Abstract:
The healthcare industry is currently experiencing a digital revolution driven by developments in
information technology. This transformation is geared to improve health care, diagnosis, and continuous
surveillance by utilising smart devices. Digitization improves the efficiency of computing, storing, and accessing
medical records, resulting in enhanced patient treatment experiences. The convergence of artificial intelligence with
blockchain has great potential to revolutionize healthcare by improving security, cross platform communication, and
decision-making processes. Nevertheless, the combination of these two advanced technologies poses numerous
research challenges that require comprehensive investigation. The objective of the study is to conduct an early
investigation into blockchain based artificial intelligence approaches. Afterwards, it seeks to recognize and address
certain unresolved research challenges that must be addressed in the future. The research work suggests that the
problem of excessive energy usage and low transaction rate can be eliminated by improving the consensus
algorithms as the efficiency of both of these depends on it. The scalability issue may be resolved in the future using
forks and sharding techniques and as far as regulatory issues are concerned the government must set up common
policies to follow.
