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Hospitals can save billions by improving operational efficiencies; Qventus just raised millions to help

A lot of money — about $140 billion — is lost every year in the U.S. healthcare system thanks to inefficient management of basic internal operations, according to a study from the Journal of the American Medical Association.

While there are many factors that contribute to the woeful state of healthcare in the U.S., with greed chief among them, the 2012 study points to one area where hospitals have nothing to lose and literally billions to gain by improving their patient flows.

The problem, according to executives and investors in the startup Qventus, is that hospitals can’t invest in new infrastructure to streamline the process that’s able to work with technology systems that are in some cases decades old — and with an already overtaxed professional staff. 

That’s why the founders of Qventus decided to develop a software-based service that throws out dashboards and analytics tools and replaces it with a machine learning-enhanced series of prescriptions for hospital staff to follow when presented with certain conditions.

Qventus’ co-founder and chief executive Mudit Garg started working with hospitals 10 years ago and found the experience “eye-opening.”

“There are lots and lots of people who really really care about giving the best care to every patient, but it depends on a heroic effort from all of those individuals,” Garg said. “It depended on some amazing manager going above and beyond and doing some diving catch to make things work.”

As a software engineer, Garg thought there was a simple solution to the problem — applying data to make processes run more effectively.

In 2012 the company started out with a series of dashboards and data management tools to provide visibility to the hospital administrators and operators about what was happening in their healthcare facilities. But, as Garg soon discovered, when doctors and nurses get busy, they don’t love a dashboard.

From the basic analytics, Garg and his team worked to make the data more predictive — based on historical data about patient flows, the system would send out notifications about how many patients a facility could expect to come in at almost any time of day.

But even the predictive information wasn’t useful enough for the hospitals to act on, so Garg and company went back to the drawing board.

What they finally came up with was a solution that used the data and predictive capabilities to start suggesting potential recipes for dealing with situations in hospitals. Rather than saying that a certain number of patients were likely to be admitted to the hospital, the software suggests actions for addressing the likely scenarios that could occur.

For instance, if there are certain times when the hospital is getting busier, nurses can start discharging patients in anticipation of the need for new capacity in an ICU, Garg said.

Photo courtesy of Paul Burns

That product, some six years in the making, has garnered the attention of a number of top investors in the healthcare space. Mayfield Fund and Norwest Venture Partners led the company’s first round, and Qventus managed to snag a new $30 million round from return investors and new lead investor, Bessemer Venture Partners. Strategic backer New York Presbyterian Ventures, the investment arm of the famed New York hospital system, also participated.

So far, Qventus has raised $43 million for its service.

As a result of the deal, Stephen Kraus, a partner at Bessemer, will take a seat on the company’s board of directors.

“Hospitals are under tremendous pressure to increase efficiency, improve margins and enhance patient experience, all while reducing the burden on frontline teams, and they currently lack tools to use data to achieve operational productivity gains,” said Kraus, in a statement. 

For Kraus, the application of artificial intelligence to operations is just as transformative for a healthcare system, as its clinical use cases.

We’ve been looking at this space broadly… AI and ML to improve healthcare… image interpretation, pathology slide interpretation… that’s all going to take a longer time because healthcare is slow to adapt.” said Kraus. “The barriers to adoption in healthcare is frankly the physicians themselves…the average primary care doc is seeing 12 to 20 patients a day… they barely want to adopt their [electronic medical health records]… The idea that they’re going to get comfortable with some neural network or black box technology to change their clinical workflow vs. Qventus which is clinical workflow to strip out cost… That’s lower hanging fruit.”

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Lost in Space is coming back for a second season

Netflix today announced that it will release a second season of Lost in Space, the big-budget sci-fi program that debuted in April.

More Danger, Will Robinson. Lost in Space Season 2 is coming. pic.twitter.com/SBEbJaKUIi

— Lost In Space (@lostinspacetv) May 14, 2018

The series is a revamp of the original show from the 1960s. Season One, which included 10 episodes, follows the Robinson family on their journey from Earth to Alpha Centauri. Along the way, they stumble across extraterrestrial life and a wide array of life-or-death situations.

Many of the elements from the original show have been reimagined, not least of which being the role of Mr. Smith going to Parker Posey, who plays the delightfully wicked villain.

We reviewed the show on the Original Content podcast in this episode, and struggled to find any meaningful flaws.

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NES Classic loaded with classic manga games raises hopes for other special editions

Japanese gamers and manga aficionados and every combination thereof will get a treat this summer with the release of a NES Classic Edition loaded with games from the pages of Weekly Jump. The beloved manga mag is celebrating its 50th anniversary and this solid gold Famicom is part of the festivities.

There’s basically no chance this Jump-themed NES will get a release in the US — first because hardly any Americans will have read any of these manga (with a couple exceptions) and second because even fewer will have played the Famicom games associated with them.

Familiar… and yet…

That said, this nurtures the hope inside me that we will at some point see other themed NES Classics; the original has, of course, a fantastic collection — but there are dozens more games I would have loved to see on there.

You can hack the thing pretty easily and put half the entire NES library on it, but Nintendo’s official versions will have been tested and perhaps even tweaked to make sure they run perfectly (though admittedly emulation problems aren’t common for NES games).

More importantly it’s possible these hypothetical themed consoles may come with new accessories that I desperately need, like a NES Advantage, Zapper (not sure how it would work), or NES Max. Perhaps even a Power Glove?

In the meantime, at least if you missed the chance to buy one the first time around, you can grab one come the end of June.

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A free web tool can predict your hair, skin, and eye color from DNA data

A new tool by researchers at the School of Science at IUPUI and Erasmus MC University Medical Center Rotterdam in the Netherlands can predict your hair, skin, and eye color from your DNA data. The system, which is essentially a web app that can accept DNA sequences, compares known color phenotypes to known data and tells you the probabilities of each color.

The app, called HIrisPlex-S, can tell colors from even small amounts of DNA like that left at a crime scene.

“We have previously provided law enforcement and anthropologists with DNA tools for eye color and for combined eye and hair color, but skin color has been more difficult,” said forensic geneticist Susan Walsh from IUPUI. “Importantly, we are directly predicting actual skin color divided into five subtypes — very pale, pale, intermediate, dark and dark to black – using DNA markers from the genes that determine an individual’s skin coloration. This is not the same as identifying genetic ancestry. You might say it’s more similar to specifying a paint color in a hardware store rather than denoting race or ethnicity. If anyone asks an eyewitness what they saw, the majority of time they mention hair color and skin color. What we are doing is using genetics to take an objective look at what they saw.”

You can actually try the web app here but be warned: it’s not exactly the most user friendly app on the web. It requires you to know specific alleles for your test subject or upload a set of alleles in a csv file. It is, however, free and looks like it could wildly useful in law enforcement and figuring out what your hair color was before you dyed it purple.

“With our new HIrisPlex-S system, for the first time, forensic geneticists and genetic anthropologists are able to simultaneously generate eye, hair and skin color information from a DNA sample, including DNA of the low quality and quantity often found in forensic casework and anthropological studies,” said Manfred Kayser of Erasmus MC.

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AWS introduces 1-click Lambda functions app for IoT

When Amazon introduced AWS Lambda in 2015, the notion of serverless computing was relatively unknown. It enables developers to deliver software without having to manage a server to do it. Instead, Amazon manages it all and the underlying infrastructure only comes into play when an event triggers a requirement. Today, the company released an app in the iOS App Store called AWS IoT 1-Click to bring that notion a step further.

The 1-click part of the name may be a bit optimistic, but the app is designed to give developers even quicker access to Lambda event triggers. These are designed specifically for simple single-purpose devices like a badge reader or a button. When you press the button, you could be connected to customer service or maintenance or whatever makes sense for the given scenario.

One particularly good example from Amazon is the Dash Button. These are simple buttons that users push to reorder goods like laundry detergent or toilet paper. Pushing the button connects to the device to the internet via the home or business’s WiFi and sends a signal to the vendor to order the product in the pre-configured amount. AWS IoT 1-Click extends this capability to any developers, so long as it is on a supported device.

To use the new feature, you need to enter your existing account information. You configure your WiFi and you can choose from a pre-configured list of devices and Lambda functions for the given device. Supported devices in this early release include AWS IoT Enterprise Button, a commercialized version of the Dash button and the AT&T LTE-M Button.

Once you select a device, you define the project to trigger a Lambda function, or send an SMS or email, as you prefer. Choose Lambda for an event trigger, then touch Next to move to the configuration screen where you configure the trigger action. For instance, if pushing the button triggers a call to IT from the conference room, the trigger would send a page to IT that there was a call for help in the given conference room.

Finally, choose the appropriate Lambda function, which should work correctly based on your configuration information.

All of this obviously requires more than one click and probably involves some testing and reconfiguring to make sure you’ve entered everything correctly, but the idea of having an app to create simple Lambda functions could help people with non-programming background configure buttons with simple functions with some training on the configuration process.

It’s worth noting that the service is still in Preview, so you can download the app today, but you have to apply to participate at this time.

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Apple’s App Store redesign improved app discovery, report finds

When Apple introduced its completely redesigned App Store last fall, one of its goals was to improve app discovery by placing a larger emphasis on editorial content – including things like “app of the day” picks, lists, how-to’s and even interviews with app developers, among other things. Now, a new study from Sensor Tower reveals those changes appear to have been working.

According to Sensor Tower’s findings, more apps are being discovered by way of browsing the App Store following the redesign launched in September.

Before, browse-driven downloads accounted for around 10 percent of all downloads. With the new App Store, they’ve grown to more than 15 percent. And that increase has held steady into 2018, even as the initial excitement around the App Store revamp has worn off.

Despite the growth in app discovery by browsing, searching for app by typing keywords into the search box is still, by far, the primary way consumers are finding and downloading new apps. Today, search accounts for 65 percent of downloads – well ahead of browse, referrals, or other methods.

Sensor Tower based its findings on data collected on app downloads between May 2017 and April 2018, it says.

The report also delved into the differences between how consumers discover apps and games.

As it turns out, browsing plays a much more significant role in game discovery than it does for non-game apps. Only 56 percent of game downloads came from search, compared with 69 percent for non-games. Meanwhile, browse contributed to 24 percent of game downloads, compared to just 9 percent of non-game downloads.

What this seems to indicate is that iOS users are turning to the App Store and its editorial recommendations in greater numbers to learn about what new game to try next. Plus, the fact that games can now include a video preview, and labels like “Editor’s Choice” are better highlighted in the new App Store also likely help people get a better sense of which ones to install, as they browse.

Sensor Tower’s findings about game downloads line up with research released last month where it found that games that were featured as the “Game of the Day” could see their downloads increase by 802 percent, compared to the week prior to being featured. Apps, by comparison, saw boosts of 685 percent.

The new report’s findings are good news for Apple which had a sizable challenge to tackle with its App Store redesign. Its app marketplace had grown almost over-crowded over the years. And even after the big app cleanup, it still stands at over 2 million apps. Finding a way to better introduce favorites and newcomers to iOS users at this scale was a tall order, but the growth in apps discovered by way of browsing indicates Apple has seen some success on this front. 

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Xage introduces fingerprinting to protect industrial IoT devices

As old-school industries like oil and gas increasingly network entities like oil platforms, they become more vulnerable to hacking attacks that were impossible when they were stand-alone. That requires a new approach to security and Xage (pronounced Zage), a security startup that launched last year thinks it has the answer with a concept called ‘fingerprinting’ combined with the blockchain.

“Each individual fingerprint tries to reflect as much information as possible about a device or controller,” Duncan Greatwood, Xage’s CEO explained. They do this by storing configuration data from each device and controller on the network. That includes the hardware type, the software that’s installed on it, the CPU ID, the storage ID and so forth.

If someone were to try to inject malware into one of these controllers, the fingerprint identification would notice a change and shut it down until human technicians could figure out if it’s a legitimate change or not.

Whither blockchain?

You may be wondering where the blockchain comes into this, but imagine a honey pot of these fingerprints were stored in a conventional database. If that database were compromised, it would mean hackers could have access to a company’s entire store of fingerprints, completely neutering that idea. That’s where the blockchain comes in.

Greatwood says it serves multiple purposes to prevent such a scenario from happening. For starters, it takes away that centralized honey pot. It also provides a means of authentication making it impossible to insert a fake fingerprint without explicit permission to do so.

But he says that Xage takes one more precaution unrelated to the blockchain to allow for legitimate updates to the controller. “We have a digital replica (twin) of the system we keep in the cloud, so if someone is changing the software or plans to change it on a device or controller, we will pre-calculate what the new fingerprint will be before we update the controller,” he said. That will allow them to understand when there is a sanctioned update happening and not an external threat agent trying to mimic one.

Checks and balances

In this way they check the validity of every fingerprint and have checks and balances every step of the way. If the updated fingerprint matches the cloud replica, they can be reasonably assured that it’s authentic. If it doesn’t, he says they assume the fingerprint might have been hacked and shut it down for further investigation by the customer.

While this sounds like a complex way of protecting this infrastructure, Greatwood points out that these devices and controllers tend to be fairly simple in terms of their configuration, not like the complexities involved in managing security on a network of workstations with many possible access points for hackers.

The irony here is that these companies are networking their devices to simplify maintenance, but in doing so they have created a new set of issues. “It’s a very interesting problem. They are adopting IoT, so they don’t have to do [so many] truck rolls. They want that network capability, but then the risk of hacking is greater because it only takes one hack to get access to thousands of controllers,” he explained.

In case you are thinking they may be overstating the actual problem of oil rigs and other industrial targets getting hacked, a Department of Homeland Security report released in March suggests that the energy sector has been an area of interest for nation-state hackers in recent years.

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Uber lets you rate mid-ride before you forget feedback

“Last year was pretty hard, I’m not gonna lie,” says Peter Deng, Uber’s head of rider experience. But as part of new CEO Dara Khosrowshahi’s push to rebrand Uber around safety, Deng says, “we’ve seen the company shift to more listening.”

That focus on hearing users’ concerns prompted today’s change. Have a bad Uber ride when you’re busy and you might neglect to rate the driver or accidentally rush through giving them 5 stars. Forcing users to wait until a ride ends to provide feedback deprives them of a sense of control, while decreasing the number of accurate data points Uber has to optimize its service.

I had just this experience last month, leading me to tweet that Uber should let us rate trips mid-ride:

Uber & Lyft could let us rate drivers mid-ride, but only apply the ratings 5 minutes after a ride ends in case something goes better/worse before the end of the trip.

— Josh Constine (@JoshConstine) April 25, 2018

Uber apparently felt similarly, so it’s making an update. Starting today, Uber users can rate their trip mid-ride, providing a star rating with categorized and written feedback, plus a compliment or tip at any time instead of having to wait for the trip to end. “Every day 15 million people take a ride on Uber. If you can capture incrementally more and better feedback . . . we’re going to use that feedback to make the service better,” says Deng. Lyft still won’t let you rate until a ride is over.

Specifically, the data will be used to “recognize top-quality drivers . . . through a new program launching in June,” Uber tells me. “We’re going to be celebrating the drivers that provide really awesome service,” Deng says, though he declined to say whether that celebration will include financial rewards, access to extra driver perks or just a pat on the back.

But Uber will also now use the feedback options that appear when you give a less-than-perfect rating to tune the technology on its back end. So that way, if you say that the pickup was the issue, it might be classified as a “PLE – pickup location error,” and that data gets routed to the team that improves exactly where drivers are told to scoop you up. To ensure there’s no tension between you and the driver, Uber won’t share your feedback with them anonymously until the ride ends.

I asked if reminding users to buckle their seat belts would be in that Safety Center and Uber tells me it’s now planning to add info about buckling up. It’s been a personal quest of mine to dispel the myth that professionally driven vehicles are invulnerable to accidents. That idea, propagated by heavy-duty Ford Crown Victoria yellow cabs piloted by life-long drivers in cities they know doesn’t hold up, given Ubers are often lightweight hybrids often operating in places less familiar to the driver. 

The launch follows the unveiling of Uber’s new in-app Safety Center last month that gives users access to insurance info, riding tips and an emergency 911 button. After a year of culture and legal issues, Uber needs to recruit users who deleted it or check an alternative first when they need transportation.

Enhanced safety and feedback could earn their respect. As competition for ride sharing heats up around the world, all the apps will be seeking ways to differentiate. They’re already battling for faster pick-ups and better routing algorithms. But helping riders feel like their complaints are heard and addressed could start to work some dents out of Uber’s public image.

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Nintendo’s NES Classic will return to U.S. retail stores on June 29

Rejoice Nintendo fans: the Japanese gaming giant is bringing the NES Classic back to retail stores this summer.

Nintendo said the console will go on sale again across the U.S. on June 29, with the SNES Classic also set to be available until the end of this year. It isn’t clear what the situation will be outside of the U.S., however.

#NESClassic Edition will return to stores on June 29! This system and the #SNESClassic Edition system are expected to be available through the end of the year. https://t.co/LclbG5m4ta pic.twitter.com/1PcXBI5qJC

— Nintendo of America (@NintendoAmerica) May 14, 2018

The news is welcome but not entirely a surprise. Nintendo said last September that it would bring both consoles — which were originally supposed to be one-offs — back in 2018 following a positive reception and strong sales.

The company originally killed off the hit NES Classic Edition with an announcement last April and it had originally said that the SNES version would not live beyond 2017. The NES system was a surprise hit last year, but the SNES version was even more popular. Nintendo previously revealed that it sold more on launch day in August than the NES sold in the whole of last year.

“Fans have shown their unbridled enthusiasm for these Classic Edition systems, so Nintendo is working to put many more of them on store shelves,” Nintendo said last year.

The two classic systems are part of a new focus for Nintendo, which includes the top-selling Switch console and its first moves into mobile gaming via Pokémon GO and Animal Crossing: Pocket Camp. The company recently clocked impressive financial returns — including a 500 percent jump in annual profit — as the strategy begins to pay off.

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Lenovo teases a slick, all-screen smartphone that doesn’t have a notch

Lenovo has teased a new arrival that might top Apple’s iPhone X in a bid to deliver a true all-screen smartphone.

Apple’s iPhone X goes very close but for a tiny bezel and its distinctive notch, but Lenovo’s Z5 seems like it might go a step further, according to a teaser sketch (above) shared by Lenovo VP Chang Cheng on Weibo that was first noted by CNET.

The device is due in June and Cheng claimed it is the result of “four technological breakthroughs” and “18 patented technologies,” but he didn’t provide further details.

The executive previously shared a slice of the design — see right — on Weibo, with a claim that it boasts a 95 percent screen-to-body ratio.

Indeed, the image appears to show a device without a top screen notch à la the iPhone X. Where Lenovo will put the front-facing camera, mic, sensors and other components isn’t clear right now.

A number of Android phone-makers have copied Apple’s design fairly shamelessly. That’s ironic given that Apple was widely derided when it first unveiled the phone.

Nonetheless, the device has sold well and that’s captured the attention of Huawei, Andy Rubin’s Essential, Asus and others who have embraced the notch. The design is so common now that Google even moved the clock in Android P to make space for the notch.

Time will tell what Lenovo adds to the conversation. The company is in dire need of a hit phone — it trails the likes of Xiaomi, Oppo, Vivo and Huawei on home soil in China — and the hype on the Z5 is certainly enough to raise hope.

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