Call for the eHealth Book Chapters

Submission Deadline: September 15, 2007
"Biomedical Knowledge Management: Infrastructures and Processes for E-Health Systems"

A book edited by
Wayne Pease, University of Southern Queensland, Australia,
Prof. Malcolm Cooper, Ritsumeikan Asia Pacific University, Japan, and Assoc. Professor Raj Gururajan, University of Southern Queensland, Australia.

E-Health describes the application of information and communications technologies (ICT) across the whole range of functions that affect the health sector, from the doctor to the hospital manager, via nurses, data processing specialists, social security administrators and - of course - the patients. E-Health is one of the most rapidly growing areas in health today. However, limited systematic research has been carried out to inform e-Health policy and practice. The internet and other developments in e-Health are playing increasing roles in consumer health behaviour, and in the delivery of health services.

Overall objectives and mission of the book
Key challenges facing healthcare providers today include an aging population, demanding patients, medical errors, lack of access to systematic knowledge bases including measuring health outcomes, and rising costs of health care. These challenges will be addressed by the contents of this book. Our book is an in-depth examination of e-Health from a theoretical as well as a practical viewpoint, in an edited paper format (8000-10000 words). The objective of the edited book is to look at the current state of play in terms of e-Health research and development of innovative ICT systems and services that process, integrate and use all relevant biomedical information for improving health knowledge. An examination of e-Health will also shed light on the rise of the Asia Pacific region as a prominent growth area in the use of ICT in the delivery of health services. The book will be written with a higher level academic readership in mind, while also being targeted at those who in some way or another are engaged in the study of ICT solutions to industrial and social problems with respect to health care delivery in the developing world.

Recommended topics include, but are not limited to the following:

  • General overview of eHealth in the 21st Century
  • General overview of the ICT environment for eHealth
  • Role of ICT as an enabler for healthcare outcomes
  • Improving the quality of healthcare services using ICT technologies
  • Streamlining multi-disciplinary and multi-level care management
  • Improving clinical and administrative efficiency including clinical governance
  • Developing knowledge bases for health care systems
  • Meeting training needs for health professionals using ICT technologies
  • Maintaining high standards of patient privacy and information security
  • User friendliness and community involvement in eHealth systems and services.
  • Legal, ethical and regulatory issues
  • Education issues - e-health involves new forms of patient-physician interaction
  • New relationships between health professionals and their patients – patient centric
  • Electronic medical records (EMR) and integrated health platforms
  • Extending the scope of health care beyond its conventional boundaries
  • New Frontiers for ICT and health care management
  • Empowerment of consumers and patients
  • Equity and e-health - to make health care more equitable is one of the promises of e-health, but at the same time there is a considerable threat that e-health may deepen the gap between the "haves" and "have-nots" – the digital divide
  • Development and implementation of electronic healthcare information standards for data exchange for use in health informatics e.g. HIPPA, HL7 and DICOM
  • Role of electronic healthcare standards in health informatics
  • Data standards for the distribution of meaningful data in health informatics e.g. controlled medical vocabularies (CMVs) such as the Standardized Nomenclature of Medicine, Clinical Terms (SNOMED-CT)
  • Decision support systems in healthcare, including clinical decision support systems

Target Audience
This book is intended to support both researchers in health information systems and health practitioners who are concerned with the successful design and implementation of health information systems. In addition the book will serve as a critical reference resource for various governmental and non-governmental circles concerned with health service delivery activities, directly and indirectly.

Submission Procedure
Researchers and practitioners are invited to submit on or before September 15, 2007, a 2-5 page manuscript proposal clearly explaining the mission and concerns of the proposed chapter. Authors of accepted proposals will be notified by October 15, 2007 about the status of their proposals and sent chapter organizational guidelines. Full chapters (8000-10000 words) are expected to be submitted by January 31, 2008. All submitted chapters will be reviewed on a double-blind review basis. The book is scheduled to be published by IGI Global (formerly Idea Group Inc.), www.igi-pub.com, and has been selected for inclusion in IGI Global's most prestigious imprint, Information Science Reference – ISR, as one of its Handbooks of Research. This highly-acclaimed line of publications includes only the most advanced, comprehensive research titles published by ISR.

Inquiries and submissions can be forwarded electronically (Word document) or by mail to:
Wayne Pease
Associate Dean (Fraser Coast)
Faculty of Business
Fraser Coast Campus
University of Southern Queensland
PO Box 910
Hervey Bay, Queensland
Australia 4655
Tel.: +61 (0)7 41206123
Fax: +61 (0)7 41206168
E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Most Popular Now

DMEA 2025: Digital Health Worldwide in B…

8 - 10 April 2025, Berlin, Germany. From the AI Act, to the potential of the European Health Data Space, to the power of patient data in Scandinavia - DMEA 2025...

Is AI in Medicine Playing Fair?

As artificial intelligence (AI) rapidly integrates into health care, a new study by researchers at the Icahn School of Medicine at Mount Sinai reveals that all generative AI models may...

New System for the Early Detection of Au…

A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial intelligence. The...

Generative AI's Diagnostic Capabili…

The use of generative AI for diagnostics has attracted attention in the medical field and many research papers have been published on this topic. However, because the evaluation criteria were...

Diagnoses and Treatment Recommendations …

A new study led by Prof. Dan Zeltzer, a digital health expert from the Berglas School of Economics at Tel Aviv University, compared the quality of diagnostic and treatment recommendations...

AI Tool can Track Effectiveness of Multi…

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers. AI uses...

Surrey and Sussex Healthcare NHS Trust g…

Surrey and Sussex Healthcare NHS Trust has marked an important milestone in connecting busy radiologists across large parts of South East England, following the successful go live of Sectra's enterprise...

Dr Jason Broch Joins the Highland Market…

The Highland Marketing advisory board has welcomed a new member - Dr Jason Broch, a GP and director with a strong track record in the NHS and IT-enabled transformation. Dr Broch...

DMEA 2025 Ends with Record Attendance an…

8 - 10 April 2025, Berlin, Germany. DMEA 2025 came to a successful close with record attendance and an impressive program. 20,500 participants attended Europe's leading digital health event over the...

AI-Driven Smart Devices to Transform Hea…

AI-powered, internet-connected medical devices have the potential to revolutionise healthcare by enabling early disease detection, real-time patient monitoring, and personalised treatments, a new study suggests. They are already saving lives...

Multi-Resistance in Bacteria Predicted b…

An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically...

A Novel AI-Based Method Reveals How Cell…

Researchers from Tel Aviv University have developed an innovative method that can help to understand better how cells behave in changing biological environments, such as those found within a cancerous...