. However, the rapid
evolution of network technologies and data creates complexities in digital
forensics investigations and audits. To address these issues, this paper
proposes a secure decentralised framework aimed at bolstering digital forensics
readiness (DFR) in Big Data wireless medical networks by identifying security
threats, complexities, and gaps in current research efforts. By improving the
network's resilience to cyber threats and aiding in medical malpractice
investigations, this framework significantly advances digital forensics,
wireless networks, and healthcare. It enhances digital forensics readiness,
incident response, and the management of medical malpractice incidents in Big
Data wireless medical networks. A real-world scenario-based evaluation
demonstrated the framework's effectiveness in improving forensic readiness and
response capabilities, validating its practical applicability and impact. A
comparison of the proposed framework with existing frameworks concluded that it
is an advancement in framework design for DFR, especially in regard to Big Data
processing, decentralised DFR storage and scalability.
