Healthcare systems struggle to share patient information safely. Current methods often create security gaps or make it hard to understand the data. A new approach using four specific technologies offers a better path forward. This review looked at 26 peer-reviewed studies published between 2018 and 2026 to see if this new mix works.
The new system combines federated learning, blockchain, explainable AI, and incremental optimization. It compares against current systems that rely on centralized data processing. The review found that this hybrid approach improves data security and boosts how well doctors can interpret the models. It also helps facilities share data more easily while preventing the risks that usually come with sharing sensitive information.
The overall quality of these studies averaged a score of 7.0 out of 10. This indicates acceptable quality for the research. However, the current literature often looks at each technology separately. It does not yet show how these four tools can work together to create stronger synergies. We must be careful not to treat these findings as a guaranteed cure for every data problem.