Big Tech has a privacy problem. And now, just when their innovation, presence and pervasiveness could do some good, it’s getting in the way of success.
Could Big Tech help us contain the spread of COVID-19? Should we let them?
Big Tech has a privacy problem. And now, just when their innovation, presence and pervasiveness could do some good, it’s getting in the way of success.
Could Big Tech help us contain the spread of COVID-19? Should we let them?
The pandemic has presented data scientists and business intelligence managers with a thorny problem: how do you predict the future when all your models are built around assumptions from a pre-Covid world? Nothing is as it was. Which means most models are now essentially useless.
The information era is undergoing a reset that is as harrowing as it is fascinating. What relationships between datasets are now significant? And what sort of pitfalls does co-mingling them introduce?
Find out. Read my latest CIO Magazine column, Covid Times Call for Covid Measures, HERE.
Let’s say I had two pies and cut one of them in half. How many pies do I have now?
Of course, I’ve still got two pies. Though folks in the Wi-Fi business might try to convince you there are three.
The source of the confusion is what’s come to be known as tri-band Wi-Fi, a performance feature built into some whole-home wireless network platforms. Despite the name, the third “band” in the troika is actually a radio without its own spectrum. Just a slice of one of the others.
While the band it occupies may not be unique, the third radio’s role certainly is. Rather than serve network traffic like the other two, it’s dedicated to backhaul, which is the networking smarts that ensures the satellite works as a seamless extension to the Wi-Fi router.
But because the spectrum is already so congested, it can be difficult for the third radio to wring much additional performance out of this structure. That’s why tri-band – true tri-band, with three radios each communicating on different swaths of spectrum – could be so valuable for today’s Wi-Fi.
Moving the backhaul to a different frequency band would not only give the network more elbow room to manage Wi-Fi traffic. It would also open up precious spectrum for streaming, social media sharing, videoconferencing and other family networking activities.
Math Meets Marketing
In April, the FCC set aside the 6GHz band for Wi-Fi. Which means that Wi-Fi networks are about to get an actual third band. So by the end of the year, you’ll be able to buy tri-band Wi-Fi with, like, three bands!
That’s exciting. Because routers sporting a third band could offer the greatest boost in performance out of the box that your crowded home network has ever seen. And may ever see.
For the last 15 years, new Wi-Fi standards improved bandwidth and capacity on existing 2.4GHz and 5GHz spectrum. Even Wi-Fi 6, the groundbreaking new standard that just came to market last fall, was limited to the same congested bands. Until now.
The impact of 6GHz on the future of Wi-Fi cannot be overstated. With the new band, there is now more than three times the amount of Wi-Fi spectrum. Moreover, there’s nothing to bog down the network on 6GHz like we endure on the 2.4GHz and 5GHz bands. That’s because electronics with slow, primitive Wi-Fi technology that can back up traffic like a horse and carriage on a two-lane highway aren’t allowed on the 6GHz band. For more on that, be sure to check out my USA Today column, A New Wi-Fi for the New Normal.
Historically, many homeowners waited until the family amassed a few late-model smartphones and laptops before upgrading their router. But with 6GHz, the ability to manage existing 2.4GHz and 5GHz from the new band offers exciting potential for enhanced performance – even without any 6GHz devices on the network.
Future-Proof Your Wi-Fi 6E Network
With the addition of 6GHz, Wi-Fi companies finally have three bands to call their own. But don’t take that to mean the definition of tri-band is settled. If anything, the debate is rising to a whole new plane. So when you’re ready to shop for a Wi-Fi 6E router, here are a few things to keep in mind to ensure you find what you need.
In addition to the number of frequencies and the number of radios, there’s the number of spatial streams to consider. Spatial streams are a good proxy for how many connected devices the router can support on each band. But remember: the router needs at least three radios to simultaneously support multiple devices on all three bands.
It also depends on how well you’ve prepared your network for what’s to come. Toward that end, be sure to look for whole-home 6GHz routers built on platforms like Qualcomm’s second-generation Networkuntiling Pro series, which pushes the limits of the Wi-Fi 6 specification, like advanced 4K QAM, universal uplink/downlink traffic support across multi-user traffic tools like OFDMA spec’ed to support 37 simultaneous users, 8 simultaneous MU-MIMO users, and of course, tri-band Wi-Fi 6. . (For more on how to shop for 6GHz Wi-Fi, don’t miss this FeibusTech blog post.)
That’s making the most of tri-band – the kind on three bands, naturally.
The enterprise has been on a path to IT modernization for several years now, converting to cloud-based frameworks to make their networks more capable, flexible and agile. That way, any knowledge worker could set up shop anywhere, just as empowered, productive and secure as if they were right there at the office.
And then, suddenly, one fateful day in March, that ideal was no longer just a someday goal to shoot for in their long-term planning. Seemingly overnight, the hypothetical was now very real. Immediate. And the scope was far greater than anyone had provisioned for in their disaster plans.
Now, no one could go to the office. Any office anywhere. So everyone needed to be able to be productive from home. And it had to be ready by Friday.
Find out what happened, and what it means for the future of work in my latest CIO Magazine column HERE.
With so many of us working from home to stem the spread of COVID-19, the demands from doing-it-all-in-place are taking a toll on our wireless networks. As if on cue, the FCC approves an unprecedented expanse of new spectrum for our overstressed Wi-Fi.
Want to know how to shop for new Wi-Fi for the New Normal? Read more in our new FeibusTech blog post HERE.
The internet is listing.
It started about a month ago, when social isolation orders sent everyone home who could work or learn remotely. Which means all the activity that happened on the business side of the boat has come on over to the side where we eat and sleep and watch Netflix.
It’s added a new strain to our already overtaxed home networks. Older Wi-Fi wasn’t built to handle all the real-time videoconferencing traffic it must now manage. Even newer Wi-Fi can sometimes buckle under the weight of multiple videoconferencing applications, depending on how many older smartphones, tablets, PCs and smart home devices are clogging the system.
As if on cue, the FCC is expected this week to allocate a wide new swath of frequency in the 6GHz band for Wi-Fi. It’s the first time this century that the government is adding spectrum for Wi-Fi, and it will give equipped devices lots of elbow room for everything the whole family now needs to accomplish from home.
Find out more. Don’t miss my column in the Tech section of USA Today HERE.
Wearables have always been about trying to keep us healthy. Increasingly, they’re also being used to help detect when we’re sick.
And now, with the latest pandemic shuttering economies to help slow the virus spread, Apple Watches, Fitbits, Samsung Watches and other wearables are helping healthcare identify infected populations. Even more exciting, work is underway to help with early covid-19 detection.
Find out how, in my latest USA Today Tech column. And be healthy!
There are lots of ways to save money while working from home to help stem the spread of coronavirus, like losing the commute or making your lunch instead of going out. Working from home is also a great time to investigate which power-hungry appliances are running up your electric bill, and how to work around that.
We’ve cut our bill by two-thirds. This month, in fact, we just got the lowest power bill we’ve had since moving into the house 11 years ago! Yes, we added solar. But believe it or not solar is responsible for less than half our savings.
I can show you how. Read my latest column in the Tech section of USA Today.
If you wait long enough, as any good procrastinator knows, tasks sometimes drop off your to-do list on their own. Maybe a deadline has passed. Maybe your employer has changed direction or shifted priorities. Or maybe new technology has rendered the undertaking obsolete.
If you’re an IT administrator who’s been putting off learning Python to help automate tedious network checks, then that last reason just might apply to you. So hold off plunking down the deposit for that online class. Again.
Here’s why: Forward Networks has built its Network Query Engine, or NQE, right into its Forward Enterprise platform. Which means you can now write and execute queries in minutes. Without Python – or any other programming language, for that matter.
To write a query in the app, all you need to do is follow this basic, three-step process:
If your query executes successfully, it means that everything is as it should be. So you’re done. If it fails, you’ll get a list of the violations so you can go fix things. And once you’re finished, save the query so you can use it again.
You don’t need to keep track of firmware updates or operating system patches – or what any of that means for how the data is expressed. Because Forward Enterprise’s underlying model takes care of that for you.
“From a conceptual perspective, it sounds really simple,” Nikhil Handigol, Forward Networks co-founder, told me. “And it is – for our customers. But what we’ve accomplished, to get it all to work so seamlessly, that’s very difficult.”
Even before Forward Networks integrated NQE into Forward Enterprise, NQE APIs made it a lot easier to write checks in Python by normalizing results from thousands of switches, routers, firewalls and other network equipment from dozens of vendors. It also transformed the presentation of results, so they were actionable. Of course, there was still the matter of programming to consider.
In-app NQE did more than just obviate the need for programming skills. It’s the gift that keeps on giving.
Take late last year, for example.
In mid-December, less than a month after Forward Networks released in-app NQE, Cisco issued a field notice that obliterated many network operators’ holiday plans. The notice alerted administrators that a certificate bug associated with a dizzying array of Cisco network device configurations had to be fixed by New Year’s Day in order to avoid permanent hardware damage.
Procrastinators who waited until after Christmas to tackle the problem were rewarded. Because a couple of days before the year ended, Forward Networks posted an in-app NQE query on the company’s Github repository that network operators could use to identify which Cisco equipment on their networks needed attention.
“When we posted that query, customers were thrilled,” Fabrizio Maccioni, Forward Networks’ Director of Technical Marketing, explained. “They didn’t have much time to figure out which of their thousands of Cisco devices needed updating. And then suddenly, with our query, they didn’t need a lot of time.”
Unlikely as it may seem, the same artificial intelligence model that can dramatically reduce the time it takes researchers and environmentalists to monitor penguin populations may one day help pharmaceutical suppliers develop new drugs far faster and cheaper.
It’s true. In this wide-open-spaces era of artificial intelligence, pioneering AI developers like Gramener, which developed the computer vision model to count penguins, are laying foundational algorithms so that others can hit the ground running. And program’s like Intel’s AI Builders, which brings together ecosystem partners like data analytics firm Gramener to help accelerate AI adoption.
Gramener actually built the camera-trap model for Microsoft’s AI for Earth initiative. Counting penguins – or any species for that matter – in pictures can be a tricky proposition and a time-consuming ordeal. Just finding pictures with penguins in them can take an inordinate amount of time. And once you do, rain and snow, rocks and other objects – even penguins clustered together – can obscure the view and make counting challenging.
Ganes Kesari, Head of Analytics and a Gramener co-founder, told me that the firm’s computer vision models are also being used to identify and monitor other species, like salmon in Washington state and elephants in Africa. But it’s applicable for many other time-consuming counting tasks as well. Like during the drug discovery process, for example, the algorithm could be used to help pathologists count human cells of different shapes at different points in time to gauge effectiveness.
The same cross-application flexibility is true for other Gramener models, Kesari said. Like the firm’s “quality-of-life” application, which it developed to glean population conditions like health, wealth and even the prevalence of indoor plumbing by examining satellite imagery. Others could leverage this predictive AI to assess conditions, which could be very effective for eradicating disease-carrying insects, fighting forest fires and possibly even containing contagious new viruses like the COVID-19 coronavirus now traversing the globe.
For its part, Intel was able to speed training for the computer vision models by two-and-a-half times on second-generation Intel Xeon Scalable processors. That performance boost, achieved with Xeon-tuned open-source PyTorch machine-learning libraries, means it’s now practical to train the counting model without specialized graphics hardware. That could turn out to be a critical option for developers with limited resources to devote to AI – particularly those who already have datacenters full of Xeon Scalable hardware.
Indeed, the optimization could prove to be the difference between training the AI and counting by hand. For whatever it is they want to count.
Is there any hope left for retaining any privacy online? Could be, actually.
“Don’t panic yet,” says Casimir Wierzynski, Senior Director of AI Products at Intel. His team at Intel is among those at the forefront of something called privacy-preserving machine learning, a set of techniques that allow artificial intelligence to do what it does – without putting our privacy at risk in the process.
Sounds promising. But we’re not out of the woods yet. Privacy-preserving ML today takes a lot of computing horsepower, though Intel and others are working to lessen the impact. Learn more as Cas and I dig into this rising new discipline. Watch our interview in my latest Privacy Now episode HERE.
It’s not just the model number of the new Galaxy S20 family that’s soared. A quick scan of the specs reveal that they’ve skyrocketed as well.
Four cameras? 108 megapixels? 100x zoom? Why are the numbers so much higher than anything else on store shelves? Does it mean the S20’s camera system is really that much better?
Check out my latest column in the Tech section of USA Today. In it, I’ll help you untangle the numbers, and detail how this new generation of smartphone camera compares with competitive devices. And what to expect for the rest of this year and beyond.
The coronavirus may have snuffed the flagship Mobile World Congress this year. Show or no show, however, the technology that’s top of mind for enterprise IT decision-makers is intent-based networking. Cisco, which has been a leading advocate of intent-based networking, identified it as a top technology for 2020 and beyond in its latest Global Networking Trends Report.
Independent providers like Forward Networks, which supports hardware from Cisco as well as other vendors, are improving tools to help operators keep tabs on their networks.
Find out more. Check out my post on GSMA’s Mobile World Congress website.
The official new year begins at the stroke of midnight New Year’s Day, of course. But for the tech industry, the year invariably kicks off a few days later, with the start of CES in Las Vegas.
It was a busy event for FeibusTech, starting with my USA Today column, which called attention to the new generation of ultra-responsive laptops inspired by Intel’s Project Athena.
At the show, I moderated two panels. During the first, at the Digital Health Summit, I discussed the digital front door with Nancy Agee, President and CEO of the Carilion Clinic, and Anjali Kataria, CEO and Co-founder of Mytonomy.
In my second panel, at the Wearable Technology Summit, Elizabeth Bohlmann, VP Marketing at December Labs, Kathryn Fantauzzi, CEO and Co-Founder of Apollo Neuroscience, and I discussed the evolving wearable ecology, and what it takes to succeed in the 2020’s.
And last but surely not least, I introduced two Finalists at Last Gadget Standing. The first, the Orbi Wi-Fi 6 mesh networking platform, was a product I both tested and advocated for. (Had a chance to see my USA Today column on Wi-Fi 6? No? That’s okay. It’s not too late. See it HERE.)
I neither tested nor advocated for the second product. Nor am I in the market for one: the second-generation Lioness Smart Vibrator. At this point, you may be asking yourself why. Go ahead and click. You won’t be disappointed.
Your home broadband connection is faster than your cellular connection.
Don’t believe it? You’re not alone. Many people think the opposite is true. But it’s not because you’re not getting the bandwidth the cable company has promised. It’s because your Wi-Fi sucks.
Wi-Fi 6, which brings the traffic management features of cellular to your home network, is billed as the cure for bad Wi-Fi. Does it deliver as promised? In my latest USA Today Tech column, I evaluate Netgear’s Orbi Wi-Fi 6 to find out. Read that HERE.
It’s starting to look like 2019 will be remembered as the year people stopped asking, “what is intent-based networking?” and started saying “I need intent-based networking.”
In case you’re still asking, intent-based networking, or IBN, is a modern approach to managing modern networks, so they behave as intended. And as networks grow more diverse and complex, the need for employing such sophisticated, AI-fueled prediction and mathematical modeling techniques to head off problems and smooth expansion is climbing.
All of this helps explain why the IBN market is expected to grow more than 32 percent per year to surpass $4 billion by 2025. And the ecosystem is responding.
Whether by negotiating partnerships, gobbling up startups or creating it in-house, established networking companies are clamoring to add this increasingly critical capability to their portfolio. Investors see the budding activity, and want a stake. And, perhaps most importantly, customers want IBN in their toolbox.
Earlier this month, in fact, Forward Networks announced that a customer of the pioneer IBN provider became an investor as well. Over the past year, Goldman Sachs IT went all in on the award-winning Forward Networks across its entire network of more than 15,000 devices. In fact, the team was so impressed with Forward Enterprise, the company’s IBN platform, that the world’s second-largest investment bank decided to lead the startup’s $35 million Series C funding round.
Other network services providers also are looking to add IBN capabilities – by any means possible. In just the past several months, for example:
· Cloud services startup Zenlayer closed its Series B funding round, raising $30 million to fund expansion as well as R&D – primarily to develop in-house IBN capabilities
· VMWare announced that it was buying IBN provider Veriflow. Terms haven’t been disclosed
· Tata Consultancy Services, an IT services conglomerate based in India, revealed it will be building applications for its clients on top of Cisco Digital Network Architecture (Cisco DNA-C), one of the networking giant’s main IBN platforms.
In addition to Cisco, Huawei and Juniper have also added IBN capabilities to their portfolios in the past couple of years.
So, are you still asking what is intent-based networking? I didn’t think so!
Just how big is Wi-Fi 6? Will the new generation of wireless connectivity change everything? Or will it just provide what we’ve already gotten with previous generations, only faster?
Update Sept 9, 2019: Also, don’t miss my CIO column on the coming impact of Wi-Fi 6 on the enterprise.
Michal Kosinski says we already live in a post-privacy world. He should know. The Stanford Graduate School of Business professor studies what artificial intelligence can glean from what’s readily available online. His findings are fascinating. And scary.
Once a low-level concern buzzing around in the back of our minds as we shared our lives on social media, the question of just what is happening with our personal information online is now front and center. Consumers feel betrayed by the myriad digital properties that assured us they respected our privacy. But, as things turned out, didn’t.
How bad is the situation? Are the laws now taking shape enough to protect us? What else can we do?
Find out. Watch Privacy Now, my new twice-monthly interview series on privacy. And get the answers to these and other urgent privacy-minded questions. Plus, we’ve got a few surprises in store for you.
Note: Privacy Now is sponsored by FigLeaf, a privacy-first company built on the premise that when privacy is a choice, humanity is free.
I just posted the second episode today. Joining me is Pierre Valade, CEO of Jumbo, a privacy assistant now available on the iPhone. For the first episode, I discuss the state of privacy legislation with Justin Brookman, who heads privacy efforts at Consumer Report.
I hope you find them informative and enjoyable. And don’t hesitate to let us know who else you’d like me to interview – and what you’d like us to discuss. Privacy is one of the most pressing issues of our day, and we want to be sure we’re covering what you’re wondering about.
Two new gadget reviews posted this week on my YouTube channel. In the first, I evaluate PureCam, a full-featured and aggressively-priced new dash cam from PureGear. And in the second, I have a listen to Jabra’s new Elite 85h, its first foray into the premium over-ear headphone market. It goes toe-to-toe with the big names in this segment, and still has some nice surprises in store.
Check out both videos – and enjoy!
The number of homes in the US with multiple Amazon Alexa-enabled devices more than doubled last year. Which means more of us are getting the picture that the smart speakers don’t share their sandboxes very well.
Fortunately, help may be on the way. A recent acquisition suggests Amazon understands the problem – and is putting the technology in place to overcome it.
Find out how. Read my recent column in the Tech section of USA Today HERE.
In my interview with Rebecca Madsen, UnitedHealthcare’s Chief Consumer Officer, we discuss digital transformation and how the nation’s largest private health insurer makes it easier for members to navigate the system and stay engaged with their own health.
— Interview sponsored by Pypestream
At Intel’s broad #datacentric unveiling event in San Francisco last week, Siemens and Intel unveiled new artificial intelligence technology that results in real-time analysis of three-dimensional cardiac MRI data – without the need for costly, specialized hardware. The development could help make cardiac MRI accessible to far more patients.
We’ve spent much of the past few years watching in dismay as new reports shed light on just how the internet giants like Facebook and Google have been treating our personal data. Most of us want to take some control of our information, surveys reveal, but don’t know how.
Help may be on the way. This new brief from FeibusTech, produced in association with FigLeaf, builds a framework for what an online privacy service should look like, now and in the future. Read that HERE.
And for three things you can do now to start protecting your privacy, don’t miss my latest column in the Tech section of USA Today HERE.
As clinicians embrace remote patient monitoring,
emerging technologies lay the groundwork for a rich future.
Buoyed by a combination of rich product and service selection, as well as a clearer path to reimbursement for clinicians, remote patient monitoring made great strides in 2018 integrating into the healthcare workflow. And with critical new reimbursement codes in place, remote monitoring is poised to make a real dent in continuity of care in 2019.
Through it all, the intelligent home health gateway’s role as the centerpiece of choice for remote patient monitoring came more into focus at the HIMSS conference, held last week in Orlando. This new breed of intelligent edge hub is proving to be every bit as powerful and flexible as it is secure. Care providers are configuring kits around home health hubs to help keep patients healthier and more engaged, addressing a wider variety of conditions with a growing number of connected devices.
In the years ahead, the adaptability of home health gateways will serve the market well, as emerging technologies like 5G, voice UI and rich new sensor data will enhance existing capabilities and create new ones. FeibusTech expects myriad improvements to the insight clinicians will have at their disposal to keep patients healthier, minimize preventable readmissions and contain costs.
Clinicians don’t new, unmanaged data streams from remote monitoring. They want insight.
The operative word, of course, is insight. Which is why the success of future advances in remote monitoring technology rests, to a great degree, on artificial intelligence. Clinicians recognize the potential for better care. But they don’t want new, unmanaged data streams injected into patient records – primarily because they have trouble keeping up with the existing flow of data. AI can solve the conundrum by filtering the information stream, and flagging patients who may need clinicians’ attention.
5G: The Next Frontier
For all the hype surrounding 5G in the telecommunications space, many casual observers see it as simply a vehicle for faster mobile internet than 4G. Which is true, of course. But the real benefits of 5G extend well beyond that.
In particular, the manageability capabilities of 5G will allow for many times more devices to connect and communicate all at once on the network. As well, latencies are as much as 120 times lower than with 4G, which makes possible many new applications for healthcare and beyond.
Some believe that with such minute network delays, 5G will enable many remote applications, such as surgical procedures conducted remotely. Certainly, 5G’s low-latency communication will enable many new uses for remote patient monitoring as well. That said, FeibusTech doesn’t expect those new capabilities to become evident for several years, before next-generation networks are commonplace. At that point, the prevalence of very fast, ultra-dense, low-latency networks will stoke innovation – and a wave of new products and services will follow.
The Richness of Voice
In the meantime, voice-assist technology is primed and ready for integration into home health. The rapid proliferation of intelligent assistants like Amazon’s Alexa and Google Assistant is helping consumers grow comfortable with voice for simple command-and-control tasks. That bodes well for remote patient monitoring, which demands regular weight, blood pressure, glucose and other biometric measurements from patients with a wide range of comfort with technology. In addition to the marquis suppliers, many smaller companies are developing voice UIs for healthcare in general, and remote patient monitoring in particular.
Voice interaction also has the potential to unlock a veritable gold mine of health data. Several startups, in fact, are developing algorithms to detect early onset of conditions like Alzheimer’s and Parkinson’s.
Once in place, voice-enabled devices can also be used for sonar detection, to keep tabs on patients’ location and activity. They can even be used to monitor psychological markers for loneliness and depression, two key determinants for overall health as well as prognosis for recovery. Of course, for voice analysis to become an integral component of remote monitoring, providers will need to tackle privacy issues as well as overcome the technical and logistical challenges.
The Sixth Sens-or
There are other technologies emerging to monitor location and activity. Connected cameras are a great way to keep tabs on those who are rehabbing after a hospital stay, managing chronic conditions or aging in place. But although they’re powerful tools for clinicians, family members and other caregivers, many patients refuse to be monitored by surveillance video out of privacy concerns.
There are other passive monitoring technologies that offer substantially more privacy than cameras. In addition to sonar, companies are employing a wide swath of technologies for monitoring, including traditional Wi-Fi, millimeter wave, infrared – even radar. Of course, traditional motion, temperature and humidity sensors can also be used to supplement caregivers’ picture of the situation.
Wearables and other on-body devices have tremendous potential for assessing patients’ progress, though at this stage it is too early to tell whether suppliers will be able to successfully navigate the terrain from consumer to medical product. Some physicians dismiss wearables because they’re generally not as accurate as clinical devices, while others have been more open-minded and have, as a result, discovered creative ways to tap wearables data to assess patients’ condition.
Suppliers are getting more creative as well. Optical sensors found on many wearables to measure heartrate are not accurate enough for FDA clearance. But as some wearables makers have proven, the sensors are accurate enough to get clearance for algorithms that detect abnormalities like heart arrythmia. On detection, these wearables typically recommend users take an ECG with an FDA-approved device, which is subsequently transmitted to a clinician. In coming years, FeibusTech expects wearables to get cleared for more first-line-of-defense warnings, such as for high blood pressure or glucose levels.
Finally, insurance providers – which aren’t constrained by the same rigid definitions of accuracy as clinicians – are beginning to bundle wearables-based wellness programs into group coverages. Such payer programs could help garner acceptance of wearables from clinicians.
Home Health Gateways: Now and Into the Future
At the center of all this activity – today, and tomorrow – are home health hubs. Gateways offer an unrivaled combination of performance, flexibility and lock-down security. Care providers can easily tailor hubs with their own applications, building as much or as little of the interface into the device itself. And they can do so knowing that the platform is not only secure, but built around open standards – so their investment doesn’t lock them in.
In the coming years, care providers’ needs will undoubtedly be changing. They’ll likely rely more on video, as clinicians increasingly prescribe tutorials, diagnose and even treat patients remotely. And they likely rely on more data inputs, which means they’ll require fast, reliable connectivity along with the horsepower and smarts to keep things humming.
Going forward, the built-in smarts will become increasingly important. Most clinicians aren’t the least bit interested in having the EMR overrun by streams of remote patient data. So home health hubs will have to do more than simply collect and transmit data.
Indeed, for remote monitoring to be successful, care providers must have algorithms running on hubs with AI horsepower at the edge to make sense of the data before it ever reaches the EMR. Home health gateways will no doubt evolve to meet this need, as well.
As it happens, the over-stimulating city of Las Vegas during the bustling CES consumer electronics event turned out to be a great place to be for those in search of a good night’s sleep. The Sleep Tech section of exhibits hosted chillers, headbands – even smartphone apps – to help improve shuteye. The popular section grew more than 20 percent over 2018, while overall square footage on the show floor was flat.
Check out my latest column in the Tech section of USA Today for a rundown of the latest sleep tech.
Wearables today are smarter. They have better battery life. They give better advice.
So if you’re on the millions who years ago stuffed their old fitness tracker into the sock drawer, then it may be time to take another look. In my latest column for the Tech section of USA Today, I look at three new wearables: the Apple Watch Series 4, the Fitbit Charge 3 and Samsung’s new Galaxy Watch. Is one of them right for you?
The future’s long seemed rosy for remote patient monitoring as a great way to expand the footprint of care in this country and around the globe. And while long-term prospects are still huge, the segment is really starting to take off in the here and now.
That was certainly the vibe at the Connected Health Conference in Boston last week. But you can see for yourself. I produced a suite of videos at the show on behalf of Intel. Once you see them, I think you’ll agree that remote monitoring is here NOW – and the Intel Health Application Platform is a growing part of it.
Reid Oakes, HP’s head of healthcare. Reid and I discuss agile care, the importance of data for quality care, and HP’s collaboration with Intel to make that all possible.
Jennifer Esposito, GM of Intel’s Health & Life Sciences Group. Last day of the show. I caught up with Jennifer on the show floor to discuss the big takeaways from Connected Health.
Intel and Aventyn share results of a promising new study. Filmed on the show floor and on location at Dignity Health’s Mercy Gilbert Medical Center in Arizona, the pilot gives us a glimpse of what’s possible with remote patient monitoring.
Enrique Estrada, Director of Strategic Solutions, Care Innovations. At Connected Health, Care Innovations unveiled a kit that enables a new level of flexibility to respond to patients’ changing conditions. It’s based on iHAP, Intel’s home health hub.
Barry Reinhold, President & CTO, LNI (Lamprey Networks). The underlying standards are critical to give providers the ability to mix and match personal health devices and ship the data into the electronic medical records. Barry explains why Continua and FHIR are so important to the underlying framework – and why it’s a big deal that Intel’s health application platform supports both.