Big Data in Healthcare
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Here is how cloud computing, big data, and some innovation can reinvent healthcare

Here is how cloud computing, big data, and some innovation can reinvent healthcare | Big Data in Healthcare |
No matter if you were for or against the new healthcare regulatory changes, the end result is that more people will be tossed into a system that is already at capacity. You can either ration the c...
Mason Powers's insight:

Interesting article with 2 recommendations for Healthcare Providers & Payers in leveraging big data technologies:


1. Manage patient data holistically, and in new, innovative ways. 


This is exactly what Informatics Corporation of America is doing through their industry leading Health Information Exchange.  By powering this exchange with MarkLogic's enterprise-hardened NoSQL database technology, ICA is able to provide a holistic view of the patient across all delivery networks. 


2.  Combine data into huge analytical data sets that exist on cloud computing providers, providing universal open access.


This continues the discussion of the available technologies which can now combine ALL data:  diagnostic, treatment, and outcome data into a single, searchable repository (i.e. MarkLogic 6).  Analysts can combine this data, better understand factors of quality of care, and keep healthcare costs low.  Low healthcare costs = healthy Americans; this inverse relationship should be the most obvious and striking point to motivate both providers and payers to adopt a big data strategy that focuses on lowering costs.  Whereas lower costs leads to healthier citizens, it also leads to higher margins.   


The next generation of technologies is here:  technologies that can manage vast amounts of unstructured, strucutred, and poly-structured data, all from the same platform; technologies that can maintain performance, speed, and scale under constant ingest and high frequency queries; technologies that work better, enable innovation, and do so for much, much cheaper.  


Please take a look at to learn how we are helping leading Healthcare organizations leverage their big data and improve quality of care through shortened billing cycles with better outcomes. 

Tony Agresta's comment, December 28, 2012 10:19 AM
Good insight Mason. If you like Mason's post, you will also like this:
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Using Big Data To Make Patients Better And Help Guide Doctors Part 1

Medicine is often without the kind of data-monitoring used for quality control in other businesses. Can new sources of data help improve patient care?
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MarkLogic® and Tableau Deliver Analytics and Visualization Over Unstructured Data | MarkLogic

Business users can now harness the power of Tableau’s award-winning business intelligence and reporting solutions to access disparate data sets of structured and unstructured data stored in a MarkLogic database.
Mason Powers's insight:

Organizations are struggling to manage, and more importantly, extract valuable insights from unstructured data.  This webinar presents a solution to this problem, using technologies analysts already know, with a purpose-built technology in the background (MarkLogic's Enterprise NoSQL Database) that easily exposes all of your data (structured, semi, and unstructured), to Tableau's B.I. and reporting capabilities.


Streamlining operations while seamlessly delivering intelligence that is derived from ALL of your data, not just the "easy" data. 

Tony Agresta's comment, December 20, 2012 12:01 PM
If you missed this one, the replay will be available soon at In the meantime, here are the Top 10 points made during the presentation plus a short description of the demo that was done. I’ll update this post with the link to the recording as soon as it’s available - 1) The "Value" of big data is essential – When it comes to analytics, this could easily be the 4th "V" in big data in addition to volume, velocity and variety. Analytics allows you to determine and apply value in your organization. 53% of the respondents on the webinar felt that data integration is the most significant challenge they face. 2 ) User adoption of analytical technology is driven by ease of use and robust functionality. Many software companies have struggled with this basic premise. Tableau has gotten it right creating competitive distinction and increasing customer satisfaction. 3) When combined with an Enterprise NoSQL approach that includes native Search capabilities, data can be exposed to Tableau in a highly scalable, secure environment that includes point in time recovery and real time ingestion, among other capabilities. 4) “Dark data” (data previously ignored by the enterprise) can now be monetized through unified information access and data visualization that provide “angles of analysis”. These angles reveal the value. In this context, “angles” refers to visualizations and interactivity allowing users to discover meaning. 5) Loading data “as is” using a schema-less database (and also search the data in real time) can dramatically shorten the cycles from data ingestion to decisions. This premise is especially important in mission critical applications across healthcare, government, financial services and media markets, to name a few. 6) Text mining tools provide context through “markup” that add value to the data. A big data solution that includes natural language processing and semantics can enhance that meaning and may be needed, depending on the data problem at hand. 7) Hadoop is now part of the MarkLogic platform allowing users to store the data and make it available to MarkLogic “on demand”. This staging area is important because of the sheer volume, velocity and variety of data coming in. 8) Visualization is the last key component of this big data technology stack and hence the partnership between MarkLogic and Tableau. 9) MarkLogic data is exposed to Tableau though ODBC. Data has been converted to XML and Tableau taps into the data. 10) Unstructured data can be blended with more traditional structured data on the Tableau side to provide a more complete picture of the data.
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Shopping in the Big Data marketplace

Shopping in the Big Data marketplace | Big Data in Healthcare |

"The Big Data marketplace is diverse and growing. It has a host of companies selling products that are called big data solutions but some of that is opportunism and some is deliberate obfuscation of the concept."


After reading this article, I couldn't help but add some more depth. "Shopping in the Big Data Marketplace" fails to mention the leader in this space, MarkLogic who has been providing powerful, accessible and trusted technology in this space longer than any of the vendors mentioned in the article. This isn't hype.


There's one absolute way to validate this - Read about the customers who use MarkLogic today including the BBC, MModal, Conde Naste, Zynx, countless government agencies. A more complete view is available here:


Why did these organizations decide to use MarkLogic? It's an enterprise grade, hardened Big Data platform that works. Some of the capabilities provided out of the box include:


 - MarkLogic distributes Hadoop

 - User-Defined functions

 - In-database Analytic Functions

 - Visualization Widgets

 - Real-time, flexible indexes

 - Multilingual full-text search

 - Schemaless design

 - Scale out on commodity hardware with auto-sharding

 - Tiered storage

 - Alerting and event processing

-  Geospatial query

 - Java API


 - JSON Support

 - MarkLogic Content Pump

 - BI Tools Integration

 - Application Builder

 - Information Studio

 - Connector for Hadoop

 - Monitoring and Management

 - Support for Linux, Windows, Solaris, MacOSX, SUSE, VMWare

 - Superclusters

 - Transactions

 - Role-based Security

 - Automated failover

 - Replication

 - Journal archiving

 - Point-in-time recovery

 - Database rollback

 - Backup/Restore

 - Distributed transactions

 - Common Criteria for Information Technology Security Evaluation (ISO 15408)


Here's a link to a video you can watch about how the BBC Olympics Website was built on this proven, trusted technology:






Via Tony Agresta
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Innovative solutions to increase adherence in healthcare

Innovative solutions to increase adherence in healthcare via @PharmabizIndia @MedTimeCompl...
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Healthcare IT: The 4 Pillars Of Technical Innovation - CRN

Healthcare IT: The 4 Pillars Of Technical Innovation - CRN | Big Data in Healthcare |
Healthcare IT: The 4 Pillars Of Technical Innovation CRN Four major technology trends, which are becoming more intertwined every day, will dominate the healthcare IT landscape in 2013, according to IDC Health Insights' top researcher, Scott...
Mason Powers's insight:

The 4 trends for Healthcare IT in 2013:


1. Cloud

2. Big Data & Analytics

3. Social Media

4. Mobility


Here is how the industry's leading big data platform provider, MarkLogic, supports these 4 trends, with the agility and security Healthcare organizations require:


1. Cloud:  

2. Big Data & Analytics:

3. Social Media:

4. Mobility:



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Reinventing Society In The Wake Of Big Data | Conversation | Edge

Reinventing Society in the wake of Big Data
Mason Powers's insight:
Sandy Pentland, listed on Forbes' Top 7 Most Important Data Scientists, says, "the power of Big Data is that it is information about people's behavior instead of information about their beliefs." With technologies capable of tracking citizen's behaviors, not just their expressed beliefs (i.e. Facebook posts, or tweets), providers and payers will be able to develop therapies and improve quality of care by having the data before the theories. As Sherlock Holmes says, "It is a capital mistake to theorize before one has data. Insensibly one begins to twist facts to suit theories, instead of theories to suit facts." We finally have the data, and what is more, we have technologies that can find the signal within the noise of data. The next phase will be for the Data Scientists and CMOs of the world to effectively translate the signal into meaningful policy, meaningful use, with minimal waste, and ultimately, improved quality of life for all.
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Big data: 2012 in review

Big data: 2012 in review | Big Data in Healthcare |
2012 was the year that big data went from the server room to the board room

Via Tony Agresta
Tony Agresta's curator insight, December 18, 2012 9:55 AM

"We're moving to a new generation of database, NoSQL, designed to process the 80 per cent of the world's data that's not in a relational database. NoSQL isn't going to replace RDBMS, it's going to complement RDBMS, do the things RDBMS can't do, or can't do well." - Gary Bloom, CEO, MarkLogic

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Healthcare | MarkLogic

Healthcare | MarkLogic | Big Data in Healthcare |

Visit to read how the world's largest healthcare organizations are using our Enterprise NoSQL Database technology to streamline their information interoperabiliy, improve search and analysis, and optimize drug and clinical information. 

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What if Big Data is Too Big? A Radical Solution May Be in DNA - Forbes

What if Big Data is Too Big? A Radical Solution May Be in DNA - Forbes | Big Data in Healthcare |
Where would you store 70 million books? One answer—albeit very old school—is a really big library. After all, the U.S. Library of Congress has 35 million books; San Francisco’s main library has fewer than 3 million.
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