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Melbourne, Australia

Hovenga E.J.S.,EHealth Education Pty Ltd | Garde S.,Ocean Informatics
Electronic Journal of Health Informatics | Year: 2010

An opinion paper exploring links between sustainable health systems, electronic health records, semantic interoperability, standards and national e-health strategies. It provides a rationale for why there needs to be a paradigm shift in thinking and explains the need for adopting a set of technical standards and establishing a supporting national infrastructure. It is argued that only then can Governments expect to be able to successfully implement health reform to meet their future vision and achieve a sustainable health system. © of articles is retained by authors.

Hovenga E.J.,EHealth Education Pty Ltd
Studies in health technology and informatics | Year: 2013

The health workforce constitutes a very significant health system building block. As such it needs to have the capacity to influence how health data are captured, processed and used at all levels of decision making. This requires a national strategy that ensures all new health professional graduates are adequately prepared and that the existing workforce is developed to make the best possible use of all available digital technologies. This chapter provides an argument for why and how the health workforce should be contributing to health information governance, followed by an historical overview of various initiatives undertaken, the results achieved and issues identified during these processes. It concludes with an exploration of strategies that may be adopted to bring about change and achieve improvements.

Cummings E.,University of Tasmania | Shin E.H.,University of Tasmania | Mather C.,University of Tasmania | Hovenga E.,EHealth Education Pty Ltd
Studies in Health Technology and Informatics | Year: 2016

Alongside the rapid rise in the adoption of electronic health records and the use of technology to support nursing processes, there is a requirement for nursing students, new graduate nurses, and nursing educators to embrace nursing informatics. Whilst nursing informatics has been taught at post graduate levels for many years, the integration of it into undergraduate studies for entry level nurses has been slow. This is made more complex by the lack of explicit nursing informatics competencies in many countries. Australia has now mandated the inclusion of nursing informatics into all undergraduate nursing curricula but there continues to be an absence of a relevant set of agreed nursing competencies. There is a resulting lack of consistency in nursing curricula content nationally. This paper describes the process used by one Australian university to integrate nursing informatics throughout the undergraduate nursing degree curriculum to ensure entry level nurses have a basic level of skills in the use of informatics. © 2016 IMIA and IOS Press.

Hovenga E.J.,EHealth Education Pty Ltd
Studies in health technology and informatics | Year: 2013

Health is a knowledge industry, based on data collected to support care, service planning, financing and knowledge advancement. Increasingly there is a need to collect, retrieve and use health record information in an electronic format to provide greater flexibility, as this enables retrieval and display of data in multiple locations and formats irrespective of where the data were collected. Electronically maintained records require greater structure and consistency to achieve this. The use of data held in records generated in real time in clinical systems also has the potential to reduce the time it takes to gain knowledge, as there is less need to collect research specific information, this is only possible if data governance principles are applied. Connected devices and information systems are now generating huge amounts of data, as never before seen. An ability to analyse and mine very large amounts of data, "Big Data", provides policy and decision makers with new insights into varied aspects of work and information flow and operational business patterns and trends, and drives greater efficiencies, and safer and more effective health care. This enables decision makers to apply rules and guidance that have been developed based upon knowledge from many individual patient records through recognition of triggers based upon that knowledge. In clinical decision support systems information about the individual is compared to rules based upon knowledge gained from accumulated information of many to provide guidance at appropriate times in the clinical process. To achieve this the data in the individual system, and the knowledge rules must be represented in a compatible and consistent manner. This chapter describes data attributes; explains the difference between data and information; outlines the requirements for quality data; shows the relevance of health data standards; and describes how data governance impacts representation of content in systems and the use of that information.

Hovenga E.J.,EHealth Education Pty Ltd
Studies in health technology and informatics | Year: 2013

All communication within the health industry is dependent upon the use of our health language consisting of a very extensive and complex vocabulary. Converting this language into computable formats is necessary in a digital environment with a strong reliance on data, information and knowledge sharing. This chapter describes our health language, what terminologies and ontologies are, their use and relationships with natural language, indexing, data standards, data collections and the need for data governance.

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