30.01.2018, 04:05 MedGizmo
DigiHealthBrief: MedGizmo Selection of Major Digital Health News for January 29, 2018
MedGizmo Daily Presentation of News & Developments In Digital Health Technologies & Wearables. Here is our selection for January 29, 2018
SELECTED NEWS DEVELOPMENTS
Clinical trial technology has come a long way from when site administrators used a touch-tone keypad on a phone to randomize patients and order drugs. But with so many new features, it’s more challenging than ever for hospital decision makers to choose the right technology for clinical trials running at their facilities. Here, we’ll share key information on what’s changing, to help with these decisions.
• Randomization and Trial Supply Management (RTSM) technology will become more predictive.
• Drug pooling using RTSM technology will grow in popularity.
• Interactive Web Response Systems (IWRS) will come equipped with more patient engagement tools.
• Electronic clinical outcomes assessments (eCOA) will become a more important part of clinical trial design
Will radiologists be out of jobs in the next few years? Can artificial intelligence (AI) systems and devices replace doctors as diagnosticians? What are the ethical considerations? These were some of the key questions debated and discussed at the ‘AI in Healthcare’ conference organized by Insight Exchange Network at the Boston Harvard Club on January 18th and 19th.
The group from Cornell led by Prof. Minglin Ma from the Department of Biological and Environmental Engineering in the College of Agriculture and Life Sciences has developed a method for implanting hundreds of insulin-producing cells into a diabetic patient.
The new tool at Cornell overcomes the routine problems by protecting the to-be-implanted cells in a thin hydrogel coating, which are in turn attached to a polymer thread. The best part of this approach is that these transplants can be easily replaced or removed once they have outlived their usefulness. This is also crucial to avoid tumor formation from these foreign cells.
A new augment reality technology will let doctors go a step beyond a normal exam and take a look under their patients’ skin. Researchers at the University of Alberta have developed a device called ProjectDR, which lets doctors display CT scans and MRI data directly onto a patient’s body. The images will also move when the patient moves.
Medical insurance is a huge topic. It was talked about continually during the presidential election in the United States. However, we have not seen any significant changes yet. 2018 promises changes. However, experts warn us not to expect all of the changes to be positive.
With a focus on personal healthcare technology, Arab Health 2018, the healthcare exhibition for medical and trade professionals started off on Monday.
Exhibitors displayed ground-breaking products, including the real-time, image-guided surgical robot from Johns Hopkins University that was recently used to insert screws into a patient's spine.
Other highlights such as the augmented reality system developed by Novarad, the world's first robotic 3,600 breast thermography system from Cura, and the artificial intelligence enabled Somatom Edge Plus CT scanner by Siemens Healthineers, highlighted recent cutting edge solutions in the sector.
David Randall from the University of Sheffield's Department of Infection, Immunity and Cardiovascular Disease (IICD) has enabled clinicians to travel inside a patient's colon, viewing its mucosal surface with an Oculus Rift virtual reality headset. This allows them to explore the colon in real 3D rather than via the 2D representation offered by conventional PC monitors. Reporting involves examination of both the CT data and virtual colonoscopy to reach diagnosis.
In the newly released, non-peer-reviewed research paper, study investigators at the tech giant used de-identified data from collected from 216,221 patients over 11 years from both the University of California San Francisco Medical Center and the University of Chicago Medicine hospital to create a system looking to predict medical outcomes for hospital patients. Google claims that the results, which have not yet been validated by independent sources, showed significant improvements over traditional models, including the ability to predict patient deaths one to two days before current methods are able to, according to the study.
#MEDTECH #DIGITALMED #MEDDEVICE #WEARABLETECH #WEARABLES
Japanese robotics company Cyberdyne has received approval from the Food and Drug Administration (FDA) to make its lower-body exoskeleton, known as Hybrid Assisted Limb or HAL, available to US-based patients. The Medical HAL is known as the world’s first robotic medical device, but this marketing clearance by the FDA shows that the therapeutic effects of the device has been acknowledged by the FDA. Medical HAL is already marketed as a medical device in Japan and in the EU, and this marketing clearance allows the device to reach patients in the three largest markets for advanced medicine.
Apple is the latest tech player jumping into healthcare. They bring with them hopes of empowering the consumer, by providing them access to more of their health record. You can read about it from any of a number of sources, but let’s explore the fundamentals of this announcement.
This Caterpillar-Like Robot Could Improve Drug Delivery
Researchers at the Max Planck Institute for Intelligent Systems have developed a tiny robot that can walk, jump, crawl, roll, and swim through the body. The research, published in Nature, found that the robot can navigate through obstacles, potentially in the body, offering a major advantage over current small-scale robots. So far, the robot has been tested on obstacle courses set up in the lab and the next goal is to test it for targeted drug delivery in the human body.
Let’s try to unpack blockchain, one question at a time and understand its implications for the healthcare industry.
Here are five ways blockchain can benefit healthcare:
1.) Single, longitudinal patient records
2.) Master patient indices
3.) Claims adjudication
4.) Supply chain management
#MENTALHEALTH #NEUROSCIENCE #NEURO #NEUROFEEDBACK #FUNCTIONALNEUROLOGY #NEUROTECHNOLOGY
A telemedicine clinical decision support system (CDSS) developed in India for use by non-psychiatrists in rural areas was able to diagnose mental health disorders with good validity and reliability. The CDSS had high sensitivity, meaning that it was able to identify nearly all of those with one of the 18 mental health disorders included in the CDSS. There were a high number of false positives, but few false negatives.
30.01.2018, 04:05 MedGizmo
Image by MedGizmo