Special Topic Issue Methods of Information in Medicine - Call for Papers

Methods of Information in Medicine is announcing a Special Topic Issue on Smart Homes and Ambient Assisted Living in an Aging Society.

A "smart home" is a residential setting equipped with a set of advanced electronics, sensors and automated devices specifically designed for care delivery, remote monitoring, early detection of problems or emergency cases and promotion of residential safety and quality of life. Information and Communication Technologies (ICTs) are utilized to allow older adults to live independently in their preferred environment. Thus, systems are patient-centered rather than institution-centered as they are designed to address the needs of the elderly, their families and caregivers rather than these of health care facilities. Technology advances rapidly and it is an imperative for the informatics community to ensure that smart home applications are designed, implemented and evaluated properly addressing not only technical challenges but also the end usersÂ’ needs, ethical, clinical and policy issues and the design of sustainable and non-obtrusive interventions.

Objectives
This Special Topic Issue will focus on the wide spectrum of all relevant issues and provide a holistic examination of the current status and future trends in smart homes and ambient assisted living, and will bring together informatics experts, practitioners and designers from a wide range of domains including engineering, health services, gerontology, usability, biomedical engineering, human-computer interaction. Specifically, the proposed Special Topic Issue will focus on the following areas:

  • design and development of technological home-based innovative solutions including sensor technologies, activity monitors, wearable technologies etc.
  • Interoperability of smart home components
  • development of algorithms and data mining techniques for reasoning, temporal modeling and detection of patterns, leading ultimately to decision making
  • design of ICT based models that support aging in place
  • analysis of ethical issues associated with technology integration in the residence and increased monitoring of residents
  • design of financially sustainable models (including the design of cost-effectiveness studies for these technologies)

Submission Guidelines
High quality, original papers dealing with this domain are solicited. All the manuscripts submitted will be subject to a rigorous review process. Submissions of full papers should be limited to at most 4,000 words including figures, tables, and references. The papers must follow the submission guidelines of Methods of Information in Medicine (available at http://www.schattauer.de/fileadmin/assets/
zeitschriften/methods/instructions_to_authors_10_2006.pdf
).

Papers must not have appeared in, nor be under consideration by other journals. The Special Topic Issue is anticipated to be published in 2008. Please submit your paper electronically (as an email attachment) to the Guest Editor at This email address is being protected from spambots. You need JavaScript enabled to view it.

Submission Deadline: May 1, 2007

For further information, please visit:
http://www.health-smarthomes.org

Most Popular Now

Using Data and AI to Create Better Healt…

Academic medical centers could transform patient care by adopting principles from learning health systems principles, according to researchers from Weill Cornell Medicine and the University of California, San Diego. In...

AI Medical Receptionist Modernizing Doct…

A virtual medical receptionist named "Cassie," developed through research at Texas A&M University, is transforming the way patients interact with health care providers. Cassie is a digital-human assistant created by Humanate...

Northern Ireland Completes Nationwide Ro…

Go-lives at Western and Southern health and social care trusts mean every pathology service is using the same laboratory information management system; improving efficiency and quality. An ambitious technology project to...

AI Tool Set to Transform Characterisatio…

A multinational team of researchers, co-led by the Garvan Institute of Medical Research, has developed and tested a new AI tool to better characterise the diversity of individual cells within...

AI Detects Hidden Heart Disease Using Ex…

Mass General Brigham researchers have developed a new AI tool in collaboration with the United States Department of Veterans Affairs (VA) to probe through previously collected CT scans and identify...

Human-AI Collectives Make the Most Accur…

Diagnostic errors are among the most serious problems in everyday medical practice. AI systems - especially large language models (LLMs) like ChatGPT-4, Gemini, or Claude 3 - offer new ways...

MHP-Net: A Revolutionary AI Model for Ac…

Liver cancer is the sixth most common cancer globally and a leading cause of cancer-related deaths. Accurate segmentation of liver tumors is a crucial step for the management of the...

Highland Marketing Announced as Official…

Highland Marketing has been named, for the second year running, the official communications partner for HETT Show 2025, the UK's leading digital health conference and exhibition. Taking place 7-8 October...

Groundbreaking TACIT Algorithm Offers Ne…

Researchers at VCU Massey Comprehensive Cancer Center have developed a novel algorithm that could provide a revolutionary tool for determining the best options for patients - both in the treatment...

The Many Ways that AI Enters Rheumatolog…

High-resolution computed tomography (HRCT) is the standard to diagnose and assess progression in interstitial lung disease (ILD), a key feature in systemic sclerosis (SSc). But AI-assisted interpretation has the potential...