Call for Book Chapters: Digital Homecare - Successes And Failures

Digital Homecare, as defined in the first ICMCC book on the subject, is "a collection of services to deliver, maintain and improve care in the home environment using the latest ICT technology and devices", covering aspects like assistive technology, telemedicine, mhealth, rehabilitation, aimed at elderly, chronic patients and/or handicapped people with the objective of improving efficiency and quality of care and life.

The purpose of this book is to collect experiences of project development and outcome in digital homecare for others to learn from both best practices and failures. In the editors' view the experiences of those involved in development and outcome of projects (independent of the kind of outcome) can and should be used by others working on (innovative) projects of digital homecare, realizing the importance of those projects in the light of ageing population problems and economic and legal challenges.

In Europe the tendency seems to go towards larger projects, after 2 decennia of smaller projects and pilots. However, the experiences of those smaller projects can be very helpful. We also aim at stories from projects run at a national or large organizational level.

For this book are welcome projects that are either technical or social or the combination of these two with the following sizes defined:

  • Small: at micro level, the level of a single organization;
  • Medium: at meso level, the regional level or co-operation organizations;
  • Large: at macro level, the level of a nation of even international.

Timeline

  • Required: a written intend of submission no later than 16 May 2010.
  • First full versions of chapters by 1 September 2010.
  • Review results will be announced by 1 October 2010.
  • Final chapter versions by 15 October 2010.

Publisher: Springer Verlag, In: Communications in Medical & Care Compunetics.

Editors: Lodewijk Bos, Adrie Dumay, Leonard Goldschmidt, Bryan Manning, Griet Verhenneman, Kanagasingam Yogesan

For further information, please visit:
http://www.icmcc.org/2010/04/12/digital-homecare-successes-and-failures/

About ICMCC
ICMCC (International Council on Medical & Care Compunetics) is an international foundation operating as the knowledge centre for medical and care compunetics, making information on medicine and care available to patients using compunetics as well as distributing information on the use of compunetics in medicine and care to patients and professionals. For further information, visit www.icmcc.org.

Most Popular Now

AI Tool Offers Deep Insight into the Imm…

Researchers explore the human immune system by looking at the active components, namely the various genes and cells involved. But there is a broad range of these, and observations necessarily...

AI Tool Beats Humans at Detecting Parasi…

Scientists at ARUP Laboratories have developed an artificial intelligence (AI) tool that detects intestinal parasites in stool samples more quickly and accurately than traditional methods, potentially transforming how labs diagnose...

Do Fitness Apps do More Harm than Good?

A study published in the British Journal of Health Psychology reveals the negative behavioral and psychological consequences of commercial fitness apps reported by users on social media. These impacts may...

Making Cancer Vaccines More Personal

In a new study, University of Arizona researchers created a model for cutaneous squamous cell carcinoma, a type of skin cancer, and identified two mutated tumor proteins, or neoantigens, that...

AI, Health, and Health Care Today and To…

Artificial intelligence (AI) carries promise and uncertainty for clinicians, patients, and health systems. This JAMA Summit Report presents expert perspectives on the opportunities, risks, and challenges of AI in health...

AI can Better Predict Future Risk for He…

A landmark study led by University' experts has shown that artificial intelligence can better predict how doctors should treat patients following a heart attack. The study, conducted by an international...

A New AI Model Improves the Prediction o…

Breast cancer is the most commonly diagnosed form of cancer in the world among women, with more than 2.3 million cases a year, and continues to be one of the...

AI System Finds Crucial Clues for Diagno…

Doctors often must make critical decisions in minutes, relying on incomplete information. While electronic health records contain vast amounts of patient data, much of it remains difficult to interpret quickly...

Improved Cough-Detection Tech can Help w…

Researchers have improved the ability of wearable health devices to accurately detect when a patient is coughing, making it easier to monitor chronic health conditions and predict health risks such...

Multimodal AI Poised to Revolutionize Ca…

Although artificial intelligence (AI) has already shown promise in cardiovascular medicine, most existing tools analyze only one type of data - such as electrocardiograms or cardiac images - limiting their...

New AI Tool Makes Medical Imaging Proces…

When doctors analyze a medical scan of an organ or area in the body, each part of the image has to be assigned an anatomical label. If the brain is...