The NoSQL movement is gathering steam here in Silicon Valley and MongoDB is one of the most popular of the NoSQL databases.
IBM DeveloperWorks has had several articles about MongoDB: An Introduction to MongoDB
, andExplore MongoDB Learn why this database management system is so popular,
and also Java Development 2.0: MongoDB: A NoSQL datastore with (all the right) RDBMS movesSteven Francias,
he is Chief Solutions Architect at 10gen, MongoDB and PHP Document-Oriented Data for Web Developers
, just published, is a good introduction to using MongoDB with PHP.
It goes from installation and simple use to MapReduce, replication, and sharding.
For more advanced use of MongoDB, please refer to the following IBM article:Domain-model persistence with Morphia and MongoDB Use Morphia to persist, load, delete, and query a Java domain model mapped to MongoDB
The Health Technology Meetup group,
which alternates between San Francisco and SIlicon Valley, is the perfect place to learn about the latest developments in innovative healthcare technologies
With 1000 members and rapidly growing, it is one of the larger Meetup groups in Silicon Valley. The group counts physicians, IT-people, inventors, entrepreneurs, lawyers, experts on HIPAA, gadgeteers and nurses among its members, and indeed anyone interested in modernizing the healthcare industry.
New healthcare-related startups seem to be popping up like mushrooms after the rain in Silicon Valley and San Francisco these days and this is the place to be for everyone who wants to keep a finger on the pulse of the very latest developments.
Pizza and drinks are included, the meetings start promply on time, the speakers are first class and the mingling before the talks is where you build up your social network.
And if you are new to this space, it is the perfect place to learn what is hot and what is not.
The IBM SmartCloud
is one of the major players in this very competitive spaces, both for public and private clouds.
IBM is cloudier than you think.
Big Blue has a pretty potent set of cloud options
but it’s going about its business very cleverly. Given it’s big-iron
heritage, IBM rarely talks about the hardware component of its cloud
portfolio, Coyle said.
“They’re attacking this from a software perspective. They’ve taken
Tivoli and are building this software umbrella so that you can take
whatever you’re running in your data center now and put all or part of
it in a public or private cloud,” he noted. IBM’s 2010 acquisition of Cast Iron also give it a slick appliance that lets customers integrate in-house apps with SaaS applications running outside.
He doesn’t see IBM cloud penetrating a ton of new smaller businesses,
but for many existing IBM shops — and there are a ton of them — IBM
cloud is a no brainer.
To this we we can add that 80% of the Fortune 500 companies already use IBM cloud computing capabilities.
This link has more information on the IBM SmartCloud Enterprise
So all systems go for cloud in 2012.
Bay Area Hadoop USer Group
, with close to 3000 members ,is one of the top-flight Meetup groups here in Silicon Valley that any programmer or technologigcally interested person simply must attend.
, as everyone knows, is an open source software project
that enables the
distributed processing of large data sets across clusters of commodity
servers. It is designed to scale up from a single server to thousands of
machines, with a very high degree of fault tolerance. Rather than
relying on high-end hardware, the resiliency of these clusters comes
from the software’s ability to detect and handle failures at the
Also, Hadoop is supplemented by an ecosystem of Apache projects, such as Pig,
Hive and Zookeeper, that extend the value of Hadoop and improves its
Now, Hadoop is a key component of the Big Data story: Everyday, we create 2.5 quintillion bytes of data–so much that 90% of
the data in the world today has been created in the last two years
alone. This data comes from everywhere: from sensors used to gather
climate information, posts to social media sites, digital pictures and
videos posted online, transaction records of online purchases, and from
cell phone GPS signals to name a few. This data is big data.
IBM has a very strong position i n Big Data and is also building on the Hadoop Technology
with our BigInsights product.
Because of the importance of Big Data and Hadoop, the Bay Area Hadoop User Group is a key place to be once a month, to learn the latest about the rapid development of Hadoop and the eco system that is rapidly being developed around Hadoop.
The discussions at the meetup are usually very informative and the venue in Yahoo!'s cafeteria is great.
It is also important to point out that the Meetup group does not only discuss Hadoop, but also related technologies.
So join and become part of the world of Hadoop and Big Data.
The Meetup scene
here in Silicon Valley has been going thru the roof the last year, a sign of how Silicon Valley is booming right now.
Last nights meetup at Crown Plaza Hotel in Palo Alto drew around 600 attendees, so many that the meeting had to be held in a hotel.
Like all Meetup groups, The Silicon Valley Cloud Computing Group meets once a month, has great speakers and is squarely focused on developers.
And since most open source development here in Silicon Valley today involves the cloud, this Meetup group is clearly the place to be, to mingle and to learn.
In fact, the meetups are growing so large and are getting so much leverage that they more and more replacing the yearly tech conferences.
Technology blogs have long played an important role in Silicoin Valley.
Now Sarah Lacy,, who left TechCrunch, is starting her own blog Pando Daily
which seeks to be the " blog of record" for the startup scene here in Silicon Valley.
The IBM Case Manager offering is a smarter, more integrated way for businesses to handle growing, increasingly complex workloads in areas such as insurance claims management,
complex credit granting and dispute management, healthcare coordination, identification and management of at-risk students, government benefits management, fraud identification and resolution, incident management, complex loan origination, and contract execution.
Learn more about how to use ACM on this link
So, we start with existing documents and images which we can convert to digital format with DataCap.
This is a very powerful architecture that promises to revolutionize traditional Case Management in a significant way.
IBM Content and Predictive Analytics for Healthcare is the first solution to help healthcare organizations transform information into insight by:
Integrating structured and unstructured data.
Applying predictive root cause analysis, natural language processing – like that at the core of IBM Watson –and built-in medical terminology support and
Identifying trends, patterns and deviations revealing clinical and operational insights.
For more information on this solution, either click on the URLs above or append a question to this blog post.
To quote from the Wikipedia,
"at a basic level, MDM seeks to ensure that an organization does not use
multiple (potentially inconsistent) versions of the same master data in
different parts of its operations, which can occur in large
A common example of poor MDM is the scenario of a bank at
which a customer
has taken out a mortgage
and the bank begins to send mortgage solicitations to that customer,
ignoring the fact that the person already has a mortgage account
relationship with the bank."
MDM is perhaps even more important in healthcare. and the IBM Infosphere Master Data Management
"helps make healthcare smarter. MDM enables healthcare organizations to
connect disparate pieces of patient, provider and member information
across hospitals, clinics and lines of business, into a single,
actionable view. Armed with a complete picture of the patient, member
- Care providers can improve
care by consistently sharing information with the hospitals, labs and
specialists they refer to without compromising patient confidentiality
- Healthcare organizations can implement advanced analytics, to pinpoint emerging opportunities for better patient care
- Hospitals and insurance plans can ensure a consistent patient experience, whether in person, online, or by mobile phone
- Health insurance plans can craft targeted product bundles and encourage treatment protocols based on demonstrated outcomes
agencies and HIEs can establish an infrastructure that encourages
transparency and accountability for improved care delivery
- Healthcare organizations can speed systems rationalization projects after mergers and acquisitions
We can think of MDM as smart data, where a hospital has instant access to a patient's history and personal information so that it doesn't suggest tests that have already been taken or recommends a pregnancy test to a man who has recently gained a lot of weight. Data about patients are shared in a secure network without providing more personal information than a department needs.
A typical example is that demographic information may be changed without divulging the person's name, social security number or address.
Minimize your clinical risks and improve quality of care by making
patient information available where you need it, when you need it, and
in the format you need it in.
out-of-the-box connectivity and time saving patterns for healthcare
providers seeking to integrate clinical applications based on HL7.
- Routes, transforms, and customizes content between different systems and applications.
- Provides extensive message logging and reporting to allow operational management of clinical applications.
- Provides easy on-ramp to a robust, scalable, and high-performance integration solution.
on the functions offered by WebSphere Message Broker enabling flexible
and extensible connectivity between many types of applications running
in the healthcare environment and beyond.
|Pre-built patterns for HL7-based clinical information flows
Provides a tailored set of configuration and deployment options which
directly address common solution requirements in the acute care sector
and are customized to the needs of the healthcare provider
Patterns reduce configuration and deployment time and expense|
Collate clinical data
Easily perform sequencing, auditing, validation, duplication checking and processing of data across heterogeneous systems
Improve the quality and availability of patient data across your healthcare environment|
Routes and transforms data
Share and validate patient data across disparate clinical applications and Electronic Medial Records (EMR)
Choose best-of-breed clinical applications for each function, without
sacrificing the clarity and integrity of information flowing between
systems and departments|
Graphical performance monitoring and reporting
Provides extensive message logging, reporting and control for ease of
operational management of data flows between connected systems in your
Use the IBM Health Plan Datamodel in conjunction with the IBM InfoSphere porfolio to:
- Measure the cost and effectiveness of health care, based on the latest regulations
- Assess the effectiveness of health care providers and negotiate reimbursement rates accordingly
- Communicate with other health plans and providers, based on the most current attributes of good health care
- Determine U.S.-centric, standard-based content (for example, HIPAA, HEDIS) from the set that applies on a global level
- Reorganize focus areas and atomic subject areas to reduce focus on U.S.-specific standards
The Health Plan Data Model is part of the IBM InfoSphere software portfolio. It delivers:
- Predefined content for data warehousing to help provide trusted information to the right people at the right time
- A basis for defining statutory and corporate standards
- Support for the Health Insurance Portability and Accountability Act (HIPAA) 5010 specification
- Updates to the NCQA Healthcare Effectiveness and Data Information Set (HEDIS) standard
- Support for the retention of Health Insurance Prospective Payment System (HIPPS) codes in relation to claims and use of HIPPS as a dimension in relevant analysis
- Support for the reorganization of U.S.-specific standards to help increase international relevance
- The Health Plan Data Model:
- Enables business users to scope and customize their own requirements
- Facilitates step-by-step business-focused development and rollout
- Delivers updated business, technical, and regulatory content IBM United States Software Announcement 209-457 IBM is a registered trademark of International Business Machines Corporation
- Manages definitions and standards in complex business and IT environments
- Can be used for data governance and standardization, operational insight, risk and compliance, and performance management projects