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The New Rules of Patient Engagement

Last year Ernst & Young coined the term ‘Pharma 3.0’ describing an ecosystem where healthcare innovation shifts from being product centric to an outcomes focus.  This market transition has come as a result of the generally recognized lack of a sustainable model in global healthcare concurrent with rapid advancements in healthcare technology.  This paradigm shift has created multiple transitions in the healthcare market, including how products come to market and how corporate enterprises mobilize their resources.  It has also has opened the door for traditional biotech and pharm companies to invest in non-drug innovations like Smartphone Apps and offering services aimed at improving overall health outcomes through disease management and coordinated care.  This is happening at a time when patients are becoming more informed and more engaged with managing their healthcare decisions.

Speaking on a panel at BIO 2012 in Boston this week, Robert Prachar, senior vice president at Endo Pharmaceuticals Holdings Inc., stated that there is an abundance of information out there, but “The question becomes how we build decision-support systems that are patient- and physician-friendly rather than just whatever flows to the top in a Google search? Anyway you cut it, we are still in an employment-based health care system…If we start to deliver coordinated care that works, people will pay for that.”

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Medical Devices – It’s just a matter of time, literally!

I had the pleasure of meeting with a number of Biomedical Engineering and Clinical Engineers at CIMIT (Center for Integration of Medicine and Innovative Technology) in Cambridge this week.  Lot’s to tell you (more to come), but perhaps nothing more timely then “time” itself.  With the eventual “Meaningful Use” requirement to include the integration of Medical Devices to your EHR as a means to correlate patient vitals over time – we have big problems looming as an industry.

Under the direction of Dr. Julian Goldman at CIMIT, researcher Pratyusha Mattegunta, MS, BME and team examined 100’s of medical devices across a particular healthcare system – most of which were network attached.  What the team found was an overwhelming number of medical devices with incorrect time and date.  Some devices in fact were running some “very advanced firmware” that was able to predict the patient’s condition — Sometimes as much as 6+ months into the future! Read More »

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