6 months and some long grindy hours later, I was banned from just about every poker room in the world - albeit, I had a pretty good chunk of money laying around once it was all said and done.Ok, yes it's not that exciting, but when you read what I'm about to tell you - you might re-consider.Small businesses can't afford the upkeep of internet marketing.It's true, and I would manage campaigns for businesses all the time that would yield results, but none that justified the amount of time that you have to spend studying dead times, open slots and creating deals accordingly.I'm starting this from scratch, and I don't even have a blog setup yet on the website.. so I suppose this should be interesting!IDEA - /4Resources /10 CostReachHomerun %TotalEmail blasting10.0010.0010.003.0033.00Social media blitz6.0010.006.003.0025.00Reddit & Targeted forum posting5.0010.006.003.0024.00Following up with old leads5.0010.004.004.0023.00Buying solo ads8.004.008.003.0023.00Associations4.007.008.004.0023.00Sending out pamphlets8.004.008.003.0023.00Re marketing8.007.003.004.0022.00Targeted magazines / e-newsletters of associations5.005.008.004.0022.00LinkedIN Advertising7.005.008.002.0022.00Develop a huge email list3.005.0010.004.0022.00Kijiji ads4.0010.005.002.0021.00Do webinars weekly4.0010.005.002.0021.00Start affiliate marketing1.0010.007.003.0021.000-1000 Customers log4.0010.003.003.0020.00Get written about in major news sources1.0010.007.002.0020.00Custom emails Trust Pilot4.005.007.004.0020.00Media buys8.001.008.003.0020.00Do SEO / Build back links6.006.004.003.0019.00Ebook white paper3.0010.004.002.0019.00Offering free SEO to companies who sign up4.006.005.004.0019.00Meet ups1.0010.003.004.0018.00List shit on Flippa to get traffic3.007.006.002.0018.00Hire students to do local marketing4.005.005.003.0017.00Hiring people to cold call lists4.006.005.002.0017.00Paying to get people to write integrated articles about us5.002.007.003.0017.00Integrate with health sites1.001.0010.004.0016.00Creating multiple brands2.003.006.004.0015.00Facebook Advertising4.003.006.002.0015.00Conferences1.001.007.003.0012.00Create video content1.002.003.002.008.00.
Computers and software get faster and less expensive at a dramatic rate.In same early 2013 press release in which they bragged about their wonderful existing EMR, quoted above, they announced they were buying a new one:1 new EMR contractA close reading of the press release leaves one wondering why they had to have a new one: the touted wonders of the new system line up pretty well with the wonders of their award-winning existing system.But then, less than a month after this press release, HHC issued an RFP for extensive additional services.I got the distinct impression from reading the press release about getting Epic that the $302 million covered everything.Few organizations are as smart as the US Coast Guard, and decide that paper is just fine.It s just an application of the proven methods described in my books and summarized in various posts on this blog.
I should have a simple app that contains all my medical and health records, whether generated by me, a doctor s office or a hospital.I should be able to have that data encrypted and backed up to the cloud, from which I should be able to access it myself or grant access to it by others.The medical establishment has it backwardsToday, of course, all my records are scattered about, some in each medical place I ve visited.Even software from the same vendor that are installed in different institutions don t talk with each other!They can barely keep their own systems working, much less get them to intercommunicate.11 billionThe contract ended up being awarded to Cerner for over $4 billion, at least that s what they re saying now.
If whoever designed the website had tried to make it difficult for patients to access their records, they couldn t have done much better.I finally managed to get a PDF for an encounter.In a sensible, modern system, I would have received an email or text asking me if this information was correct, and asking me to correct it if it s not.In my case, it makes little difference, since I m on top of things.In principle I think it s bad, until I consider all the inconsistent and incomplete piles of crap data that s sitting out there in EMR s. Then I think of the lack of interchange as being more like keeping the bad data in isolation so it doesn t wreck anything.The data will become accurate, complete and high-quality when the systems are built correctly, using modern techniques, and when they interact with all concerned parties — including patients!!
There is no doubt that the money is being spent.One thing they are certainly doing is making doctors spend less time with patients and more time with computer screens.Sounds good, but I suspect that no true science or even engineering has been done here.How do we know things will be better in the gold-plated EMR future?After all, EMR s can t possibly be a goal — who cares about EMR s except EMR vendors?I m NOT saying we should forget this new-fangled computer thing.
What we d like is to have our personal EMR app log into the provider s EMR, download the data, let us fix it and complete it, and then upload the corrected and completed results.In fact, supported by legions of government bureaucrats, they insist that our data is fully available to us.Northwell healthI got all sorts of documents from them in the course of the interaction, and went through them to find out how I could get my friend s information from the EMR.I showed elsewhere how crappy the data tends to be, and how paper-reliant even places with fancy EMR s are.You d think they d want all the data they have to be correct and complete, so they can do Big Data and get the much-vaunted benefits of the tens-of-billions-of-dollars-worth of EMR s we ve bought, right?Forget it.
EMR interchange has been a major goal of the tens of billions of dollars that have been spent to buy and install EMR s. The theory is that making it easy for the next medical provider you see to have access to your complete health record will improve health.But the current methods for achieving integration are not working.It s easy to understand why they will NEVER work, and what can be done to achieve the same result.Not to be mysterious about it, here s how: forget EMR interchange.It s not working because it s hard and none of the people who build and control EMR s really want it to work.Instead, enable a new generation of personal EMR s. It s literally hundreds of times easier.
All of the Note-owner does not use the supplied stylus even though it has been one of the produktseriens main characteristics since its inception five years ago.Some of the looks on the other hand, the so-called S-Pen which is one of the biggest reasons to get a Note.Samsung has enhanced the stylus in several respects compared with the predecessor the Galaxy Note 5.the Promontory is about 60 % smaller with a diameter of 0.7 mm and tryckkänsligheten has been increased from 2048 to 4096 points.According to Samsung offers the new S-Pen feel of a real pen to a greater extent than its predecessor.Just like the device in general is the stylus is water resistant and IP68-certified, thanks to the EMR technology electromagnetic resonance .
Amazon announced the release of Elastic MapReduce EMR 5.0.0 today, which includes, among other things, support for 16 open source Hadoop projects.As AWS continues to hone its various tools to help customers manage myriad enterprise functions in the cloud, this latest one is aimed at data scientists and other interested parties looking to manage big data projects with Hadoop.For those of you unfamiliar with Hadoop, It s fundamentally infrastructure software for storing and processing large data sets, according to Mike Gualtieri, a Forrester analyst who covers this space.It s different from conventional data processing software in that it distributes both the storage and processing over a set of nodes which can scale to the thousands , providing a much more efficient system for processing large amounts of data.What s more, it s a tremendously popular open source Apache project with a really cute mascot and a massive ecosystem around it, which is continually adding projects to help fill in holes and requirements.Hadoop is made up of these various projects to help users with the tasks they need to undertake when managing large sets of data, such as Hive, a data warehouse for Hadoop, and HBase, a scalable, distributed database — both of which are supported in AWS.
For most Olympic athletes, the biggest fear is not failing to win a gold medal but falling victim to a last-minute injury that destroys years of hard work and endless hours of practice.But doctors working with big data and cloud-based software are competing to make those heart-breaking injuries less likely.The 2016 Olympic Games in Rio de Janeiro, for example, is using a cloud-based version of GE Healthcare s Centricity Practice Solutions CPS as the official electronic medical records EMR keeper.Moving these records into the cloud eliminates the need to ship pallets of paper around the globe in order to monitor athletes health.The technology is available at all medical posts throughout the games and at the central clinic in the Olympic Village where doctors can deliver more complex care.To win the Olympics you have to be the best in the world on a particular day, at a particular time, in your sport, says Bill Moreau, the U.S. Olympic Committee s managing director of sports medicine.But, can you imagine training for 20 years and showing up sick or hurt when it could have been prevented?
Considering the recent federal government initiative offering over $4.4 billion in EHR Incentive Program payments (which you may be eligible for too, along with some 76.000 more providers), there shouldn’t be much else holding you back from adopting an EHR/EMR system at your facility.The physical space saved by digitalizing all medical records.Significant reduction of medical errors and improved results in patient management.EMR Software Development: Tips To Get It Right From The StartImplementing an EMR system in your organization is a long and often rocky pass.We always expect our clients to have a detailed brief outlining different software modules and clear product expectations.
Open source big data software company Cloudera wants to do more.About one month ago, Tom Reilly, the company s chief executive, approached Intel with a proposal requesting $1 billion in new money, a source familiar with the matter told VentureBeat.The companies have a history together; in 2014 Intel announced a major partnership with and investment in Cloudera.The plan is for Cloudera to build out the necessary data center infrastructure for new cloud services that the company could then provide to customers.Cloudera wants to grow into its true destiny of being an actual cloud service provider, the source told VentureBeat.The source did not know if Intel had given Cloudera the money it requested.Should Cloudera get the money it s seeking, the company would more directly go after public cloud market leader Amazon Web Services AWS , which pushes Elastic MapReduce EMR , a distribution of the Hadoop open source software for storing, processing, and analyzing lots of different kinds of data.The Microsoft Azure public cloud also has its own Hadoop distribution.A Cloudera cloud would not be challenging AWS and Azure on all fronts — Cloudera is only interested in hosting the big data workloads, the source said.But it could still threaten startups offering cloud software known as Hadoop as a service, such as Altiscale which SAP is acquiring and Qubole.Cloudera is especially eager to win big deals worth tens of millions of dollars, the source said.The timing is right.
Two of NYC s largest and most renowned hospital systems have collaborated to produce a true breakthrough in EMR interchange!This is no joke: while at this early stage there are minor physical assists, the data being exchanged is fully electronic!This provides a model that can be replicated everywhere, even by systems that are less resource-rich than New York s finest.Amazingly, I can t find any press releases or news stories about this game-changing break-through.But I know it s true and the systems are operational, because I ve experienced it myself.My prior dissections of this issue here, here, here and here are now rendered obsolete.
The $550 Yoga Book facilitates those practices by helping users produce and save that content digitally, taking fuller advantage of the stylus- and touch-friendly Windows 10 than any other device has.The Yoga Book s touch surface consists of Gorilla Glass with a matte-painted, anti-glare finish.Tap a small pencil icon along the top margin, near the hinge, to toggle between the backlit Halo Keyboard which I ll describe later and the Create Pad drawing surface, which offers 2,048 levels of pressure sensitivity.An electromagnetic resonance EMR film underneath the glass, driven by Wacom s Feel technology, lets the Create Pad work with the Yoga Book s included Real Pen a $40 value .You use a hole in the top of the pen cap to pull out one nib and shimmy in another.I m thinking of those four-color ballpoint pens, where you can extend or retract a color with a click, and wondering whether Lenovo could do something like that instead.
At its re:Invent user conference in Las Vegas today, public cloud infrastructure provider Amazon Web Services AWS announced the launch of AWS Glue, a tool for automatically running jobs for cleaning up data from multiple sources and getting it all ready for analysis in other tools, like business intelligence BI software.This type of work is typically known as extract-transform-load, or ETL.Companies including Informatica and Talend offer software for it.Now AWS has a cloud service for it.It s been possible to use AWS infrastructure to do ETL work, with services like EMR Elastic Map Reduce .The other big public clouds have Hadoop-based tools for this sort of thing, too.But with AWS Glue it will be easier.And with the help of JDBC connectors, it will be able to connect with data in on-premises services, making AWS Glue another proof point that AWS is interested in working with organizations that still retain their own on-premises data center infrastructure.When data changes at their original sources, jobs can be triggered again to make sure you always have access to the latest information, Amazon vice president and chief technology officer Werner Vogels said.AWS Glue simplifies and automates the difficult and time consuming data discovery, conversion, mapping, and job scheduling tasks, as AWS wrote in a blog post.
Loaded: 0%Progress: 0%00:00The ScenePlayMute00:00Current Time 0:00/Duration Time 0:00FullscreenNeed TextNo compatible source was found for this video.Advertisement 0:30Lenovo Yoga Book convertible laptop review Ars TechnicashareplaysaveI am a skip button.The Yoga Book also comes with Lenovo's Real Pen and a magnetic pad of paper, allowing you to draw both on the keyboard itself and on paper to digitize notes and artwork.Its 10.1-inch size, 1.5-pound weight, and 9.6mm thickness when closed makes it an incredibly light and portable device.It is a convertible, however when I first unboxed the Yoga Book, its appearance struck me so much that it was hard to place it in the convertible category in my head.There are no physical buttons or keys on it; when you power up the Yoga Book, the backlight illuminates the outlines of traditional keys and the trackpad, almost like drawing lines in the sand with light.You can buy the Yoga Book running Windows 10 or Android 6.0 sorry, no Nougat yet , and the price varies slightly in each model: the Android version is $499 while the Windows version is $549.
If you are already aware of the potential of Big Data you obviously will agree on its promise for the healthcare sector. Actually, healthcare as an industry consists of several disparate systems that produce a wide variety of voluminous data. Can you imagine any hospital these days without a lab and a clinic without its EMR, CRM, and ERP systems? Well, this diversity of systems and their handling of data is where we can visualize the promise of Big Data. Let us have a deeper look into the state of data reality and the question of Big Data integration in the healthcare sector.
A chip that can diagnose a potentially fatal condition faster than the best lab in the country, a camera that can see so deeply into a pill it can tell if its molecular structure has more in common with a real or counterfeit tablet, and a system that can help identify if a patient has a mental illness just from the words they use: IBM is betting that a mix of AI and new hardware can make all three possible within the coming years.IBM's research labs are already working on turning these concepts into fully-fledged healthcare tools, combining the company's existing machine learning and artificial intelligence systems with newer kit including revamped silicon and millimetre wave phased array sensors.By combining such information with high-powered cameras and other sensors, hyperimaging could allow clinicians to see into, say, a tablet at a molecular level, to determine whether it's a safe pharmaceutical or one of the medications that make up the multibillion-dollar counterfeit drugs market.While hyperimaging may be coming to a self-driving car near you soon -- well, in the next five years or so -- and a pharmacist near you a couple of years later than that, there's no reason why even further out we might be able to turn our smartphones to the same task too.Eventually, should the necessary sensors and imaging kit be incorporated into phones, then hyperimaging could be used to help people with allergies and illness like coeliac disease to scan their food for traces of substances that trigger their condition.Take Alzheimer's disease, for example: the neurobiological changes that cause signs of the disease will have done their work before any of those signs are evident in the patient.
Databricks is bringing its cloud service for storing and processing data to Microsoft s Azure public cloud later this year, VentureBeat has learned.Databricks cloud service, which was introduced in 2014 and is based on the Apache Spark open-source big data software, currently only operates out of Amazon Web Services AWS , the market-leading public cloud.But in 2015, AWS started promoting the Spark support in its EMR cloud service, which was originally conceived as a managed version of the Hadoop open-source big data software.Spark is considered a more performant alternative to Hadoop.Databricks isn t trucking its cloud from AWS to Azure but is instead making the cloud available on Azure as another deployment option, said a source familiar with the matter.Azure s HDInsight service, which competes with AWS EMR tool, added support for Spark in 2015, weeks after AWS Spark announcement.But Databricks, a San Francisco startup, hasn t been an Azure customer all this time.Ion Stoica, Databricks former chief executive, and currently its executive chairman, wouldn t say one way or another whether Databricks product would be coming to Azure, but he did say that moving to other clouds was not a matter of if, but when.That way, if customers want to migrate from AWS to Azure, they wouldn t have to worry about Databricks only being in AWS.If we are going to other clouds, it s more about the customers are pulling us, rather than, you know, having any thing like — we never had with Amazon any kind of conflict, so to speak, Stoica told VentureBeat in an interview.Microsoft also wouldn t confirm or deny whether it will be getting new business from Databricks.
I was, and the word buzzing all over the Orange County Convention Center was cloud.As I walked the show floor and perused different sessions, the most prominent themes included cloud-first, artificial intelligence mobile apps, machine learning, wearables, and real-time in memory computing systems that allow physicians and researchers to turn patient data from EMRs into actionable insights.I spoke with many people over the course of the event—healthcare experts from many different backgrounds (academic professors, oncologists, IT specialists, economists), that all agreed—too many disparate players in the healthcare industry hinder the ability to streamline the patient experience and move to value-based care.In a connected healthcare model, all of the different stakeholders in the industry are able to share data seamlessly across systems—patients can communicate more easily with physicians; physicians can electronically procure payment from the insurance companies; employers can easily interact with the payer organizations; research institutions can leverage EMR data to make strides in treatment therapies.Dr. David Delaney, Chief Medical Officer SAP, noted that 70% of the data in EMRs is unstructured.In order to turn this unstructured data into predictive capabilities, it must be funneled through a solution like SAP Connected Health that can speed time it takes to bring EMR data to the point of care by 85%.