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Blockchain & AI in e-Health

Blockchain and Artificial Intelligence Technology in E-Health

The global healthcare system is one of the most complicated regarding the number of stakeholders, components, and colossal data it generates. This is not just large compared to any other discipline but also has immense research potential. This, therefore, introduces particular intrinsic challenges, such as decision making, intelligent sorting and classification of research outputs, quality maintenance, and, most importantly, data security, which every hospital produces daily.

Traditional data systems and encryption are insufficient to achieve these objectives and guard against such attacks. The solution, therefore, is to use blockchain. Blockchain is a new technology transforming data protection, particularly in healthcare. It provides data dependability, transparency, immutability, and durability, which is pretty much everything a database administrator would want. Think about combining this security with artificial intelligence (AI). That is the ultimate desire of anybody, not least healthcare system. Something clever enough to make independent judgments, correct course, organize shifts of physicians and nurses as needed by their habits, duty times, mental and physical health, and guarantee the ultimate data protection.

This is one of the growing digital solutions that are drawing many entrepreneurs as part of a trillion-dollar sector focused on delivering e-healthcare solutions for everyone. For example, a miracle medicine may be ideal for a certain patient but if the condition is widespread, and time is running out to find the ideal patient for the trial run, AI and blockchain-based e-health solutions can:

Analyze data safeguarded by the blockchain's strong protection, and

AI would analyze patients and categorize them as ideal prospects. This will reduce decision-making time and increase efficiency for physicians, nurses, and researchers.

This would include everything from scheduling major interventions, doctor-patient notes, and communication integrity to producing reports and providing hospitals with an automated view into where improvements are necessary and which sectors of a healthcare system are justifying the resource allocation.

The main concern is how, aside from the standard theoretical framework, this will make the system more dependable and if there are real-world applications of this technology. The primary explanation is that blockchain and artificial intelligence (AI) have become valuable tools in the larger technological realm, with many people utilizing, depending on, and even engaging directly with these two technologies independently. Almost everyone with a mobile device is aware of blockchain technology because cryptocurrency is in the news for many reasons. The same is true for AI, as mobile devices employ various AI algorithms and machine learning to make judgments for consumers without their knowledge.

If we use it in everyday life, then implementing it in e-health will be a significant step towards dependability and data safety. Because Healthcare data is a goldmine and more profitable than illegal drug trafficking, it should be protected. With all of its features, Blockchain technology has demonstrated that it is mature enough to take the next step and stop data leaking in healthcare, which is also becoming a mental health issue for patients.

Finally, it is past time for healthcare systems to use emerging technology by combining blockchain and AI to manage better, secure, and boost the whole system's efficiency while also ensuring that it is affordable and accessible to all stakeholders.

References:

● Tagde, P., Tagde, S., Bhattacharya, T., Tagde, P., Chopra, H., Akter, R., ... & Rahman, M. (2021). Blockchain and artificial intelligence technology in e-Health. Environmental Science and Pollution Research, 28(38), 52810-52831.

● Ruggeri, A., Di Salvo, R., Fazio, M., Celesti, A., & Villari, M. (2021, September). Blockchain-Based Strategy to Avoid Fake AI in eHealth Scenarios with Reinforcement Learning. In 2021 IEEE Symposium on Computers and Communications (ISCC) (pp. 1-7). IEEE.

● Koppel, R., & Kuziemsky, C. E. (2019, January). Healthcare Data Are Remarkably Vulnerable to Hacking: Connected Healthcare Delivery Increases the Risks. In ITCH (pp. 218-222).

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