Call for Chapters - Handbook of Research in Nursing and Clinical Informatics

Proposals Submission Deadline: September 15, 2007
Full Chapters Due: January 15, 2008

A book edited by: Roland Staudinger, Herwig Ostermann, Bettina Staudinger
Institute of Medical Law, Human Resources and Health Politics
University for Health Sciences, Medical Informatics and Technology, Hall/Tyrol, Austria

The field of Nursing Informatics is currently one of the fastest growing areas of medical informatics. Several reasons for this growth can be identified:

  • Through increasing life expectancy and the growing (political) emphasis on the development of social systems, the area of nursing has been able to gain an overall higher status and therefore higher degree of professionalism. This has resulted in fast growing markets in this field, too.
  • A professionalization offensive in applied nursing runs parallel with the development outlined above, the offensive ultimately being thematically controlled as well as driven by advances in nursing sciences. The well-described Theory-Practice-Gap is currently being attempted to be bridged, on the one hand using knowledge transfer and standardization on the other.
  • From this there is an increased necessity for the application of Nursing Informatics whereby the accomplishment of nursing processes has to be supported on the one hand. On the other, both planning data and quality indicators can be derived which may form the basis for the further organizing of the nursing system in a political and structural respect.

Through the compilation of the Handbook of Research in Nursing and Clinical Informatics: Socio-Technical Approaches, a general overview will be given as to the current state of nursing informatics. Particular attention will be given to social, socio-technical and political conditions and the focus of further research and development projects will be detailed. Highlighted in the work will be the core areas of nursing informatics, technical feasibility and functionality. The Handbook will also focus on international perspectives and the challenges that deviations in nursing systems provide and it will serve as a concrete foundation for further research projects and will be a unique comparative work. This new publication may be used as a definitive guide by the scientific community as well as practitioners and operating authorities within nursing infrastructures.

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

  • Information and good clinical practice
  • Quality of data and documentation
  • Social impacts of telemedicine
  • Clinical decision systems
  • Technical requirements of NI
  • NI for home care
  • International comparison of NMDS
  • Theory Practice Gap and knowledge transfer
  • NI as a tool supporting nursing assessment
  • Evidence Based Nursing and NI
  • Technical process guided nursing
  • International benchmarks of nursing quality
  • The quality of nursing processes
  • Data needs for national nursing system planning
  • Evaluation systems and NI
  • NDMS as a management information and decision support tool
  • Mobile devices the and nursing process
  • Nursing education and IT curricula integration
  • The role of nursing science in NI

For further topics and other important information, please visit:
http://www.nursing-informatics.eu

Most Popular Now

AI for Real-Rime, Patient-Focused Insigh…

A picture may be worth a thousand words, but still... they both have a lot of work to do to catch up to BiomedGPT. Covered recently in the prestigious journal Nature...

New Research Shows Promise and Limitatio…

Published in JAMA Network Open, a collaborative team of researchers from the University of Minnesota Medical School, Stanford University, Beth Israel Deaconess Medical Center and the University of Virginia studied...

G-Cloud 14 Makes it Easier for NHS to Bu…

NHS organisations will be able to save valuable time and resource in the procurement of technologies that can make a significant difference to patient experience, in the latest iteration of...

Hampshire Emergency Departments Digitise…

Emergency departments in three hospitals across Hampshire Hospitals NHS Foundation Trust have deployed Alcidion's Miya Emergency, digitising paper processes, saving clinical teams time, automating tasks, and providing trust-wide visibility of...

Start-Ups will Once Again Have a Starrin…

11 - 14 November 2024, Düsseldorf, Germany. The finalists in the 16th Healthcare Innovation World Cup and the 13th MEDICA START-UP COMPETITION have advanced from around 550 candidates based in 62...

MEDICA HEALTH IT FORUM: Success in Maste…

11 - 14 November 2024, Düsseldorf, Germany. How can innovations help to master the great challenges and demands with which healthcare is confronted across international borders? This central question will be...

A "Chemical ChatGPT" for New M…

Researchers from the University of Bonn have trained an AI process to predict potential active ingredients with special properties. Therefore, they derived a chemical language model - a kind of...

Siemens Healthineers co-leads EU Project…

Siemens Healthineers is joining forces with more than 20 industry and public partners, including seven leading stroke hospitals, to improve stroke management for patients all over Europe. With a total...

MEDICA and COMPAMED 2024: Shining a Ligh…

11 - 14 November 2024, Düsseldorf, Germany. Christian Grosser, Director Health & Medical Technologies, is looking forward to events getting under way: "From next Monday to Thursday, we will once again...

In 10 Seconds, an AI Model Detects Cance…

Researchers have developed an AI powered model that - in 10 seconds - can determine during surgery if any part of a cancerous brain tumor that could be removed remains...

Does AI Improve Doctors' Diagnoses?

With hospitals already deploying artificial intelligence to improve patient care, a new study has found that using Chat GPT Plus does not significantly improve the accuracy of doctors' diagnoses when...

AI Analysis of PET/CT Images can Predict…

Dr. Watanabe and his teams from Niigata University have revealed that PET/CT image analysis using artificial intelligence (AI) can predict the occurrence of interstitial lung disease, known as a serious...