The Impact of Big Data Analytics on Healthcare & Your Health

The Impact of Big Data Analytics on Healthcare & Your Health


Often we take good health for granted.  However if you or a loved one has ever experienced a sever injury, disease, or other health event, it is often a life changing occurrence, which turns one’s life upside down.  Today, there is more information available to patients to understand the symptoms, outline event progression, and summarize treatment options thanks to the Internet.  However, there is even more information available in the rich volumes of data stored by hospitals, insurance companies, pharmaceutical companies, biotechnology, and other healthcare intuitions and organizations. The golden nuggets contained within these desperate repositories are invaluable for both macro health trending and micro segmentation based on known commonalities. Leveraging advanced data analysis techniques, there is greater promise in discovering unknown correlations that could provide understanding of our most pressing health issues. Unfortunately, the technology necessary to extract key insights from these disparate systems hasn’t been available…until now. The confluence of big data stores, distributed computing, and real-time, multidimensional analytics offers the potential to change every aspect of our healthcare system.  Furthermore, the best practices and methodologies developed within the healthcare industry are also highly applicable to all businesses facing big data and analytics challenges.


After a life changing diagnosis twenty years ago, Laura Madsen, M.S. suffered from a chronic condition for years before someone could pinpoint what was actually wrong, as her paper medical records grew to rival Webster’s unabridged dictionary.  Ironically, each new doctor/specialists would request the same information, which was a highly inefficient process.  Laura eventually realized that most of the inefficiencies had nothing to do with the care team’s capabilities, but had everything to do with the sharing of patient information.


In 2006, her two-year-old nephew had been ill off an on for over a month, which isn’t uncommon for children that age.  The pediatrician was concerned and sent her nephew to the Children’s hospital.  The blood test revealed leukemia.  After treatment, he nephew made a full recovery.  However, the anxiety of associated with such an event was partially mitigated by the hospital’s use of technology to track patients, report patient status, and keep families informed about their loved ones.


After these two life changing events, Laura made another major life decision. It was to evangelize the critical value of technology’s importance in the healthcare industry to deliver efficiency, better outcomes, and improve transparency.  With the aforementioned confluence, Laura was in the right place at the right time to make a difference, especially as increased regulations further accelerated healthcare data growth.


In her new book, Healthcare Business Intelligence: A Guide to Empowering Successful ..., she offers her expertize in healthcare, data science, analytics, business intelligence, and big data best practices to deliver a invaluable roadmap for organizations to plan, deploy, and manage technology.  Written with the business leader in mind, it is a detailed methodology for building intelligent business intelligent and information analytics capabilities to deliver sustained  organizational value.


In a rare interview, Laura Madsen, M.S., will be discussing her new book and taking questions on her experiences in healthcare big data and how the healthcare learnings can be applied to other businesses.  The interview webinar will be on February 20th, 2013 at 10:00 PT. It is open to all, however there is limited telephone space, so reserve your spot today – at Laura Madsen.

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Tags: analytics, big, business, cetas, data, healthcare, intelligence, laura, madsen


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Comment by Arindam Samanta on January 24, 2016 at 7:06am

Thanks for the post ..

Comment by Arindam Samanta on January 24, 2016 at 7:04am

When a advocate file case for us & after some time we want to change Advocate we need NOC for that advocate why (based on Indian law) ? Boss big data collected from open source  is very complicated & harmful..

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