Posts Tagged ‘Big Data’
Electronic Health Record (EHR) Trends: from wearables and telemedicine to cloud computing and big data
Posted April 11, 2016on:
The new trend for many medical practices is obtaining an EHR (Electronic Health Record) system. While there are many practitioners still using files and travel cards, EHR provides better efficiencies for billing, reimbursements, audits etc. Admittedly, there are more systems then doctors but acquiring an EHR allows better practice efficiencies and perhaps more money for the practice.
In this post we highlighted the most important EHR trends to see unfold this year. Thus, we expect wearables, telemedicine and mobile medicine to continue to advance. They’ll be joined by cloud computing, patient portals and big data.
Telemedicine and wearables plus EHR
The telemedicine market is forecasted to exceed $30 billion in the next five years, as providers increasingly see the need to reach seniors and patients in rural areas. Telemedicine offers tons of value to seniors. It improves care by getting it to remote patients who live far from hospitals. It also enables homebound patients to get high-quality care. It makes care cheaper, and allows seniors to stay at home longer. It benefits providers by making their jobs more flexible. And it also eliminates picking up new illnesses in a clinical care setting.
Wearables’ mass adoption has made store-and-forward telemedicine much easier. Devices like Fitbits automatically collect valuable health data. Store-and-forward telemedicine just means that data goes to a doctor or medical specialist so they can assess it when they have time.
EHRs are going mobile
More and more providers want to provide medical care from their smartphones, and more patients want to access data through mobile devices. Contributing factors to the popularity of mobile devices include their affordability, ease of use and portability (meaning they are easy to carry between patient exams to access electronic patient information). One of the other drivers of mobile technology in healthcare is the availability of myriad apps for smartphones and tablets. For each of the major smartphone operating systems, there is now an app for almost every conceivable healthcare need, ranging from drug dose calculators to fully functioning electronic medical records. Healthcare apps play a pivotal role in changing the utility of mobile devices. They’re transforming smartphones or tablets to medical instruments that capture blood test results, medication information, glucose readings, medical images, enabling physicians and patients to better manage and monitor health information. Healthcare apps are clearly taking on more mainstream health IT functions and have moved beyond sporadic use by early adopters.
From these facts we may conclude that EHRs will offer better mobile design and functionality.
More EHRs will move to the cloud
Start-up costs for EHRs can prove burdensome for some institutions, while cloud-based tools offer minimal start-up costs and can make better use of providers’ current resources. The cloud also enables better continuity of care. Cloud-based software means you can access records from outside the office. It makes mobile access possible. It makes transferring records a snap. And it makes updating software seamless for providers.
In the coming year, more and more EHRs will offer cloud services.
More EHRs will provide patient portals
Though patient portal usage got off to a slow start in 2013, in last two years it grew in popularity.
While about half of physicians offer patient portals right now, almost another fifth of them plan to offer one in the next 12 months. In a 2015 survey of more than 11,000 patients, 237 physicians, and nine payer organizations representing 47 million lives, almost a third of patients said they were interested in using a patient portal to engage with their physician, track their medical history and receive educational materials and patient support.
More providers will both offer and promote patient portals. Some may even have patients use the portals during office visits to begin getting their data into the system. And patients will start to see their value. Educating patients on how and why to use portals will be the key to getting them to use it.
Big data will reveal more connections
Personalized medicine enabled by big data is an emerging trend in healthcare. Innovation will continue apace in 2016.
Personalized medicine focuses on analyzing a person’s genome, environmental, social, biometrical, and religious influencers, and determining a treatment for the individual based on that data. It’s about moving from a one-size-fits-all approach to instead creating micro-buckets of patients by analyzing their medical records and genome sequences, and treating patients based on the research and records of how other patients in similar situations have reacted. Big data is working to identify the behaviors, risk factors, and early indicators of disease so doctors can prevent it more effectively.
Big data is only the first step. That data must be cleaned and structured so it can reveal patterns in factors that influence outcomes.
Moving forward, technology will continue to transform the healthcare industry as it plays a key role in new healthcare delivery models. EMR/EHR, mHealth, telemedicine, and many others identified will continue to increase their footprint in this growing industry. Where do you see Healthcare IT over this year? What EHR trends are you most excited about and what trends did I miss? Let me know in the comments!
Business Development Manager
Professional Software Development
The stumbling block for many companies and the reason why organizations fall behind in the planning and pre-planning stages of big data, appears to be confusion on how best to make big data work for the company and pay off competitively.
With all the talk about rapid deployment and breakneck business change, there can be a tendency to assume that businesses are up and running with new technologies as soon as these technologies emerge from proof of concept and enter a mature and commercialized state. However, the realities of where companies are don’t always reflect this.
Take virtualization. It has been on the scene for over a decade-yet recent research by 451 Research shows that only 51 percent of servers in enterprise data centers around the world are virtualized. Other recent survey data collected by DataCore shows that 80 percent of companies are not using cloud storage, although cloud concepts have also been with us for a number of years.
This situation is no different for big data, as reflected in a Big Data Work Study conducted by IBM’s Institute of Business Value. The study revealed that while 33 percent of large enterprises and 28 percent of mid-sized businesses have big data pilot projects under way, 49 percent of large enterprises and 48 percent of mid-sized businesses are still in big data planning stages, and another 18 percent of large enterprises and 38 percent of mid-sized businesses haven’t yet started big data initiatives.
The good news is that the study also showed that of those organizations actively using big data analytics in their businesses, 63 percent said that the use of information and analytics, including big data, is creating a competitive advantage for their organization–up from 37 percent just two years earlier.
The stumbling block for many and the reason why organizations fall behind in the planning and pre-planning stages of big data, appears to be confusion on how best to make big data work for the company and pay off competitively.
Big data projects need to demonstrate value quickly and be tightly linked to bottom line concerns of the business if big data is to cement itself as a long-term business strategy.
In far too many cases when people plan to build out a complete system and architecture before using a single insight or building even one predictive model to accelerate revenue growth. Everyone anticipates the day when Big Data can become a factory spitting out models that finally divulge all manner of secrets, insights, and profits.
So how do you jump start your big data efforts?
Find big data champions in the end business and business cases that are tightly constructed and offer opportunities where analytics can be quickly put to use.
When Yarra Trams of Melbourne Australia wanted to reduce the amount of repair time in the field for train tracks, it placed Internet sensors over physical track and polled signals from these devices into an analytics program that could assess which areas of track had the most wear, and likely would be in need of repair soon. The program reduced mean time to repair (MTTR) for service crews because it was able to preempt problems from occurring in the first place. Worn track could now be repaired or replaced before it ever became a problem-resulting in better service (and higher satisfaction) for consumers.
Define big data use cases that can either build revenue or contribute to the bottom line.
Santam, the largest short-term insurance provider in South Africa, used big data and advanced analytics to collect data about incoming claims, automatically assessing each one against different factors to help identify patterns of fraud to save millions in fraudulent insurance payments.
Focus on customers
There already is a body of mature big data applications that surround the online customer experience. Companies (especially if they are in retail) can take advantage of this if they team with a strong systems integrator or a big data products purveyor with experience in this area.
Walmart and Amazon analyze customer buying and Web browsing patterns for help in predicting sales volumes, managing inventory and determining pricing.
Professional Software Development
The IT world continues to sprint forward at an unrelenting pace and these are its five hottest trends so far in 2012. Let’s count them down.
5. The projectization of IT
Projects have always been a major part of IT, but in the past there were also a lot of IT resources dedicated to keeping the lights on and keeping the world running. Companies now take those operational aspects of IT for granted and want that existing infrastructure automated as much as possible and for as cheaply as possible. There’s little glory or job security in keeping the company’s existing systems on life support.
That’s why outsourcing and the cloud are such hot commodities. They allow companies to offload IT operational costs and focus their IT staff on the next project to upgrade systems, streamline business processes, and launch new IT projects to transform the business. More than ever, IT is all about the projects. It’s about the vendors that can help support IT projects (and there are infrastructure jobs for IT pros there). It’s about the business analysts and project managers who can organize people and resources to pull off projects on time and on budget. It’s about the CIOs who now base their budget and staffing decisions largely on projects rather than just the cost of keeping the server room running.
4. PC/Mobile convergence
Employees are more mobile than ever. There are a lot of factors driving that, from increased telecommuting to work/life balance where people leave early to pick up their kids and then work the rest of the afternoon from a cafe or the stands at the soccer field. There are also industries such as transportation and health care that have always had lots of non-desk employees and have had to shoe-horn computing solutions into their work environments.
The growing capabilities of smartphones and tablets are filling many of these needs as these mobile devices become more able to do the tasks of a full PC. Still, there are times when workers can be even more productive when working with a full keyboard and mouse. That’s why we’re beginning to see the rise of products like Motorola Webtop (a Smartphone docking solution), Ubuntu for Android (desktop OS embedded in a Smartphone), and Microsoft Surface (a tablet with a kickstand and keyboard cover). The lines between traditional PCs and mobile devices continue to blur.
3. Desktop thinning
Let’s be honest. The proliferation of mobile devices and the Bring Your Own Device trend has created a lot of headaches and nightmare scenarios for the IT department. For companies that need stronger security and more control over the employee environment, one of the easiest answers to the problem is to move to solutions like desktop virtualization or terminal services from vendors like VMware, Citrix, and Microsoft.
That allows the IT department to create a standard environment with all the company apps that employees can access from a company PC, their home PC or laptop (over VPN), or even a tablet or Smartphone. The environment looks and feels like a traditional PC but the apps and all the data remain on the company servers which are more secure and easier for the IT department to manage and troubleshoot. This technology has been around for years, as “thin clients.” But there are three factors driving it forward in 2012: 1.) BYOD, 2.) mobile devices, and 3.) it lets companies delay PC upgrades since it pushes all of the heavy lifting to the servers. So companies still aren’t going to thin clients in large numbers, but their desktop environments are getting a lot thinner.
2. Big Data
If “Cloud Computing” has been the overhyped and overused IT term of the last several years, the new buzz phrase of 2012 is “Big Data.” Like Cloud, Big Data gets abused by marketers. The main thing you need to understand when it comes to Big Data is that it’s about bringing together the “structured” internal data that your company has always used for its reports and mixing it with public “unstructured” data like social media streams and freely available government data (on traffic, agriculture, crime, etc.).
The act of combining these two types of data can give you new insights into how your customers feel about your products versus your competitors (from the social media streams), it can help you anticipate changes in product demand, it can help you use government trending data to anticipate the growth or decline of markets, and more. That’s why Big Data is such a big deal. But, don’t be fooled. It’s still in its infancy. There aren’t a ton of great commercial tools yet that can help you harness Big Data. It takes the right IT pros who know how to work some data magic and they are in high demand.
1. Cloud, cloud, and cloud
There are essentially three types of clouds — the full Internet cloud (some call it the “public cloud”), the private cloud (which looks a lot like a traditional data center, but with lots of virtualization), and the hybrid cloud (an integrated mix of public and private clouds). Make no mistake; all three types of clouds are thriving in 2012. The public cloud is the one that most people think of when they hear “cloud” and it’s mostly about hosted apps like Salesforce.com and Workday.com as well as Internet-hosted infrastructure like Rackspace and Amazon AWS. But, we’re increasingly seeing traditional IT players like Microsoft, IBM, and HP quietly become big players in the cloud as well.
The private cloud and the hybrid cloud are for larger companies and organizations that need stronger security or have legacy apps that are not easily moved or migrated to the cloud. Both of these types of cloud solutions are picking up steam, especially in companies that have already moved their easy stuff to the cloud and are now digging in and dealing with some of the big, expensive, entrenched stuff.
What are the hottest IT trends in your world so far in 2012?
Professional Software Development
There is no doubt that 2012 will be another big year for BI and information management. In the article we`ve tried to gather what we suppose are the top BI trends for near future
Big Data → Need for Speed
The rise in volume (amount of data), velocity (speed of data) and variety (range of data) gives way to new architectures that no longer only collect and store but actually use data: on-demand or real-time BI architectures will replaces traditional datawarehouses. Successful business intelligence projects will need to consider Big Data as part of their data landscape for the value that it delivers. More and more organizations will look toward statistics and data mining to set strategic direction and gain greater insights to stay ahead of the pack.At the same time the BI user is expecting faster answers from their BI environment disregarding the fact that the size of data is increasing.
Shift from analytical BI to operational BI
Increased adoption of cloud and mobile BI encourage individuals to access their KPI dashboards (key performance indicators), more often. An operational dashboard works much like a car’s dashboard. As you drive, you monitor metrics that indicate the current performance of your vehicle and make adjustments accordingly. When the speed-limit changes, you check your speedometer and slow down, or when you see you are out of gas you pull over and fill-up. Likewise, an operational dashboard allows you to make tactical decisions based on current performance, whether it is chasing a red-hot lead or ordering an out-of-stock product.
Latest surveys showed that only 25% of employees in businesses that adopted BI had access to that tool. And that is not because they didn`t want to or didn`t need information, but because traditional BI tools have been too bulky and technical for that other 75% of employees to use.
As now organizations more and more are adopting cloud and mobile BI dashboards, this situation is likely to change. Business intelligence is heading towards simpler, more straightforward methods and tools..
An Agile approach can be used to incrementally remove operational costs and if deployed correctly, can return great benefits to any organization. Agile provides a streamlined framework for building business intelligence/data warehousing (BIDW) applications that regularly delivers faster results using just a quarter of the developer hours of a traditional waterfall approach.
It allows you to start a project after doing 20 per cent of the requirements and design that deliver 80 per cent of the project’s value. The remaining details are filled in once development is underway and everyone has a good look at what the challenges actually are.
BI going mobile
In a survey conducted by Gartner, it was found that by 2013 one-third of all BI usage will be on a mobile device, such as a smart-phone or tablet. BI users want to access their data anytime and anywhere. This puts a demand on both the backend of any BI solution (like datawarehouse appliances) but also on the frontend where information access and visualization must be possible.
BI going up to the Cloud
As Cloud computing continues to dominate the whole IT landscape, so BI also dominates in the Cloud . Throughout next few years adoption of cloud BI tools will be driven by a number of important factors. First, cloud-based solutions offer the advantage of being relatively simple and convenient to deploy. Second, cloud tools are more easily scalable to provide access to key performance indicators (KPIs) to everyone in your organization, no matter where they are or what device they are using. Lastly, continually improving security measures will put to rest any reservations businesses have with storing their sensitive data in the cloud.
We believe these above enumerated areas will grow over the next few years. Organizations will embrace the Agile approach, utilizing new tools and technologies to decrease delivery times and demonstrate substantial business value. As we put more data into the Cloud, big data will become standard. Data itself will be delivered to satisfy the desires of users, so access from mobile devices will dominate desk-based consumption. The businesses that embrace these new business intelligence trends, and take steps to change and adapt the way data is hosted, analyzed, utilized and delivered, will be the ones that grow and prosper in the near future.
And what are your predictions for the big business intelligence trends in the next few years? Do you agree/disagree with our predictions?