Guest post by Daniel Piekarz, Vice President of Business Development, Life Sciences, DataArt.
mHealth is a broad category of healthcare technology including medical, health and wellness applications and devices. The mHealth market is exploding because of the vast interest in the space and a relatively low cost of entry. We are seeing the marketplace grow at a very rapid pace with likely more than 100,000 apps available on the market today.
Why is there so much excitement around the mHealth market? The platform that mHealth runs on has expanded around the entire globe with nearly 7 billion mobile phone subscriptions worldwide. This is equal to more than 95 percent of the world’s population as estimated by The International Telecommunication Union. This 7 billion includes 1.75 billion smartphone users globally, according to eMarketer. The world is more connected today than ever before and this has laid the foundation for the mHealth market to begin its climb into the mainstream.
But is the market ready?
In many ways the excitement in the market reminds me of the excitement that swarmed during the early 90s regarding the Internet. Every company was entering the space, trying all sorts of new business models and many companies were simply copying others trying to get in on the action. Unfortunately, as we saw with the Internet bubble, high levels of excitement around technology without a clear focus on the problem we are trying to solve can cause very expensive mistakes.
While government and patients are pushing for change in healthcare, a survey by PriceWaterhouseCoopers reveals doctors are less optimistic and more resistant to the disruption mHealth holds for their traditional roles. Only 27 percent encourage patients to use mHealth applications to become more active in managing their health; 13 percent actively discourage mHealth and 42 percent of doctors worry that mHealth will make patients too independent, and it seems to be the younger doctors who are the most worried, with 24 percent of them discouraging mHealth use.
The results of the PwC survey reflect what I have seen when discussing mHealth with doctors. The fear that patients will try to diagnose themselves, the fear of a relatively unregulated market and the lack of evidence-based information, a general fear of change. Yet the same survey states that 60 percent of doctors and payers feel that the wide adoption of mHealth is inevitable in the next few years.
Guest post by Egor Kobelev, software delivery manager — healthcare, DataArt.
There are a lot of organizational and technical challenges health information exchanges (HIEs) struggle with while trying to deploy and maintain their platforms. One of the most complex organizational and administrative challenges is to achieve sustainability. While that is often an ultimate goal for HIEs, there is a huge amount of smaller technical challenges to meet, and the way those challenges are responded to often makes a difference for future HIE sustainability.
One of those typical tasks in the industry is a patient look up and mapping. There is a well-known issue when it comes to any sort of health data integration – the lack of a global unique patient identifier. Thousands of existing healthcare providers and payers use their own internal identifiers and there is no easy way to establish a relation between these. Social Security Numbers or similar national identifiers, while useful in some of scenarios, are not suitable for the purposes of healthcare record identification, primarily because of the risks of HIPAA rules violation.
The good part of the story is the amount of talks regarding a National Patient Identifier (NPI). For instance, HIMSS is proactively driving the initiative of introducing NPI, so that eventually patient mapping, which is currently a challenge, will be routine. However, the reality is that we are pretty far away from having NPI legislated and deployed in healthcare organizations nation-wide. At the same time, as many as 8 percent to 14 percent of patient records have errors caused by mismatching patient identifiers, which in turn causes hundreds of millions of dollars in spending to repair and reconcile the records. So, while we are waiting for NPI to come, what would be a solution which is HIPAA compliant, provides high accuracy, throughput, and minimizes manual interventions at the same time?
Guest post by Daniel Piekarz, vice president of life sciences business development at DataArt.
The life sciences industry will be defined in 2014 by the growing market demand to apply newly developed technology, including big data analysis, to healthcare and medical device practices. While many of the amazing technological advances in the space are driven by a desire to aid humanity, the industry is also caught between increased economic and regulatory pressure that is forcing many to electronically collect heaps of data while looking for custom technology solutions that will allow them to leverage this valuable data and adhere to new industry standards.
Over the next year, trends that reflect newly available technology will start to develop. The adoption of healthcare big data technology will become a major theme in the sector this year, just as it has in several other industries. Many new technology offerings have been created to tie together data from multiple sources that can be accessed by researchers and physicians to allow them to easily exchange information. This also aids in research and development practices by offering another valuable tool to gather and analyze data.
Tied to the big data trend is the emergence of personal healthcare data aided by physicians’ adoption of EHR technology. By allowing patients to own and access their healthcare data on a healthcare information dashboard, patients can more easily understand risks and preventable care options. Pooling anonymized patient data together can also lead to better analysis, and physicians are already starting to work with vendors to develop big data diagnostic tools. These new technology advancements have started to create a generation of patients more committed to their own healthy future than ever before. Through an intelligent system database, patients and physicians can better understand patterns and symptoms that affect their healthy lifestyles. While this type of big data solution is gaining a foothold, there is still resistance from some doctors due to their concern over critical review of their procedures.