IT Governance for e-Health Applications

The increasing use of e-Health applications in clinical practices is pushing the limits of Health Information Technology. e-Health applications are often considered as integrated healthcare applications that are purposely developed to not onlysupport electronic health information exchange but also to improve the quality and safety of healthcare delivery. However,even as these applications continue to evolve and remain widespread in use in many clinicians’ offices, the applicability ofproper Information Technology (IT) governance structure for their utilization remains a big challenge in the healthcareindustry. In this paper, a literature review is used to explore the applicability of IT governance in e-Health applications. Thepractical and research implications for establishing IT governance structure in e-Health applications are also discussed

Optimizing the use and adoption of healthcare information systems:A systematic review

Advancements in Information and Communication Technology (ICT) have led to the development of various forms of electronic records to support general practitioners and healthcare providers in capturing, storing, and retrieving routinely collected medical records and/or clinical information for optimal primary care and translational research. These advancements have resulted in the emergence of interoperable Healthcare Information Systems (HIS) such as Electronic Health Records (EHRs), Electronic Medical Records (EMRs) and Personal Health Records (PHRs). However, even as these systems continue to evolve, the research community is interested in understanding how the use and adoption of HIS can be optimized to support effective and efficient healthcare delivery and translational research. In this chapter, a systematic literature review methodology was used not only to explore the key benefits and technical challenges of HIS, but also to discuss the optimization approaches to maximizing the use and adoption of HIS in healthcare delivery. </jats:p

Profiling clinical datasets for data quality assessment and improvement

Clinical datasets are the most critical resources or assets in the repository of Electronic Health Records (EHRs) and their quality gains competitive advantages in translational research. Accurate, reliable, and consistent representation of clinical datasets are essential for answering key research questions. However, a major issue with carrying out research on routinely collected primary care datasets is that they are often not fit-for-purpose or research-ready. It often takes months (if not years) for researchers to clean and transform clinical datasets for meaningful translational research. Profiling clinical datasets provides a proactive approach to examining and understanding the content, context and structure of source system data. The objective of this study was to develop a profiling dashboard to monitor, measure, assess, and improve the quality of clinical datasets hosted and maintained by the Health Informatics Centre (HIC) at the University of Dundee. Preliminary results indicated that the dashboard affords the flexibility to perform objective assessment of data quality, in terms of accessibility, accuracy, appropriate amount of data, completeness, and consistency