Background: Health care systems are currently undergoing a digital transformation that has been primarily triggered by emerging technologies, such as artificial intelligence, the Internet of Things, 5G, blockchain, and the digital representation of patients using (mobile) sensor devices. One of the results of this transformation is the gradual virtualization of care. Irrespective of the care environment, trust between caregivers and patients is essential for achieving favorable health outcomes. Given the many breaches of information security and patient safety, today's health information system portfolios do not suffice as infrastructure for establishing and maintaining trust in virtual care environments. Objective: This study aims to establish a theoretical foundation for a complex health care system intervention that aims to exploit a cryptographically secured infrastructure for establishing and maintaining trust in virtualized care environments and, based on this theoretical foundation, present a proof of concept that fulfills the necessary requirements. Methods: This work applies the following framework for the design and evaluation of complex intervention research within health care: a review of the literature and expert consultation for technology forecasting. A proof of concept was developed by following the principles of design science and requirements engineering. Results: This study determined and defined the crucial functional and nonfunctional requirements and principles for enhancing trust between caregivers and patients within a virtualized health care environment. The cornerstone of our architecture is an approach that uses blockchain technology. The proposed decentralized system offers an innovative governance structure for a novel trust model. The presented theoretical design principles are supported by a concrete implementation of an Ethereum-based platform called VerifyMed. Conclusions: A service for enhancing trust in a virtualized health care environment that is built on a public blockchain has a high fit for purpose in Healthcare 4.0. As a result of health care development, societies are undergoing a current demographic shift--people live longer, and fewer are born. The overall increase in life expectancy between 1970 and 2013 was 10.4 years on average for Organization for Economic Cooperation and Development countries .
Before I tried it out, I wasn't sure who the vívoactive 4 was created for. Garmin calls it a "smart GPS smartwatch built for your active lifestyle," but that left me wondering: Is it for serious athletes? People who aren't very active but want to be? Two weeks and many miles of running later, I have a better idea. In a nutshell, the vívoactive 4 strikes me as a hybrid smartwatch, combining some essential features of a fitness watch with the look and feel of a classic smartwatch.
David Lareau is CEO of Medicomp Systems, a provider of physician-driven point-of care solutions that fix EHRs. In 2020, the amount of healthcare data created globally was an estimated 2,314 exabytes -- which is an unfathomable amount when you consider a single exabyte is equivalent to one billion gigabytes. While it may be hard to wrap one's head around such a figure, this much is clear: To make sense of such healthcare's ever-growing volumes of data, we need advanced technologies, such as artificial intelligence (AI)-based tools, to enhance user productivity and minimize burdensome searches. One of the most promising AI technologies to help manage huge volumes of data is natural language processing (NLP). NLP is a branch of linguistics, computer science and AI that enables computers to read, understand and structure large volumes of human prose (i.e., natural language).
FRANKLIN the cuttlefish considered the juicy prawn meat morsel in front of her. As mouth-watering as it looked, she resisted temptation and waited for her favourite meal to become available – live shrimp. Her self-control is impressive and comparable to what we see in chimpanzees and crows. Self-control is a vital cognitive skill that underpins decision-making and future planning. In humans, these abilities are linked to sentience because they are thought to involve conscious experience.
A federal rule that requires health care providers to offer patients free, convenient and secure electronic access to their personal medical records went into effect earlier this year. However, providing patients with access to clinician notes, test results, progress documentation and other records doesn't automatically equip them to understand those records or make appropriate health decisions based on what they read. "Medicalese" can trip up even the most highly educated layperson, and studies have shown that low health literacy is associated with poor health outcomes. University of Notre Dame researcher John Lalor, an assistant professor of information technology, analytics and operations at the Mendoza College of Business, is part of a team working on a web-based natural language processing system that could increase the health literacy of patients who access their records through a patient portal. NoteAid, a project based at the University of Massachusetts Amherst, conveniently translates medical jargon for health care consumers.
Wildfires across the world have been increasing in frequency and severity over the last five years. A number of records were broken in 2020 thanks to Australia's brush fires as well as wildfires in Spain and the Western United States. Due to the increase in devastation from fires, firefighters are also facing greater health risks after battling against blazes. To help with this problem, the Linux Foundation has announced that it will host Pyrrha -- a solution created by AI-platform Prometeo that uses artificial intelligence and the internet of things to guard the safety of firefighters. Prometeo won IBM's 2019 Call for Code Global Challenge after designing their platform, which monitors and acts on firefighter health and safety in real-time and over the long-term.
Pittsburgh technology company Marinus Analytics won third place in the IBM Watson AI XPRIZE competition Wednesday, beating out nearly 800 competitors around the world. Marinus uses artificial intelligence to sift through big data and help law enforcement agencies stop human trafficking and recover victims. "We had detectives saying, 'When we're looking for a missing child, the best we can do is print out a photo of their face, tape it to our computer screen, and scroll manually through online ads, and hope that we find them,'" Marinus president Emily Kennedy said in a video from the competition. The company's main product is Traffic Jam, a tool that uses facial recognition and other analytics to help law enforcement establish patterns and make connections across many trafficking websites with thousands of data points. Marinus estimates their software helped support 6,800 trafficking victims over a two-year span.
We are no longer just organ donors, but data donors! There is perhaps one word in today's techno-vocabulary that drives both interest and concern. It comes in all sizes and shapes and is as ubiquitous as life itself. Whether you know it or not, we manufacture data as a type of human exhaust that creates a physiologic portrait offering rich insights into wellness and disease. Today, we live at a unique point in human history where data are becoming the new currencies.
Have a beef with beef? A burgeoning veggie burger industry is using artificial intelligence to propose alternatives. Swiss group Firmenich, one of the world's leading flavour manufacturers, says recreating the sensation of beef relies not only on flavour, texture and colour, but also on how it responds to cooking and the way it feels in the mouth. "Finding a protein that resembles meat from a vegetable protein is highly complex," Emmanuel Butstraen, head of Firmenich's flavours unit, told AFP at the company's headquarters in Satigny outside Geneva. One of the toughest challenges is avoiding an unpleasant aftertaste.