01973nas a2200265   4500000000100000000000100001008004100002260001200043653001500055653001100070653001800081653001700099653002800116653002100144653001700165100001800182700001400200700001400214245009800228856008000326300001000406490000600416520127100422022001401693       2020                            d  c09/202010aBlockchain10aHealth10aData Security10aData Privacy10aArtificial Intelligence10aInteroperability10aTraceability1 aH. S. Jennath1 aV S Anoop1 aS Asharaf00aBlockchain for Healthcare: Securing Patient Data and Enabling Trusted Artificial Intelligence  uhttps://www.ijimai.org/journal/sites/default/files/2020-08/ijimai_6_3_2.pdf  a15-230 v63 aAdvances in information technology are digitizing the healthcare domain with the aim of improved medical services, diagnostics, continuous monitoring using wearables, etc., at reduced costs. This digitization improves the ease of computation, storage and access of medical records which enables better treatment experiences for patients. However, it comes with a risk of cyber attacks and security and privacy concerns on this digital data. In this work, we propose a Blockchain based solution for healthcare records to address the security and privacy concerns which are currently not present in existing e-Health systems. This work also explores the potential of building trusted Artificial Intelligence models over Blockchain in e-Health, where a transparent platform for consent-based data sharing is designed. Provenance of the consent of individuals and traceability of data sources used for building and training the AI model is captured in an immutable distributed data store. The audit trail of the data access captured using Blockchain provides the data owner to understand the exposure of the data. It also helps the user to understand the revenue models that could be built on top of this framework for commercial data sharing to build trusted AI models.  a1989-1660