Publication

Abstract : The advances in the information technology and communication technologies have fueled the digitization process in almost all sectors. Healthcare is one of such sectors where we could witness a rapid paradigm shift for the last couple of years. The major share of medical data that are generated from sources such as patient health records, clinical trials, patient-generated data such as forum posts, and social network data. There are several advantages due to this digitization but at the same time, it poses several challenges as well. One major challenge is on the storage and efficient retrieval of the digital healthcare data and another one is to capture the data in such a way that the sensitive medical data will not be tampered with. Thus, building a credible and trustworthy ecosystem for efficiently capturing and storing sensitive healthcare data is the need of the hour in the healthcare sector. Exponential technologies such as Artificial Intelligence (AI) and Blockchain are being used to develop innovative healthcare applications and solutions to tackle the issues mentioned. The credible data capturing infrastructure that is introduced with the famous currency, Bitcoin, now changing the way various industries and business function. The tamper-proof nature of blockchain can store the data that no one can erase but with the consent of the patient and a machine learning model trained on this data may have several potential applications in healthcare. This chapter proposes a new framework for building a trusted data management platform for the healthcare domain using blockchain that can be integrated with artificial intelligence techniques to build machine learning models. The authors believe that such a model will be useful to build several semantic knowledge discovery applications in the healthcare sector. This chapter will also discuss the future research dimensions combining AI and blockchain for enabling a trusted healthcare ecosystem.