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The Future of Health care needs Doctors and Technologists to work well together
In a new report - The Truth About Doctors - Covid 19 Edition, McCann Health identifies four key ways how health care technology has changed since 2016. It highlights the the role of the health care industry in leveraging these changes to carve a new way forward In the past, technology has been gradually revolutionizing health care. While patients have adopted it whole heartedly, It has received push back from various quarters of care providers. Many think it may be having less-positive effects for physicians, some of whom eye it as a threat to doctoring. However, come Covid-19, and the world simultaneously looked up to technology and the medical community in more or less an equal measure. They wanted Tech to help us navigate the pandemic and the medical community to get us out of it, and the need for both to work together and amplify became clearer with each day since the pandemic started As the world moves towards a period of renewal, it will be increasingly important that technology plays a complementary role in care, not just supporting doctoring but super-powering it. Lets look at the 4 main focus areas mentioned in the report. Technology is redefining the where of care Home defines most individuals’ physical, mental, and social health. Until recently, home has also been a place where doctors are absent. That changed with Covid-19 and the rapid growth of telemedicine If marketers and others within the health care industry can help doctors acclimatize to the new where of care — supporting them to embrace the home as an extension of their domain rather than something outside of it — health can be elevated in a more holistic level. Technology can help cultivate inter-professional collaboration During the pandemic, by using social media and messaging platforms like Twitter and WhatsApp, doctors with diverse backgrounds were able to pool knowledge and emotionally support each other in the collective effort to fight Covid-19. They collaborated in new ways with allied health care professionals, government, and industry, sparking a reimagining of the health ecosystem. The challenge moving forward is giving this organic way of working across care teams and borders a structure to make it scalable. How can the health care system evolve so an expert in peripheral neuropathy in Australia can collaborate with a startup in Belgium? On a more local level, how can health care systems ensure that the different health professionals involved in a patient’s care work together? Secure, shared platforms can nurture a sense of belonging and create a new kind of community for doctors — a “care tribe” that has the power to connect perspectives and passions to advance the experience of care. Technology can foster continuity and ‘contiguity’ There is a new willingness to take control over personal well-being in light of the pandemic. However this can only go so far in a health care system where time is limited and resources are fragmented. With the proliferation of sensors there may be no better time to apply the quantifiable self to achieve more personalized care. However, new self-monitoring technologies must be integrated with the full health care ecosystem to make personal health care easier and more seamless, rather than adding to the confusion. Even if technology provides access to more health information, it does not necessarily follow that patients or health care providers will understand it. Health care providers must be taught the skills to not only help patients decipher their health information but to advance their care by proactively identifying and addressing their health risks. With this comes a need to ensure that work is being done in a way that overcomes health inequities rather than heightens them. Technology can care for the carers Covid-19 has shown that, instead of posing an existential threat to doctors, technology may be a lifeline for them. By assessing patients before a consult, tech platforms can allow doctors to channel their energy to the problems that need it most. In complicated therapy areas such as oncology, it can ease their load through supporting diagnosis, treatment, and prognosis. In the day-to-day practice of caregiving, technology can enrich relationships by enabling doctors to focus on the human art of medicine. Combined with the flexibility of video consultations and the panoramic perspective of integrated systems, technology can give doctors their time back to practice care on their own terms. It’s easy to think that health care is behind the curve when it comes to embracing technology. Covid-19 has shown that this just isn’t the case. When it comes to the relationship between doctors and technology, the pandemic has been an epiphany. Instead of displacing doctors, technology has the power to help them provide better care, supercharging the humanity and empathy that lies at the heart of medicine. Technology has a role in medicine, especially in the service of care. along with my own insights and thoughts
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The Internet of Things (IoT) is a network of physical objects that can share electronic information when gathered together. They include sensors that have the ability to track information about the human body or industrial machines that transmit the production process data to the nearby sensors. The IoT is all over and is used in smart homes and even retail. It also plays a crucial role in healthcare. The Internet of Things (IoT) is changing healthcare in different ways, including improving the care patients get, better results from treatments, and reducing the costs of treatments for patients. Patients get to connect better with the healthcare providers, and their performance is also enhanced. The main benefits it has brought about to the healthcare industry include: - Real-time monitoring of patients remotely, which reduces the costs incurred during readmissions and doctor visits.
- Errors are much less likely to occur with IoT devices. The data plays an essential role in ensuring effective decision-making, and all the operations in the healthcare industry are functioning smoothly. This helps reduce the overall number of errors.
- The quality of treatment received is excellent since physicians make decisions from evidence-based information. Hence there’s complete transparency.
- Equipment and drugs are better managed. It has always been a significant challenge to manage drugs and equipment in healthcare. However, with devices being connected, the drugs and equipment are utilized and managed efficiently, which helps with cost reduction.
- Diagnosis is much faster and more accurate. A patient can be diagnosed more efficiently due to consistent remote monitoring. Real-time data is collected, and it helps with the diagnosis of a vast number of different diseases. They are diagnosed at an early stage before they worsen or even before the disease develops fully.
IoT devices are revolutionizing how healthcare is delivered and monitored. We guess that we still have only seen the tip of the iceberg. In the years to come, the question will not be if we are connected but how we will be connected and protect our privacy: digital tattoos, smartwatches, smart lenses, or smart pills being just some of the possibilities. The Internet of Things and the multitude of connected devices it offers is on a path to disrupt how healthcare is carried out. Discover how by reading the original article at https://digitalhealthcentral.com/2021/05/07/the-benefits-of-internet-of-things-in-healthcare/
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Suki, the artificial intelligence (AI) voice assistant for healthcare professionals, launched in May to praise from health-tech innovators who hoped “Alexa for doctors” might slash electronic health record (EHR) documentation time.
If the company’s early numbers are any indication, that wish might come true.
Suki said recently that doctors who use the digital assistant have seen a 70 percent drop in time spent writing and filing medical notes. That figure is 10 percentage points better than the preliminary results of Suki’s pilot. The finding could prove powerful, as research has suggested that physicians burn almost two hours in the EHR for every hour of patient interaction. Suki has processed more than 12,000 patient encounters in the real world, handling 1,000 per week, according to the company. This steady stream of real-world data is poised to strengthen the technology’s machine-learning algorithm, which was trained on 250,000 patient encounters before it went live.
So far, Suki has integrated with three EHR systems. The company said that number is slated to rise.
Using voice commands, the technology pens a “clinically accurate” note that it then sends to a doctor’s EHR system.
Over the past several years, innovators across healthcare have advocated for a clinical voice assistant. But the challenges are many, from precise listening and documentation to satisfying cybersecurity concerns.
Although a clinical AI assistant might be far off for many providers and health systems, Suki and similar technologies could help solve a mounting problem in medicine: physician burnout.
Time spent in the EHR has been linked to physician burnout. On the conference circuit and in the opinion pages, doctor after doctor describes the stresses of medical note documentation — and how these demands eat up time and detract from care delivery.
Can Suki help improve workflows? It seems so. But can it go a step beyond and help physicians overcome burnout? Maybe. The answer to that question will depend on adoption rates and how Suki performs at scale.
Will Suki become a part of the clinic of tomorrow? Lets wait and see read the unedited story at https://www.hcanews.com/news/alexa-for-doctors-claims-70-percent-reduction-in-ehr-time
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The Ministry of Health and the Ghana Health Service has engaged the services of Lightwave ehealthcare Services (LWEHS) to roll out an integrated health care solution that includes a Centralized data center with a 24 hour recovery unit to serve as an infrastructure platform for a patient-centered health care solution. The solution will network all health facilities including agencies of the Ministry of Health, provide electronic Medical records for care seekers, enable and facilitate tele medicine, and develop a a real time bio-surveillance system – which will support the fight against disease outbreaks and the spread of communicable disease. The system which integrates with the current National Health Insurance Scheme (NHIS) enables the development of a patient management system – this will streamline the Admission, discharge and transfer process of healthcare. Chief Technology Officer of Lightwave Mr Thomas Mac Scofield, said the project was a culmination of years of planning and working with the MOH to bring ehealth solutions to the public health care industry. Mr Thomas Mac Scofield revealed to Ghanahealthnest.com that, the cost of the project is covered by the government through the MoH and GHS thus will not require patients or subscribers to pay for it. Nrip Nihalani consulting director with LightWave revealed to Ghanahealthnest.com that the project follows Ghana’s Data privacy and HIPAA laws to ensure its safety. He added that, the time was right for Ghana as most countries have gone ahead and made significant mistakes. “Ghana is at the absolute time with the technologies, the budgets, the preparedness all meeting together to launch its e-health”, Nrip intoned. more at : http://ghanahealthnest.com/nationwide-paperless-ehealth-project-commenced-ghana/
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Although the Internet of Things in healthcare is not yet in widespread use throughout the industry, Indranil "Neal" Ganguly predicts that, in the next five years, there will be a massive increase in IoT for healthcare, "both on the clinical side as well as on the back end. Ganguly explained how hospitals are using, or could use, IoT for healthcare in three areas: IoT for inventory management Hospitals are not using IoT to track inventory in as widespread a manner as would be desirable, Ganguly said. He added that healthcare could learn a few lessons from retail. IoT for healthcare workflow optimization Although the concept of RFID has been out there for 5 to 10 years, Ganguly said adoption of this technology hasn't taken hold as rapidly as he would like IoT for medical device integration Ganguly said that when it comes to IoT for medical device integration, the focus is more on the consumer end. "People are looking at how to integrate things like the Fitbits and other fitness devices to bring patient provided data into the cycle of care delivery," Ganguly said. more at : http://internetofthingsagenda.techtarget.com/feature/IoT-for-healthcare-Three-use-cases
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The U.S. military has chosen two universities to lead a program to develop brain implants to restore memory to veterans who have suffered brain injuries, officials said at a news conference Tuesday.
The Restoring Active Memory (RAM) program is a project of the Defense Advanced Research Projects Agency (DARPA), the branch of the U.S. Department of Defense charged with developing next-generation technologies for the military. The initiative aims to develop wireless, fully implantable "neuroprosthetics" for service members suffering from traumatic brain injury or illness, DARPA Program Manager Justin Sanchez said at the news conference.
DARPA has selected two teams of researchers to develop the implants: The University of California, Los Angeles (UCLA) and the University of Pennsylvania, in Philadelphia. Currently, few treatments for TBI-related memory loss exist, but DARPA is trying to change that, Sanchez said. Deep brain stimulation, the use of implanted electrodes to deliver electrical signals to specific parts of the brain, has already demonstrated success in treating Parkinson's disease and other chronic brain conditions. Building on these advances, "we're developing new neuroprosthetics to bridge the gap in an injured brain to restore memory function," Sanchez said.
The UCLA team will focus on studying memory processes in the entorhinal cortex, an area of the brain known as the gateway of memory formation. Researchers will stimulate and record from neurons in patients with epilepsy who already have brain implants as part of their monitoring and treatment. The researchers will also develop computer models of how to stimulate the brain to re-establish memory function.
The University of Pennsylvania team will focus more on modeling how brain circuits work together more broadly, especially those in the brain's frontal cortex, an area involved in the formation of long-term memories. The university is collaborating with Minneapolis-based biomedical device company Medtronic to develop a memory prosthesis system.
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The Oral-B SmartSeries 7000 can do plenty of things that normal toothbrushes can't.
The 7000 is about the same size and weight as any other fancy electric toothbrush, and is compatible with other old Oral-B brush heads.
It's handsome enough, but really: it's a toothbrush, not a fashion statement.
Anyway, as soon as the toothbrush and your phone have forged a connection over Bluetooth, firing up the 7000 will start a countdown to oral cleanliness in the companion smartphone app.
You (or your dentist, if you're the responsible type) can add and tweak those timers as desired, though the default timer will have you scrubbing different areas of your mouth for two minutes.
In case the sheer boredom of brushing your teeth for that long is too much to bear, you can also thumb through a stream of news articles or local weather reports (no, really) to help you hang in there. Turns out, just furiously mashing those bristles into your teeth isn't great either, so the timer will blink red if you're pressing too hard.
Oh, but the fun doesn't end once you're gleaming. The 7000 sends over your personal brushing data to the app, where it's turned into pretty graphs and accolades for prolonged brushing. Your dentist can specify certain areas you should focus on while brushing too, which appear during the countdown to keep you moving in all the right ways.
And if you don't have a dentist to meet regularly? The app will find and list local ones.
more at http://www.engadget.com/2014/02/25/oral-b-bluetoothbrush-smartseries-7000-hands-on/
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Batteries made from pigments found in cuttlefish ink may lead to edible, dissolvable power sources for new kinds of medical devices. Researchers led by Carnegie Mellon University materials scientist Christopher Bettinger demonstrated the new battery. “Instead of lithium and toxic electrolytes that work really well but aren’t biocompatible, we chose simple materials of biological origin,” Bettinger says.
Conventional battery materials are not safe inside the body unless they’re encased in bulky protective cases that must eventually be surgically removed. Electronics that can either be swallowed or implanted in the body without causing harm could monitor wound healing and disease progression, release drugs, and enable more sensitive neural and cardiovascular sensors and stimulators.
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A new, noninvasive method for measuring brain blood flow with light has been developed by biomedical engineers and neurologists at the University of California, Davis, and used to detect brain activation. The new method, functional interferometric diffusing wave spectroscopy, or fiDWS, promises to be cheaper than existing technology and could be used for assessing brain injuries, or in neuroscience research. The human brain makes up 2% of our body weight but takes 15% to 20% of blood flow from the heart. Measuring cerebral blood flow is important for diagnosing strokes, and for predicting secondary damage in subarachnoid hemorrhages or traumatic brain injuries. Doctors who provide neurological intensive care, would also like to monitor a patient's recovery by imaging brain blood flow and oxygenation. Existing technology is expensive and cannot be applied continuously or at the bedside. For example, current techniques to image cerebral blood flow require expensive MRI or computed tomography scanners. There are light-based technologies, such as near-infrared spectroscopy, but these also have drawbacks in accuracy. The new method takes advantage of the fact that near-infrared light can penetrate through body tissues. If you shine a near-infrared laser on someone's forehead, the light will be scattered many times by tissue, including blood cells. By picking up the fluctuation signal of the light that finds its way back out of the skull and scalp, you can get information about blood flow inside the brain. read more at https://medicalxpress.com/news/2021-05-brain-blood.html
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Millions of hearts fail each year. Why can’t we replace them? The Bivacor heart contains a single titanium chamber with a rotor that spins at its center, sending blood out to the body Bivacor is in a transitional stage. It has never sold a product and is still run entirely on venture capital, angel investment, and government grants. Its hearts have been implanted in sheep and calves, which have survived for months, occasionally jogging on treadmills; it’s preparing to submit an application to the Food and Drug Administration for permission to perform human implantations. To cross the animal-human threshold is to enter a harsh regulatory environment. In the early days of artificial-heart research, a team could implant a device in a dying person on an emergency basis—as a last-ditch effort to save his life—and see how it functioned. Ethicists were uneasy, but progress was swift. Today, such experimentation is prohibited: a heart’s design must be locked in place and approved before a clinical trial can begin; the trial may take years, and, if it reveals that the heart isn’t good enough, the process must start again. Bivacor is currently deciding which features will be included in the clinical trial of its heart. A wrong decision would likely sink the company; almost certainly, there wouldn’t be a second attempt on the summit. read this fabulous article at https://www.newyorker.com/magazine/2021/03/08/how-to-build-an-artificial-heart?utm_source=pocket-newtab-intl-en
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It might not be long before algorithms routinely save lives—as long as doctors are willing to put ever more trust in machines. An algorithm that spots heart arrhythmia shows how AI will revolutionize medicine—but patients must trust machines with their lives. A team of researchers at Stanford University, led by Andrew Ng, a prominent AI researcher and an adjunct professor there, has shown that a machine-learning model can identify heart arrhythmias from an electrocardiogram (ECG) better than an expert. The automated approach could prove important to everyday medical treatment by making the diagnosis of potentially deadly heartbeat irregularities more reliable. It could also make quality care more readily available in areas where resources are scarce. The work is also just the latest sign of how machine learning seems likely to revolutionize medicine. In recent years, researchers have shown that machine-learning techniques can be used to spot all sorts of ailments, including, for example, breast cancer, skin cancer, and eye disease from medical images. more at : https://www.technologyreview.com/s/608234/the-machines-are-getting-ready-to-play-doctor/
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Faulty genes are major triggers and drivers of cancer, and the more knowledge we have about them individually, the better we can predict, track, and treat the disease in a way that is specific to individual patients' particular genetic promoters. To do this, researchers need models that are as realistic as possible.Cell and animal models help, but they do not meet the need at the tissue level. Now, using tissue engineering techniques, researchers have created a human colon model that allows them to identify and track the genes that drive colorectal cancer from initial abnormal mass to invasive tumor. more at http://www.medicalnewstoday.com/articles/311599.php
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New technology developed by Howard Hughes Medical Institute (HHMI) researchers makes it possible to test for current and past infections with any known human virus by analyzing a single drop of a person's blood. The method, called VirScan, is an efficient alternative to existing diagnostics that test for specific viruses one at a time, according to the scientists.
With VirScan, researchers can run a single test to determine which viruses have infected an individual, rather than limiting their analysis to particular viruses.
That unbiased approach could uncover unexpected factors affecting individual patients' health, and also expands opportunities to analyze and compare viral infections in large populations. The analysis reportedly can be performed for about $25 per blood sample. “We've developed a screening methodology to basically look back in time in people's sera and see what viruses they have experienced,” says Stephen J. Elledge, an HHMI investigator at Brigham and Women's Hospital who led an international team that developed VirScan. “Instead of testing for one individual virus at a time, which is labor intensive, we can assay all of these at once. It's one-stop shopping.”
VirScan works by screening the blood for antibodies against any of the 206 species of viruses known to infect humans. The immune system produces pathogen-specific antibodies when it encounters a virus for the first time, and it can continue to make those antibodies for years or decades after it clears an infection. That means VirScan not only identifies viral infections that the immune system is actively fighting, but also provides a history of an individual's past infections.
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The central theme of personalized medicine is the premise that an individual’s unique physiologic characteristics play a significant role in both disease vulnerability and in response to specific therapies.
The major goals of personalized medicine are therefore to predict an individual’s susceptibility to developing an illness, achieve accurate diagnosis, and optimize the most efficient and favorable response to treatment. The goal of achieving personalized medicine in psychiatry is a laudable one, because its attainment should be associated with a marked reduction in morbidity and mortality.
In this review, we summarize an illustrative selection of studies that are laying the foundation towards personalizing medicine in major depressive disorder, bipolar disorder, and schizophrenia. In addition, we present emerging applications that are likely to advance personalized medicine in psychiatry, with an emphasis on novel biomarkers and neuroimaging.
Excerpt From the Conclusion:
The prospect of personalized medicine in psychiatry more or less reflects ideals still largely unrealized. Currently, the field is at the information-gathering infancy stage.
The greatest progress can be expected at the intersections of the categories described above, such as gene × environment and genes × biomarkers, which will poise psychiatry to make biological system-based evaluations. Furthermore, some of the emerging applications, including imaging genomics, strengthen our conviction that the future for personalized medicine is highly promising.
more at http://www.biomedcentral.com/1741-7015/11/132
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Industry observers like myself have often painted the competitive mHealth landscape with a brush that wages computer manufacturer Dell and software behemoth Microsoft versus Apple--the reigning mobile healthcare champion. However, the real battle for the heart, mind and soul of the still-emerging mHealth market places Apple and search engine giant Google squarely in the commercial trenches.
Apple's iPhone and iPad have set the standard for other mobile devices in healthcare. Doctors, in particular, simply love their iPhones and iPads. But, now, the mHealth war between Apple and Google appears to be entering a new battlefield, namely wearable devices.
At the center of Apple's efforts in this area is its long-awaited iWatch, a wristwatch-like computing device with smartphone/tablet and health/activity tracking capabilities. Reportedly, iWatch includes a pedometer for counting steps and sensors for monitoring health-related data such as heart rate.
Apple is growing its team of medical sensor specialists by hiring some of the world's premiere experts in mobile medical technologies. Presumably, this expertise will be heavily leveraged by Apple in their development of the iWatch or some other device.
Simultaneously, Google has been working on its much-heralded Google Glass, high-tech glasses which contain a heads-up display, camera and a microphone, and can ostensibly support mobile health apps directly on the device. Google Glass, developed by the company's secretive Google X lab, has strong potential for healthcare, particularly in the ER where physicians could use the glasses to scroll through lab and radiology results and in the OR providing surgeons with hands-free access to critical clinical information.
In addition, earlier this month, Google unveiled its contact lenses, which use a tiny sensor and wireless transmitter, to monitor and measure glucose levels in tears, potentially replacing the self-administered blood tests from finger pricks that diabetics must endure on a daily basis. Not surprisingly, Google employees recently met with U.S. Food and Drug Administration officials at FDA headquarters who regulate eye devices.
Who will be first to market with these wearable devices--Apple or Google--remains to be seen. What is certain, however, is that the two technology leaders with track records for building strong brands will no doubt dazzle the marketplace with innovative, leading-edge products that put sensor-based devices in the hands of consumers and medical professionals. That kind of competition in mHealth can only serve to benefit us all as this nascent industry moves forward
More at http://www.fiercemobilehealthcare.com/story/apple-vs-google-mhealth-face/2014-01-27
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One of the most significant achievements in the field of biomedical engineering is the creation of DNA nanobots. These molecular robots made of DNA are designed to deliver medicines to specific cells that require healing and to target harmful cells, killing them without harming the healthy ones.
Unlike commonly used drugs and supplements, nanobots have a measure of intelligence and can conveniently move through the body in smart ways.
How are these nanobots produced? Scientists use DNA, breaking up the components and rearranging them into shapes such as barrels to carry medicine. DNA naturally has a tendency to react in certain ways to outside stimuli, and its components assemble according to natural attraction and repulsion. These reactions are manipulated to make the nanobots and to program them.
Nanobots are free-floating structures that move through the bloodstream and remain neutral until they encounter a particular site that requires assistance. With the help of molecular cues programmed into them, they can identify a precise location and perform the necessary actions.
Treatment with nanobots could prove to be especially effective against cancer. With chemotherapy treatment, healthy cells are killed along with the cancerous cells. Nanobots can detect the cancerous cells, however, and only release medicine upon encountering them.
Read more: http://www.theepochtimes.com/n3/390772-dna-nanobots-the-future-of-modern-medicine/#ixzz2oWJdpY00
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A deeper look at five technologies that are currently advancing exponentially and radically reshaping healthcare. In other words, for the long suffering, there is plenty of hope to go around.
3-D printing
3D printing is already making its presence felt in medical device world. Ninety-five percent of all hearing aids are today 3D printed. This tech is also pushing into prosthetics. There are custom-made back braces for scoliosis patients and casts for broken bones (perforated with holes so people can finally scratch through their casts) and, in the latest development, 3D printed facial prosthetics (noses, ears, etc.).
Artificial Intelligence
It started with IBM’s Watson. After besting humans on Jeopardy back in 2011, Big Blue sent their thinking machine to medical school. Now loaded up with everything from journal articles to medical textbooks to actual information culled from patient interviews, the supercomputer has remerged as an incredibly robust diagnostic aid that is already being used for everything from training medical students to managing the treatment of lung cancer.
Brain- Computer Interfaces We’ve been hearing about BCIs for a little while now. The tech originated out of the desire to help paraplegics and quadriplegics control computer cursors with only their brains. Of course, these developments will continue apace, bringing far more liberation to the disabled then ever before possible, but the bigger news is in BCIs that can control robotic limbs or even restore function to paralyzed limbs.
Robotics:
The robots are coming, the robots are coming, the robots are, well, here. Whether we’re talking the da Vinci Surgical System—which has performed over 20,000 operations since its 2000 debut—or newer developments like the nanobots swimming through our bloodstream and scraping plaque from our arteries, robots are already deep into the healthcare space. Point-of-Care Diagnostics
In medicine, one of the major promises of technology is patient empowerment—especially when it comes to diagnostics. Suddenly, patients no longer have to go to the doctor’s office or hospital. Instead, in the comfort of your home, a system called the Tricorder will analyze data, diagnose the problem, and send that information to a doctor who, quite possibly, can treat you remotely. In the developed world, where doctors make diagnostic errors 10 percent of the time, this will make a significant difference in quality-of-care and significantly reduce the roughly $55 billion spent annually on the malpractice system) In the developing world, this will make healthcare far more accessible.
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Covid19's biggest learning has been that technology has a role to play in taking healthcare jump upwards to the next level. The collaboration between technologists and medical professionals holds much promise for the world. We have always said at Plus91, lets all work together today to make a better world, for tomorrow we may not get a chance. Collaborate! After all, the ultimate goal is the same for everyone - building a world of healthier and happier people, disease free and safe.