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Tag: health information exchange

What The Emergence of an EMR Giant Means For the Future of Healthcare Innovation

(Note: the following commentary was co-authored with Tory Wolff, a founding partner of Recon Strategy, a healthcare strategy consulting firm in Boston; Tory and I gratefully acknowledge the insightful feedback provided by Jay Chyung of Recon Strategy.)

Medicine has been notoriously slow to embrace the electronic medical record (EMR), but, spurred by tax incentives and the prospect of cost and outcomes accountability, the use of electronic medical records (EMRs) is finally catching on.

There are a large number of EMR vendors, who offer systems that are either the traditional client server model (where the medical center hosts the system) or a product which can be delivered via Software as a Service (SaaS) architecture, similar to what salesforce.com did for customer relationship management (CRM).

Historically, the lack of extensive standards have allowed hospital idiosyncrasies to be hard-coded into systems.  Any one company’s EMR system isn’t particularly compatible with the EMR system from another company, resulting in – or, more fairly, perpetuating – the Tower of Babel that effectively exists as medical practices often lack the ability to share basic information easily with one another.

There’s widespread recognition that information exchange must improve – the challenge is how to get there.

One much-discussed approach are health information exchanges (HIE’s), defined by the Department of Health and Human Services as “Efforts to rapidly build capacity for exchanging health information across the health care system both within and across states.”

With some public funding and local contributions, public HIE’s can point to some successes (the Indiana Health Information Exchange, IHIE, is a leading example, as described here).  The Direct Project – a national effort to coordinate health information exchange spearheaded by the Office of the National Coordinator for Health IT – also seems to be making progress.  But the public HIEs are a long way from providing robust, rich and sustainable data exchange.

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What Can We Do to Simplify Healthcare?

Information is power, but sometimes it can be too much of a good thing. Information overload affects workers in every industry – this is particularly true for data-reliant and intensive industries like healthcare. And, it’s not getting any better – by 2020 the healthcare industry alone is estimated to have 25,000 petabytes of data – that’s equivalent to 500 billion four-drawer filing cabinets. With its complexity and breadth, and not least with its impact on our lives, healthcare has to be the poster child for how efficient management of data can improve productivity and help providers make better, more informed decisions.

A first trick, however, is getting at the relevant pieces of information. Today, a lot of manual work goes into accessing and cleaning up data that is siloed and unstructured. Too much information is still on paper, but even where it has been migrated to electronic medical records (EMR), practice management systems, or lab diagnostic systems, much of it is still unstructured. The majority of hospitals are finally implementing EMRs, and many of us are working to provide advanced analytics based on the information going online, but, at a recent Xerox healthcare client council meeting, several CIOs emphasized that there still remains a huge challenge in cleaning, standardizing, and integrating data before it can be used for decision making.

Fortunately, powerful methods are becoming available that can extract relevant events from physician narratives, intelligently aggregate data, customize information for clinicians based on context, and visualize information. For instance, in France, a number of hospitals are testing an emerging application based on Natural Language Processing technology developed at the Xerox Research Centre Europe in Grenoble, France. Researchers designed the solution to help prevent the spread of hospital-acquired infections by finding, extracting, and combining key information in physician narratives distributed in medical records. As another example, our Midas+ Live product accesses and integrates information from diverse hospital systems and puts them on a single dashboard, multiple patients at a time, hugely simplifying a physician’s task to monitor all of his or her patients.

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