Emotions are vital to human perception and understanding, impacting cognition, communication and decision-making.
Humans need to experience affection is largely ignored in technology, yet.
Affective Computing is an interdisciplinary field of psychology, computer science, neuroscience/ cognitive science, sociology, education and physiology that investigates and develops applications Continue reading “Affective Computing – When Computers Feel with You” »
The next generation Internet, the Internet of Things (IoT), will be a dynamic network infrastructure with self-configuring abilities.
Both, physical and virtual “things”, will have an identity and physical characteristics as well as virtual personalities that are seamlessly integrated into the (information technology) IT networks.
Healthcare, such as eHealth, mHealth, telemedicine and assisted living, is one of the big targets of the IoT.
The goals of the IoT in healthcare include to better cope with the ever more increasing number of chronically ill people and complex diseases, for early prevention strategies and an older growing population (by 2040, the population over 80 years will be doubled). Continue reading “The Internet of Things IV – Healthcare Promises of the Technological Era” »
Experts expect digital health to significantly grow throughout the year 2013 and soon allow better managing disease and wellness.
1. Innovative hardware and software
The advance of smart phones, tablets and other devices will trigger the development of innovative applications in a wide variety of areas such as medical decision support, health communications and advice tools etc.
2. Cost-saving technology
Health care costs are exploding, thus, innovative cost-effective solutions are necessary. Technology can help to save costs by providing health care solutions that lead care in directions with better efficiencies and possibilities for self-care and increased wellness. Continue reading “How Will Digital Health Develop in 2013?” »
The progress in Big Data processing and management, data mining technologies, neural networks and simulation applications allows detailed tracking of past data and analyzing patterns that is used to predict future behaviors, health, traffic or forecasts airfare fees.
Predictive technologies are increasingly entering businesses and marketing, medicine, epidemiology, security etc. Continue reading “Predictive Technologies – How Yesterday Forecasts Tomorrow” »
There are emerging mobile technologies that change the health industry including wellness, fitness, healthcare and medicine. They support patients and other users making better health choices as they also provide healthcare providers with tools to collect patient data aiming to improve outcomes. Continue reading “mHealth Smart – The Future of Medicine on Your Smartphone?” »
Nanotechnology is the technology that aims to manipulate matter at the atomic and molecular level.
Nanotechnology in medicine, called nanomedicine, promises to transform drug delivery systems, gene therapy, diagnostic approaches and many areas of preclinical and clinical research and development. Continue reading “Nanotechnology – New ways in Medicine” »
The number of software applications for self-monitoring is steadily increasing including apps for tacking weight, fitness levels, nutritional intake, health conditions, mood, sleep cycle, stress level and heart rate, when to stop drinking, management of expenses and many more.
Using smartphone apps and sensors, self-monitoring is Continue reading “Self-monitoring Apps – The New Way to Wellbeing?” »
Most point of care facilities still use paper-based records for recording patient information, which is unsatisfactory and high in costs. This process can be simplified with electronic records.
Electronic Medical Health Records (EMRs) are authorized clinical software database applications for, physician offices, nursing centers etc. to increase efficiency, productivity, and revenue.
EMRs are capable to create exceedingly operative systems for the clinical workflow providing a Clinical Data Repository (CDR), clinical decision support, controlled medical vocabulary, provider entry authorization Continue reading “Electronic Medical Health Records I – What are they?” »
Clinical decisions by doctors and nurses may result in suboptimal outcomes for the patient.
Most decision support systems aim to identify the best decision to take within a precise or estimated range.
The system behind a logical condition is very simple in the sense that it analyzes whether a measured variable is within a set of defined bounds or Continue reading “Logical Condition Algorithms in Medicine” »
