Designing and implementing an information accountability framework for usable and useful eHealth systems

This research examined the design and implementation of an Information Accountability Framework for eHealth with the aim of enabling the creation of more useful eHealth systems. The study explored the challenges of implementing the accountability mechanisms as a means to balance patient privacy concerns and the information access needs of healthcare professionals. Through the use of modelling, user studies, and case studies, the thesis presented an architecture and requirements for implementing the protocols, proposed an extended model of the framework, and provided concrete examples of modifying existing eHealth systems to include the protocols

Health big data analytics : current perspectives, challenges and potential solutions

Modern health information systems can generate several exabytes of patient data, the so called "Health Big Data", per year. Many health managers and experts believe that with the data, it is possible to easily discover useful knowledge to improve health policies, increase patient safety and eliminate redundancies and unnecessary costs. The objective of this paper is to discuss the characteristics of Health Big Data as well as the challenges and solutions for health Big Data Analytics (BDA) – the process of extracting knowledge from sets of Health Big Data – and to design and evaluate a pipelined framework for use as a guideline/reference in health BDA