Secure Blockchain-Based Mental Healthcare Framework:—A Paradigm Shift from Traditional to Advanced Analytics

Abstract

Modern state-of-the-art technologies, ranging from advanced statistical approaches to deep learning technologies, have fundamentally transformed the digital data world, notably in the healthcare industry. Artificial intelligence (AI), machine learning (ML), blockchain, and deep learning (DL) technologies have all evolved in the recent decade and have piqued the interest of a variety of sectors ranging from industries to environment, wellness to health, commerce to service sectors The latest technological breakthroughs are allowing for new approaches to exploit untapped opportunities in mental healthcare. Inside this mental health care sector, the value proposition for blockchain technology is to securely transmit sensitive patient data among health care institutions while also empowering patients. The healthcare sector and related organizations have begun to adopt state-of-the-art technologies for value-based healthcare diagnosis, but there is still a long way to go because the challenges these organizations face are multidimensional and necessitate the use of appropriate techniques that cannot be trumped. The purpose of this article is to learn about the technology's fundamentals, the crucial impact it can play in the mental healthcare field, and draw attention towards the conceptual framework for secure mental health analytics to be practically worked upon soon. It is crucial to note that determining the entire benefits of blockchain at this time is difficult. We won't be able to arrive at a realistic conclusion on the technology's usefulness until and until it is widely adopted and employed. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.