I read any story on healthcare reform with interest because the complexities and cost of reform will be significant.  One hopes that the benefits will be significant too, but that remains to be seen as reform is implemented.  I am also firmly convinced that technology will continue to change and improve the quality of care, while reducing the cost of care.  This combination is desperately needed, and integration will help us better manage change.

As mentioned in a recent Healthcare IT News article, “three forces are driving the transformation of the healthcare industry: regulatory reform is changing the industry structure, technology is creating a revolution in healthcare delivery and personalized medicine is disrupting the practice of medicine.”

Data is at the center of all of this change.  Reform will cause the healthcare industry to view patient data differently, and will require new connections that haven’t occurred in the past.  New, innovative connections between patient and doctor, and provider and insurer are already happening.  Where there are data and connections – there needs to be better integration.  Integration technology works behind the scenes and is critical to “make stuff happen” and to enable people or communities to connect with one another. 

These three transformational forces have caused healthcare providers to become even more concerned with coordinating and synchronizing results for their patients, for staffs and partners.  If everyone has one comprehensive view of patient data, for example, better care happens naturally with better communication and connectivity.  Mistakes are reduced, redundant tests are no longer needed, and entries of information go away.  In short, everyone’s on the same page.  I argue that this coordinated view is possible with better integration, and that integration doesn’t have to be difficult.  Incremental approaches to comprehensive integration can happen today. 

Integration provides connections between various disparate systems and applications to provide this single view of data.  Today, integration isn’t just about tracking and reporting on past events.  Real-time integration is about routing data based on the content of the data, applying rules to the data, causing things to happen based on the flow and content of information and how others react to the data.  On top of this dynamic mix of data and rules is a real-time view of data and the impact that data is having or showing on the enterprise.  Do I have enough inventory, staff, and information to make the right decisions?  If not, where do I go to get the information I need?    This one view of data helps organizations improve care, lower risk and increase revenue. 

The time to revisit integration is now.  Connected and synchronized healthcare data combined with the ability to manage it in real-time, will help healthcare organizations face reform, connect new technologies to old, and handle the future of healthcare, whether care happens in a hospital, clinic or at home. 

Technology has always made the seemingly impossible possible, and integration technology is no different.  In fact, while it’s addressing the “impossible,” integration technology also protects the investments you’ve already made and helps you adapt to reform and other mandates.  Integration technology is back in the limelight as the critical application to pull it all together, and the healthcare industry only stands to benefit from better integration.

The Economist magazine recently produced a special report on managing information, and in it, the report outlined the struggle to keep up with loads of information.  The report details how the world produces and holds a stupendously vast amount of digital information which is getting bigger by the minute.

If it’s managed properly, data can be used as a key to unlock new businesses, provide transparency of governments and other entities, and add to scientific ventures.  With more data we have endless possibilities – we can use  the data to spot trends, adjust our business practices, inform populations, prevent disease, combat crime, and so on.  But a huge amount of data also creates big headaches when it comes to capturing, processing, storing, sharing and protecting that information.  And that is just moving the data – changing and running a business based on the information that is “in” the data is even more complicated!

Turning raw data into actionable information is a challenge that some organizations are conquering effectively.   One of the latest trends in healthcare is electronic medical records (EMR).  Digital records should make life easier for doctors, bring down costs for providers and patients and improve the quality of care.  But in aggregate, the data can also be mined (business intelligence applied) to spot unwanted drug interactions, identify the most effective treatments and predict the onset of disease before symptoms emerge.  Stand alone software applications already attempt to do these things, but need to be explicitly programmed for them.  And most software applications need information that is held in other applications, records, databases, transactions to make the best decisions.  In a world of big data, the correlations surface almost by themselves, but data integration is key to making these correlations happen.

Government entities are using big data to fight crime, improve city services and inform the public about various initiatives.  With budgets being slashed during the recession and a new emphasis on transparency, government agencies are looking for a way to use information to become more efficient.  Moreover, providing and sharing information opens up new forms of collaboration between the public and the private sectors.  Data is the driver to help these organizations solve problems quicker.

So with data becoming more abundant, the main problem is no longer finding the information you need, but finding the relevant information you’re looking for.  To be beneficial to one or many, data must be organized, and it must be shared with other people and systems looking for the same data.  Right now your IT staff is concerned about big data, and they have a right to be, given all they have on their collective plate.  Data integration helps solve these issues of relevancy, organization and sharing.   The best integration solutions do all of the work connecting the data for your IT folks, so that your business people who need to use the data can very easily access the data they need and set up workflows that help them pull that data on a regular basis.

If you have questions or comments about how data is getting bigger and how to connect your data or handle it, let us know.  We’d be happy to see if we can help.