Big Data: Moving Beyond the Buzzword

Size: px
Start display at page:

Download "Big Data: Moving Beyond the Buzzword"

Transcription

1 by Michael Garzone Solutions Director, Technology Solutions Big Data seems to have become the latest marketing buzzword. While there is a lot of talk about it, do we really understand what Big Data means to healthcare? Big Data: Moving Beyond the Buzzword Executive Summary Big Data. It is a buzzword we have all heard. However, while there is a lot of talk about it, do we really understand what Big Data means to healthcare? According to IBM, 90 percent of the data in the world today has been created in the last two years alone. A staggering proportion of this data, 80 percent 1, is unstructured. So what is driving the creation of this new data? In the healthcare industry, we all understand the impact of the Health Information Technology for Economic and Clinical Health (HITECH) Act. HITECH mandates that eligible professionals and hospitals must successfully attest to demonstrating meaningful use (MU) of certified electronic health records (EHRs) in order to qualify for incentive payments through the Medicare EHR Incentive Program administered by the Centers for Medicare and Medicaid Services (CMS). In addition to MU, the healthcare industry has witnessed continued science and technology advancements, regulatory mandates such as the 5010 and ICD-10 requirements, and the expansion of the social media-driven and connected consumers all of which drive additional data elements. Greater and more detailed clinical documentation will be required to derive accurate codification from expanded ICD-10 diagnosis codes. The continued expansion of biomedical and bedside devices will result in increasing amounts of streaming data (e.g., diagnostic measurements, images,.wav files, video, etc.). Recent advances in medical and human genetics have healthcare organizations on the doorstep of personalized medicine, where genomic sequencing will be applied to the medical care of individual patients. The amount of sequenced data produced alone will be tremendous. 1 Watson: Learning Its Way to Saving Lives. Jon Gertner, Fast Company. October 22, Accessed on April 23, 2013, at

2 Natural Language Processing (NLP) technology not only simplifies the dictation process, but technology advancements are creating new use cases for capturing the spoken word as a data asset. With the introduction of secure messaging between clinicians, and between clinicians and patients, the content of these messages has new meaning and will continue to produce tremendous amounts of unstructured data. The resulting increased volume and detail will continue to feed explosive data growth for the foreseeable future. According to the McKinsey Global Institute, if U.S. healthcare were to use Big Data in a creative and efficient manner in their efforts to drive efficiency and quality, the healthcare sector could create more than $300 billion in value every year (two-thirds of which would be recognized in an approximate 8 percent reduction in overall healthcare expenditures) 2. A fundamental prerequisite to launching a Big Data initiative is the establishment of a data- driven culture. This often necessitates changes to an organization s strategic goals and core business processes as well as the key skills needed by its employees. Big Data has moved beyond just being a buzzword in healthcare. It is here to stay. The question then becomes how organizations will leverage this mountain of data as a strategic asset. Building a Foundation for Big Data Business Intelligence (BI) technology is advancing. New tools are entering the market and existing tools continue to evolve to make better use of this wave of growing data. But tools alone won t make a BI project successful. Success lies in the effective use of these tools in order to drive useful information out of this new and collected data. A fundamental prerequisite to launching a Big Data initiative is the establishment of a datadriven culture. This often necessitates changes to an organization s strategic goals and core business processes as well as the key skills needed by its employees. Establishment of such a culture is a top-down process requiring ongoing support from the executive team to implement two vitally important programs: Data Governance and Master Data Management. Data Governance Data Governance establishes the roles, responsibilities, and workflow for managing the organization s enterprise-wide reference data (e.g., Patient, PCP Provider, DRG, or Location). The ultimate objective is to establish Data Owners who are ultimately accountable for one or more of these Master Data types. Data Owners are supported by Business and Technical Data Stewards who prepare data definitions and algorithms for metrics that roll up to a Key Performance Indicator (KPI). Data Stewards also play a vital role in data quality assurance, which is absolutely essential if information stakeholders are to maintain high confidence in the data they need to make decisions. Data Ownership and Stewardship ensure the consistency of the organization s data definitions, metrics, and KPIs. This consistency is an important requirement in the management of information as a strategic corporate asset. 2 Big data: The next frontier for innovation, competition, and productivity, May McKinsey & Company. Accessed on April 16, 2013, at 2

3 Master Data Management Master Data Management (MDM) is the enabling technology for Data Governance. It provides the technical infrastructure that allows Data Owners and Stewards to easily maintain the organization s Master Data assets. Without an MDM strategy, many Data Governance initiatives fail to achieve their objectives as the sheer amount of effort required to maintain the Master Data is far too onerous. It is important to note that Big Data environments are as dependent upon Master Data as enterprise data warehouses or data marts. A source of truth for patient and provider data is every bit as important in a Big Data environment, and Data Governance/MDM provide the requisite organization structure, workflow, and tools. One of the first decisions that organizations must make as they consider a Big Data initiative is to determine where it fits in their existing data architecture. It is imperative to develop a strategy for incorporating Big Data rather than allowing it to become a vast unstructured data silo. One of the first decisions that organizations must make as they consider a Big Data initiative is to determine where it fits in their existing data architecture. Big Data most often complements, rather than replaces, the platforms that have already been implemented to analyze structured data. It is imperative to develop a strategy for incorporating Big Data rather than allowing it to become a vast unstructured data silo. Tools for Success The traditional relational database model, with pre-computed business logic, still has a place in healthcare and will continue to have one. These databases are a foundation for driving analytical measures and producing operational performance management dashboards. Relational database architectures work best when predictable queries are run over relatively structured data. This lies at the heart of most BI and data warehousing initiatives. Performance management relies heavily on structured data with precomputed calculations and measures to support fact-based analysis and decision making. The architecture of these traditional models is fundamental for tracking KPIs and providing the reporting and dashboards that organizations require to manage enterprise operation. EHR companies recognize the importance of data. While most EHR applications are transactional in nature, most vendors understand the future importance of analytics and are providing the capability for business (clinical) intelligence. The market is also beginning to see emerging third-party entries offering cloud-based analytical platforms to augment the EHR environment. Here are a few examples: Epic Systems Corporation has recently launched Cogito, an open analytics environment consisting of a library of pre-built registries and analytical data marts for prevalent chronic conditions, MU metric collection with standard reporting to satisfy most compliance regulations, and benchmarking programs. Cerner Corporation provides PowerInsight, a structured data warehouse that combines clinical, management, operational, and financial data into a central decision support platform. Health Catalyst couples optimization services with its Catalyst platform, a combination Late-Binding Data Warehouse and source data mart that links master reference data across source marts. Health Care DataWorks KnowledgeEdge is an enterprise data warehouse solution that normalizes enterprise data for use with pre-built dashboards, reports, and applications. 3

4 Some of them do a very good job of reporting well-known critical performance indicators. All appear to be continuing to improve upon their functionality and usability. The questions organizations are asking today are: Are these relational solutions enough to address today s healthcare business issues? How do these solutions integrate with our overall data architecture? And probably the biggest unknown, will they address my Big Data issues ahead? With Volume Comes Complexity Data is getting more complicated. The need to query very large amounts of information with new kinds of processing is clear and not just transactional processing, but largescale data analysis. With growing volumes of data, traditional data collection, storage, and analysis methods will most likely reach their functional capacity in the near future. Data is getting more complicated. This huge volume of largely free-text and unstructured data does not fit nicely into tables, and even if it did, the questions posed today require queries to inspect the natural language within the unstructured data. SQL doesn t have syntax for that. The need to query very large amounts of information with new kinds of processing is clear and not just transactional processing, but large-scale data analysis. Addressing the Big Data Analysis Dilemma In determining how healthcare will address the issues posed by Big Data, we can look at how other industries have addressed the same. In the early 2000s, Google was ingesting and indexing the entire internet every day or two. This exponentially growing mountain of unstructured data had pushed traditional processing to its limit. In 2004, Google created MapReduce, which took this large volume of data and broke it into manageable chunks and spread it across a large array of commodity servers (Map). Each server had dedicated storage and computational capacity. MapReduce then leveraged the CPU of each server to act on its individual block. When each CPU completed its action, MapReduce assembled, or reduced, the result. Essentially, Google took what was once a very large and long serial indexing process and broke it into many smaller parallel indexing processes, also known as data parallelism. It is this data parallelism that enables companies like Google, Yahoo, Facebook, and Twitter to function at this exponential data scale every day. Hadoop is the open source incarnation of Google s MapReduce architecture, consisting of: The Hadoop Distributed File System (HDFS), a large-scale distributed file system which is the software infrastructure that combines multiple servers and manages the distribution of data across each. The MapReduce component, which is the software infrastructure to push the code to each server to enable parallel data analysis all servers. Both components allow scalability through the addition of servers as volume increases potentially even to a Google-like proportion. Hadoop is flexible and elastic a true cloud computing model that allows support redundancy to prevent server or disk loss outage. Hadoop will not replace existing traditional models regardless of the EHR provided, thirdparty, or home-grown data warehouse at least not yet. But it can and will be combined with NoSQL-based products such as Cassandra, Voldemort, and Couchbase using distributed hash tables and columnar storage to address complex data issues. Combining these new technolo- 4

5 gies with your overall data architecture will provide the advanced capability of managing transactional assets while also ingesting unstructured complex data. Making the Best Choice for Your Organization While most healthcare provider organizations share common goals and must all adapt to changing regulatory mandates, science and technology advancements, the evermore connected consumer, and other market demands not yet known, few organizations are identical. Each has slightly different application portfolios, lines of business, and stages of MU and data maturity. Before making architecture decisions, we recommend the following: One of the first About the Author Michael decisions Garzone that provides delivery oversight and coordinates organizations the development must of comprehensive advanced make as they consider technology solutions that address enterprise strategic, a Big Data initiative is financial, operational, clinical, and health reform objectives to determine where it for our clients. He fits specializes in their in existing integration and interoperability, infrastructure, data architecture. health information exchange, business intelligence, It is imperative data warehousing, to report development, data develop a strategy for center infrastructure, business and care continuity, security, incorporating Big Data and cloud computing. Define your information management strategy. Create a roadmap as a guideline for data-related decisions. Routinely revisit your roadmap to consider new technology and advancements. Implement a data governance program. Remember that garbage in equals garbage out. Data governance ensures greater accountability for information quality as well as more consistent definitions and business rules. Choose technology that is aimed at a specific problem or need. Do not try to shoehorn data into poorly planned architectures. Plan an architecture that is scalable. Only organizations that create and manage to scale-out systems will be able to continue to address the ongoing rapid data growth. Don t let security be an afterthought. Big Data is introducing new and never-before addressed access challenges and security vulnerabilities. Without proper controls, Big Data can result in a Big Breach. Evidence of the advancement of data is all around us, but the full impact of Big Data in health care is still to come. Organizations that manage data as an asset and embrace the usability of large unstructured data pools will be positioned to reap both financial and performance improvements. rather than allowing For More Information it to become a vast Michael Garzone Solutions Director, unstructured data silo. Technology Services

Information Architecture

Information Architecture The Bloor Group Actian and The Big Data Information Architecture WHITE PAPER The Actian Big Data Information Architecture Actian and The Big Data Information Architecture Originally founded in 2005 to

More information

www.pwc.com/oracle Next presentation starting soon Business Analytics using Big Data to gain competitive advantage

www.pwc.com/oracle Next presentation starting soon Business Analytics using Big Data to gain competitive advantage www.pwc.com/oracle Next presentation starting soon Business Analytics using Big Data to gain competitive advantage If every image made and every word written from the earliest stirring of civilization

More information

The Principles of the Business Data Lake

The Principles of the Business Data Lake The Principles of the Business Data Lake The Business Data Lake Culture eats Strategy for Breakfast, so said Peter Drucker, elegantly making the point that the hardest thing to change in any organization

More information

Secure Cloud Computing Concepts Supporting Big Data in Healthcare. Ryan D. Pehrson Director, Solutions & Architecture Integrated Data Storage, LLC

Secure Cloud Computing Concepts Supporting Big Data in Healthcare. Ryan D. Pehrson Director, Solutions & Architecture Integrated Data Storage, LLC Secure Cloud Computing Concepts Supporting Big Data in Healthcare Ryan D. Pehrson Director, Solutions & Architecture Integrated Data Storage, LLC Learning Objectives After this session, the learner should

More information

BEST PRACTICES FOR MANAGING THE EVOLUTION OF EHRS

BEST PRACTICES FOR MANAGING THE EVOLUTION OF EHRS E-Guide BEST PRACTICES FOR MANAGING THE EVOLUTION OF EHRS SearchHealthIT W ith a focus on, the next wave of EHRs will incorporate powers of big data, speech recognition and new database models. This eguide

More information

Big Data Defined Introducing DataStack 3.0

Big Data Defined Introducing DataStack 3.0 Big Data Big Data Defined Introducing DataStack 3.0 Inside: Executive Summary... 1 Introduction... 2 Emergence of DataStack 3.0... 3 DataStack 1.0 to 2.0... 4 DataStack 2.0 Refined for Large Data & Analytics...

More information

The Rise of Industrial Big Data

The Rise of Industrial Big Data GE Intelligent Platforms The Rise of Industrial Big Data Leveraging large time-series data sets to drive innovation, competitiveness and growth capitalizing on the big data opportunity The Rise of Industrial

More information

The Future of Data Management

The Future of Data Management The Future of Data Management with Hadoop and the Enterprise Data Hub Amr Awadallah (@awadallah) Cofounder and CTO Cloudera Snapshot Founded 2008, by former employees of Employees Today ~ 800 World Class

More information

We are Big Data A Sonian Whitepaper

We are Big Data A Sonian Whitepaper EXECUTIVE SUMMARY Big Data is not an uncommon term in the technology industry anymore. It s of big interest to many leading IT providers and archiving companies. But what is Big Data? While many have formed

More information

PRIME DIMENSIONS. Revealing insights. Shaping the future.

PRIME DIMENSIONS. Revealing insights. Shaping the future. PRIME DIMENSIONS Revealing insights. Shaping the future. Service Offering Prime Dimensions offers expertise in the processes, tools, and techniques associated with: Data Management Business Intelligence

More information

Making the Most of Meaningful Use: Why Choosing the Right EHR Matters

Making the Most of Meaningful Use: Why Choosing the Right EHR Matters Making the Most of Meaningful Use: Why Choosing the Right EHR Matters Most healthcare professionals understand how electronic health records (EHRs) can drive greater patient engagement and improve the

More information

CrossPoint for Managed Collaboration and Data Quality Analytics

CrossPoint for Managed Collaboration and Data Quality Analytics CrossPoint for Managed Collaboration and Data Quality Analytics Share and collaborate on healthcare files. Improve transparency with data quality and archival analytics. Ajilitee 2012 Smarter collaboration

More information

Managing Big Data with Hadoop & Vertica. A look at integration between the Cloudera distribution for Hadoop and the Vertica Analytic Database

Managing Big Data with Hadoop & Vertica. A look at integration between the Cloudera distribution for Hadoop and the Vertica Analytic Database Managing Big Data with Hadoop & Vertica A look at integration between the Cloudera distribution for Hadoop and the Vertica Analytic Database Copyright Vertica Systems, Inc. October 2009 Cloudera and Vertica

More information

Big Data - Infrastructure Considerations

Big Data - Infrastructure Considerations April 2014, HAPPIEST MINDS TECHNOLOGIES Big Data - Infrastructure Considerations Author Anand Veeramani / Deepak Shivamurthy SHARING. MINDFUL. INTEGRITY. LEARNING. EXCELLENCE. SOCIAL RESPONSIBILITY. Copyright

More information

Business Intelligence in Healthcare: Trying to Get it Right the First Time!

Business Intelligence in Healthcare: Trying to Get it Right the First Time! Business Intelligence in Healthcare: Trying to Get it Right the First Time! David E. Garets, FHIMSS DISCLAIMER: The views and opinions expressed in this presentation are those of the author and do not

More information

Tap into Big Data at the Speed of Business

Tap into Big Data at the Speed of Business SAP Brief SAP Technology SAP Sybase IQ Objectives Tap into Big Data at the Speed of Business A simpler, more affordable approach to Big Data analytics A simpler, more affordable approach to Big Data analytics

More information

Integrate Big Data into Business Processes and Enterprise Systems. solution white paper

Integrate Big Data into Business Processes and Enterprise Systems. solution white paper Integrate Big Data into Business Processes and Enterprise Systems solution white paper THOUGHT LEADERSHIP FROM BMC TO HELP YOU: Understand what Big Data means Effectively implement your company s Big Data

More information

Big Data: Overview and Roadmap. 2015 eglobaltech. All rights reserved.

Big Data: Overview and Roadmap. 2015 eglobaltech. All rights reserved. Big Data: Overview and Roadmap 2015 eglobaltech. All rights reserved. What is Big Data? Large volumes of complex and variable data that require advanced techniques and technologies to enable capture, storage,

More information

WHITEPAPER 6 EHR TRENDS to Watch in

WHITEPAPER 6 EHR TRENDS to Watch in WHITEPAPER 6 EHR TRENDS to Watch in 2015 INTRODUCTION Since the passage of the HITECH Act in 2009, the healthcare industry has undergone rapid changes in technology. The adoption of electronic health records

More information

Perspective: Health Catalyst A Fresh Approach and Architecture for Clinical Analytics

Perspective: Health Catalyst A Fresh Approach and Architecture for Clinical Analytics Perspective: Health Catalyst A Fresh Approach and Architecture for Clinical Analytics PERSPECTIVE Judy Hanover # HI239639 Global Headquarters: 5 Speen Street Framingham, MA 01701 USA P.508.935.4445 F.508.988.7881

More information

Technical Management Strategic Capabilities Statement. Business Solutions for the Future

Technical Management Strategic Capabilities Statement. Business Solutions for the Future Technical Management Strategic Capabilities Statement Business Solutions for the Future When your business survival is at stake, you can t afford chances. So Don t. Think partnership think MTT Associates.

More information

Data Governance. Unlocking Value and Controlling Risk. Data Governance. www.mindyourprivacy.com

Data Governance. Unlocking Value and Controlling Risk. Data Governance. www.mindyourprivacy.com Data Governance Unlocking Value and Controlling Risk 1 White Paper Data Governance Table of contents Introduction... 3 Data Governance Program Goals in light of Privacy... 4 Data Governance Program Pillars...

More information

The Cloud at Crawford. Evaluating the pros and cons of cloud computing and its use in claims management

The Cloud at Crawford. Evaluating the pros and cons of cloud computing and its use in claims management The Cloud at Crawford Evaluating the pros and cons of cloud computing and its use in claims management The Cloud at Crawford Wikipedia defines cloud computing as Internet-based computing, whereby shared

More information

SUCCESSES AND CHALLENGES DEVELOPING AN ENTERPRISE CLINICAL ANALYTICS SOLUTION Ambulatory Information Management (AIM)

SUCCESSES AND CHALLENGES DEVELOPING AN ENTERPRISE CLINICAL ANALYTICS SOLUTION Ambulatory Information Management (AIM) SUCCESSES AND CHALLENGES DEVELOPING AN ENTERPRISE CLINICAL ANALYTICS SOLUTION Ambulatory Information Management (AIM) Dennis P. Sweeney, MBA July 16, 2013 Dennis P. Sweeney, MBA Mr. Dennis Sweeney, Tellogic

More information

Big Data. White Paper. Big Data Executive Overview WP-BD-10312014-01. Jafar Shunnar & Dan Raver. Page 1 Last Updated 11-10-2014

Big Data. White Paper. Big Data Executive Overview WP-BD-10312014-01. Jafar Shunnar & Dan Raver. Page 1 Last Updated 11-10-2014 White Paper Big Data Executive Overview WP-BD-10312014-01 By Jafar Shunnar & Dan Raver Page 1 Last Updated 11-10-2014 Table of Contents Section 01 Big Data Facts Page 3-4 Section 02 What is Big Data? Page

More information

Big Data Buzzwords From A to Z. By Rick Whiting, CRN 4:00 PM ET Wed. Nov. 28, 2012

Big Data Buzzwords From A to Z. By Rick Whiting, CRN 4:00 PM ET Wed. Nov. 28, 2012 Big Data Buzzwords From A to Z By Rick Whiting, CRN 4:00 PM ET Wed. Nov. 28, 2012 Big Data Buzzwords Big data is one of the, well, biggest trends in IT today, and it has spawned a whole new generation

More information

www.sryas.com Analance Data Integration Technical Whitepaper

www.sryas.com Analance Data Integration Technical Whitepaper Analance Data Integration Technical Whitepaper Executive Summary Business Intelligence is a thriving discipline in the marvelous era of computing in which we live. It s the process of analyzing and exploring

More information

Integrating Big Data into Business Processes and Enterprise Systems

Integrating Big Data into Business Processes and Enterprise Systems Integrating Big Data into Business Processes and Enterprise Systems THOUGHT LEADERSHIP FROM BMC TO HELP YOU: Understand what Big Data means Effectively implement your company s Big Data strategy Get business

More information

Keywords Big Data, NoSQL, Relational Databases, Decision Making using Big Data, Hadoop

Keywords Big Data, NoSQL, Relational Databases, Decision Making using Big Data, Hadoop Volume 4, Issue 1, January 2014 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Transitioning

More information

State of the HEALTHCARE IT MARKET: 2016 A WHITE PAPER FOR KEYBANC CAPITAL MARKETS BY MODERN HEALTHCARE CUSTOM MEDIA

State of the HEALTHCARE IT MARKET: 2016 A WHITE PAPER FOR KEYBANC CAPITAL MARKETS BY MODERN HEALTHCARE CUSTOM MEDIA State of the HEALTHCARE IT MARKET: 2016 A WHITE PAPER FOR KEYBANC CAPITAL MARKETS BY MODERN HEALTHCARE CUSTOM MEDIA THIS WHITE PAPER EXPLORES THE CURRENT AND FUTURE HEALTHCARE IT TRENDS. IT LAYS OUT THE

More information

Demonstrating Meaningful Use of EHRs: The top 10 compliance challenges for Stage 1 and what s new with 2

Demonstrating Meaningful Use of EHRs: The top 10 compliance challenges for Stage 1 and what s new with 2 Demonstrating Meaningful Use of EHRs: The top 10 compliance challenges for Stage 1 and what s new with 2 Today s discussion A three-stage approach to achieving Meaningful Use Top 10 compliance challenges

More information

WHITE PAPER. Caradigm Healthcare Analytics. Healthcare Analytics

WHITE PAPER. Caradigm Healthcare Analytics. Healthcare Analytics WHITE PAPER We have witnessed a major paradigm shift in healthcare information management over the past decade, instigated by the birth of electronic medical records and medical informatics. This new world

More information

Turning Big Data into Big Insights

Turning Big Data into Big Insights mwd a d v i s o r s Turning Big Data into Big Insights Helena Schwenk A special report prepared for Actuate May 2013 This report is the fourth in a series and focuses principally on explaining what s needed

More information

Navigating Big Data business analytics

Navigating Big Data business analytics mwd a d v i s o r s Navigating Big Data business analytics Helena Schwenk A special report prepared for Actuate May 2013 This report is the third in a series and focuses principally on explaining what

More information

Virtualizing Apache Hadoop. June, 2012

Virtualizing Apache Hadoop. June, 2012 June, 2012 Table of Contents EXECUTIVE SUMMARY... 3 INTRODUCTION... 3 VIRTUALIZING APACHE HADOOP... 4 INTRODUCTION TO VSPHERE TM... 4 USE CASES AND ADVANTAGES OF VIRTUALIZING HADOOP... 4 MYTHS ABOUT RUNNING

More information

Big Data at Cloud Scale

Big Data at Cloud Scale Big Data at Cloud Scale Pushing the limits of flexible & powerful analytics Copyright 2015 Pentaho Corporation. Redistribution permitted. All trademarks are the property of their respective owners. For

More information

BIG DATA TRENDS AND TECHNOLOGIES

BIG DATA TRENDS AND TECHNOLOGIES BIG DATA TRENDS AND TECHNOLOGIES THE WORLD OF DATA IS CHANGING Cloud WHAT IS BIG DATA? Big data are datasets that grow so large that they become awkward to work with using onhand database management tools.

More information

The Definitive Guide to Data Blending. White Paper

The Definitive Guide to Data Blending. White Paper The Definitive Guide to Data Blending White Paper Leveraging Alteryx Analytics for data blending you can: Gather and blend data from virtually any data source including local, third-party, and cloud/ social

More information

Big Data Analytics in Health Care

Big Data Analytics in Health Care Big Data Analytics in Health Care S. G. Nandhini 1, V. Lavanya 2, K.Vasantha Kokilam 3 1 13mss032, 2 13mss025, III. M.Sc (software systems), SRI KRISHNA ARTS AND SCIENCE COLLEGE, 3 Assistant Professor,

More information

Global Headquarters: 5 Speen Street Framingham, MA 01701 USA P.508.935.4445 F.508.988.7881 www.idc-hi.com

Global Headquarters: 5 Speen Street Framingham, MA 01701 USA P.508.935.4445 F.508.988.7881 www.idc-hi.com Global Headquarters: 5 Speen Street Framingham, MA 01701 USA P.508.935.4445 F.508.988.7881 www.idc-hi.com L e v e raging Big Data to Build a F o undation f o r Accountable Healthcare C U S T O M I N D

More information

Early Lessons learned from strong revenue cycle performers

Early Lessons learned from strong revenue cycle performers Healthcare Informatics June 2012 Accountable Care Organizations Early Lessons learned from strong revenue cycle performers Healthcare Informatics Accountable Care Organizations Early Lessons learned from

More information

Business Usage Monitoring for Teradata

Business Usage Monitoring for Teradata Managing Big Analytic Data Business Usage Monitoring for Teradata Increasing Operational Efficiency and Reducing Data Management Costs How to Increase Operational Efficiency and Reduce Data Management

More information

Proact whitepaper on Big Data

Proact whitepaper on Big Data Proact whitepaper on Big Data Summary Big Data is not a definite term. Even if it sounds like just another buzz word, it manifests some interesting opportunities for organisations with the skill, resources

More information

BIG DATA: FIVE TACTICS TO MODERNIZE YOUR DATA WAREHOUSE

BIG DATA: FIVE TACTICS TO MODERNIZE YOUR DATA WAREHOUSE BIG DATA: FIVE TACTICS TO MODERNIZE YOUR DATA WAREHOUSE Current technology for Big Data allows organizations to dramatically improve return on investment (ROI) from their existing data warehouse environment.

More information

WHITEPAPER HOW MUCH COMPLIANCE DOES YOUR EHR UNDERSTAND?

WHITEPAPER HOW MUCH COMPLIANCE DOES YOUR EHR UNDERSTAND? WHITEPAPER HOW MUCH COMPLIANCE DOES YOUR EHR UNDERSTAND? 1 INTRODUCTION Process regulations and compliance have been the major gauges brought in by regulatory authorities in U.S. to ensure that hospitals

More information

emipp Extending Medicaid Connectivity for Managing EHR Incentive Payments Overview

emipp Extending Medicaid Connectivity for Managing EHR Incentive Payments Overview Extending Medicaid Connectivity for Managing EHR Incentive Payments JANUARY 2011 Registration for EHR Incentive Program begins APRIL 2011 Attestation for the Medicare EHR Incentive Program begins NOVEMBER

More information

Offload Enterprise Data Warehouse (EDW) to Big Data Lake. Ample White Paper

Offload Enterprise Data Warehouse (EDW) to Big Data Lake. Ample White Paper Offload Enterprise Data Warehouse (EDW) to Big Data Lake Oracle Exadata, Teradata, Netezza and SQL Server Ample White Paper EDW (Enterprise Data Warehouse) Offloads The EDW (Enterprise Data Warehouse)

More information

CMS AND ONC FINAL REGULATIONS DEFINE MEANINGFUL USE AND SET STANDARDS FOR ELECTRONIC HEALTH RECORD INCENTIVE PROGRAM

CMS AND ONC FINAL REGULATIONS DEFINE MEANINGFUL USE AND SET STANDARDS FOR ELECTRONIC HEALTH RECORD INCENTIVE PROGRAM CMS AND ONC FINAL REGULATIONS DEFINE MEANINGFUL USE AND SET STANDARDS FOR ELECTRONIC HEALTH RECORD INCENTIVE PROGRAM The Centers for Medicare & Medicaid Services (CMS) and the Office of the National Coordinator

More information

DIVURGENT S ACORM FRAMEWORK

DIVURGENT S ACORM FRAMEWORK white paper DIVURGENT S ACORM FRAMEWORK The Right IT Infrastructure for ACOs written by David Shiple CMS Is Driving ACO IT Planning After reading the final rule for Medicare Accountable Care Organizations

More information

OPEN MODERN DATA ARCHITECTURE FOR FINANCIAL SERVICES RISK MANAGEMENT

OPEN MODERN DATA ARCHITECTURE FOR FINANCIAL SERVICES RISK MANAGEMENT WHITEPAPER OPEN MODERN DATA ARCHITECTURE FOR FINANCIAL SERVICES RISK MANAGEMENT A top-tier global bank s end-of-day risk analysis jobs didn t complete in time for the next start of trading day. To solve

More information

WE ARE THE BREAKTHROUGH TECHNOLOGY BEHIND ACTIONABLE, LIFE-CHANGING DATA.

WE ARE THE BREAKTHROUGH TECHNOLOGY BEHIND ACTIONABLE, LIFE-CHANGING DATA. WE ARE THE BREAKTHROUGH TECHNOLOGY BEHIND ACTIONABLE, LIFE-CHANGING DATA. T H E R E G I S T R Y E X P E R T S WE MAKE THE IMPOSSIBLE, POSSIBLE. Innovation, and exceptional delivery of that innovation,

More information

TAMING THE BIG CHALLENGE OF BIG DATA MICROSOFT HADOOP

TAMING THE BIG CHALLENGE OF BIG DATA MICROSOFT HADOOP Pythian White Paper TAMING THE BIG CHALLENGE OF BIG DATA MICROSOFT HADOOP ABSTRACT As companies increasingly rely on big data to steer decisions, they also find themselves looking for ways to simplify

More information

Integrating Hadoop. Into Business Intelligence & Data Warehousing. Philip Russom TDWI Research Director for Data Management, April 9 2013

Integrating Hadoop. Into Business Intelligence & Data Warehousing. Philip Russom TDWI Research Director for Data Management, April 9 2013 Integrating Hadoop Into Business Intelligence & Data Warehousing Philip Russom TDWI Research Director for Data Management, April 9 2013 TDWI would like to thank the following companies for sponsoring the

More information

Delivering real Information Management solutions that result in better, more efficient healthcare.

Delivering real Information Management solutions that result in better, more efficient healthcare. Delivering real Information Management solutions that result in better, more efficient healthcare. For more than 30 years, we have helped companies overcome challenges and identify opportunities to achieve

More information

Electronic Health Records. Going Beyond Data Collection to Making the Data Usable

Electronic Health Records. Going Beyond Data Collection to Making the Data Usable Electronic Health Records Going Beyond Data Collection to Making the Data Usable Overview Compliance to the Meaningful Use guidelines in the Health Information Technology Economic and Clinical Health (HITECH)

More information

Big Data Open Source Stack vs. Traditional Stack for BI and Analytics

Big Data Open Source Stack vs. Traditional Stack for BI and Analytics Big Data Open Source Stack vs. Traditional Stack for BI and Analytics Part I By Sam Poozhikala, Vice President Customer Solutions at StratApps Inc. 4/4/2014 You may contact Sam Poozhikala at spoozhikala@stratapps.com.

More information

Avoiding Big Failure with Big Data

Avoiding Big Failure with Big Data Avoiding Big Failure with Big Data By Doug Slemmer, President and CEO of iolap, Inc. Companies are being pressured on multiple fronts to do something amazing with Big Data. But should the brakes be applied,

More information

With the Emergence of Big Data, Where do Relational Technologies Fit?

With the Emergence of Big Data, Where do Relational Technologies Fit? With the Emergence of Big Data, Where do Relational Technologies Fit? Donna Burbank VP Product Marketing CA Technologies DAMA Chicago June 2013 Who am I? More than more than 15 years of experience in the

More information

Big Data Explained. An introduction to Big Data Science.

Big Data Explained. An introduction to Big Data Science. Big Data Explained An introduction to Big Data Science. 1 Presentation Agenda What is Big Data Why learn Big Data Who is it for How to start learning Big Data When to learn it Objective and Benefits of

More information

Angela Nutt Resurrecting BusinessObjects For Meaningful Use and Integrated Electronic Health Record Reporting Session # 2732

Angela Nutt Resurrecting BusinessObjects For Meaningful Use and Integrated Electronic Health Record Reporting Session # 2732 Angela Nutt Resurrecting BusinessObjects For Meaningful Use and Integrated Electronic Health Record Reporting Session # 2732 Oregon Health & Science University is a nationally prominent research university

More information

Business Analytics in the Cloud Rapid, Low-cost Deployment for the Enterprise

Business Analytics in the Cloud Rapid, Low-cost Deployment for the Enterprise Business Analytics in the Cloud Rapid, Low-cost Deployment for the Enterprise Mike Biere Rocket Software March 11, 2014 4:30pm 5:30pm Session Number (15315) Grand Ballroom Salon H www.share.org In summary

More information

For healthcare, change is in the air and in the cloud

For healthcare, change is in the air and in the cloud IBM Software Healthcare Thought Leadership White Paper For healthcare, change is in the air and in the cloud Scalable and secure private cloud solutions can meet the challenges of healthcare transformation

More information

BENCHMARKING CLOUD DATABASES CASE STUDY on HBASE, HADOOP and CASSANDRA USING YCSB

BENCHMARKING CLOUD DATABASES CASE STUDY on HBASE, HADOOP and CASSANDRA USING YCSB BENCHMARKING CLOUD DATABASES CASE STUDY on HBASE, HADOOP and CASSANDRA USING YCSB Planet Size Data!? Gartner s 10 key IT trends for 2012 unstructured data will grow some 80% over the course of the next

More information

Using Big Data for Smarter Decision Making. Colin White, BI Research July 2011 Sponsored by IBM

Using Big Data for Smarter Decision Making. Colin White, BI Research July 2011 Sponsored by IBM Using Big Data for Smarter Decision Making Colin White, BI Research July 2011 Sponsored by IBM USING BIG DATA FOR SMARTER DECISION MAKING To increase competitiveness, 83% of CIOs have visionary plans that

More information

www.ducenit.com Analance Data Integration Technical Whitepaper

www.ducenit.com Analance Data Integration Technical Whitepaper Analance Data Integration Technical Whitepaper Executive Summary Business Intelligence is a thriving discipline in the marvelous era of computing in which we live. It s the process of analyzing and exploring

More information

Alexander Nikov. 5. Database Systems and Managing Data Resources. Learning Objectives. RR Donnelley Tries to Master Its Data

Alexander Nikov. 5. Database Systems and Managing Data Resources. Learning Objectives. RR Donnelley Tries to Master Its Data INFO 1500 Introduction to IT Fundamentals 5. Database Systems and Managing Data Resources Learning Objectives 1. Describe how the problems of managing data resources in a traditional file environment are

More information

Deploy. Friction-free self-service BI solutions for everyone Scalable analytics on a modern architecture

Deploy. Friction-free self-service BI solutions for everyone Scalable analytics on a modern architecture Friction-free self-service BI solutions for everyone Scalable analytics on a modern architecture Apps and data source extensions with APIs Future white label, embed or integrate Power BI Deploy Intelligent

More information

Government Technology Trends to Watch in 2014: Big Data

Government Technology Trends to Watch in 2014: Big Data Government Technology Trends to Watch in 2014: Big Data OVERVIEW The federal government manages a wide variety of civilian, defense and intelligence programs and services, which both produce and require

More information

Meaningful Use Stage 2 Certification: A Guide for EHR Product Managers

Meaningful Use Stage 2 Certification: A Guide for EHR Product Managers Meaningful Use Stage 2 Certification: A Guide for EHR Product Managers Terminology Management is a foundational element to satisfying the Meaningful Use Stage 2 criteria and due to its complexity, and

More information

Data Analytics in Health Care

Data Analytics in Health Care Data Analytics in Health Care ONUP 2016 April 4, 2016 Presented by: Dennis Giokas, CTO, Innovation Ecosystem Group A lot of data, but limited information 2 Data collection might be the single greatest

More information

Symantec Global Intelligence Network 2.0 Architecture: Staying Ahead of the Evolving Threat Landscape

Symantec Global Intelligence Network 2.0 Architecture: Staying Ahead of the Evolving Threat Landscape WHITE PAPER: SYMANTEC GLOBAL INTELLIGENCE NETWORK 2.0.... ARCHITECTURE.................................... Symantec Global Intelligence Network 2.0 Architecture: Staying Ahead of the Evolving Threat Who

More information

Traditional BI vs. Business Data Lake A comparison

Traditional BI vs. Business Data Lake A comparison Traditional BI vs. Business Data Lake A comparison The need for new thinking around data storage and analysis Traditional Business Intelligence (BI) systems provide various levels and kinds of analyses

More information

Data Warehousing Dashboards & Data Mining. Empowering Extraordinary Patient Care

Data Warehousing Dashboards & Data Mining. Empowering Extraordinary Patient Care Data Warehousing Dashboards & Data Mining Empowering Extraordinary Patient Care Your phone has been automatically muted. Please use the Q&A panel to ask questions during the presentation. Introduction

More information

2014 MedData Group. WHITE PAPER: Meaningful Use Stage 3: How Health IT Marketers Should Adapt & Embrace the Delay

2014 MedData Group. WHITE PAPER: Meaningful Use Stage 3: How Health IT Marketers Should Adapt & Embrace the Delay WHITE PAPER: Meaningful Use Stage 3: How Health IT Marketers Should Adapt & Embrace the Delay The government s EHR Incentive Program, also known as Meaningful Use, led to an EHR gold rush 1 that has had

More information

Provider Registries: Reduce Health System Costs, Increase Efficiencies, Improve Care

Provider Registries: Reduce Health System Costs, Increase Efficiencies, Improve Care IBM Software Group, Information Management Healthcare Provider Registries: Reduce Health System Costs, Increase Efficiencies, Improve Care 2 Provider Registries: Reduce Health System Costs, Increase Efficiencies,

More information

White Paper: What You Need To Know About Hadoop

White Paper: What You Need To Know About Hadoop CTOlabs.com White Paper: What You Need To Know About Hadoop June 2011 A White Paper providing succinct information for the enterprise technologist. Inside: What is Hadoop, really? Issues the Hadoop stack

More information

Designing a Modern, Holistic ECM Strategy for Healthcare. How ECM consulting helps healthcare providers thrive in an atmosphere of change.

Designing a Modern, Holistic ECM Strategy for Healthcare. How ECM consulting helps healthcare providers thrive in an atmosphere of change. Designing a Modern, Holistic ECM Strategy for Healthcare How ECM consulting helps healthcare providers thrive in an atmosphere of change. Executive Summary Today s healthcare industry is undergoing continual

More information

Firebird meets NoSQL (Apache HBase) Case Study

Firebird meets NoSQL (Apache HBase) Case Study Firebird meets NoSQL (Apache HBase) Case Study Firebird Conference 2011 Luxembourg 25.11.2011 26.11.2011 Thomas Steinmaurer DI +43 7236 3343 896 thomas.steinmaurer@scch.at www.scch.at Michael Zwick DI

More information

Supporting a Continuous Process Improvement Model With A Cost-Effective Data Warehouse

Supporting a Continuous Process Improvement Model With A Cost-Effective Data Warehouse Supporting a Continuous Process Improvement Model With A Cost-Effective Data Warehouse Dave Hynson, Vice President and CIO Juan Negrin, Manager of BI and Data Governance OVERVIEW I. ALIGNMENT TO BUSINESS

More information

Trustworthiness of Big Data

Trustworthiness of Big Data Trustworthiness of Big Data International Journal of Computer Applications (0975 8887) Akhil Mittal Technical Test Lead Infosys Limited ABSTRACT Big data refers to large datasets that are challenging to

More information

Detecting Anomalous Behavior with the Business Data Lake. Reference Architecture and Enterprise Approaches.

Detecting Anomalous Behavior with the Business Data Lake. Reference Architecture and Enterprise Approaches. Detecting Anomalous Behavior with the Business Data Lake Reference Architecture and Enterprise Approaches. 2 Detecting Anomalous Behavior with the Business Data Lake Pivotal the way we see it Reference

More information

Buyer s Guide to Big Data Integration

Buyer s Guide to Big Data Integration SEPTEMBER 2013 Buyer s Guide to Big Data Integration Sponsored by Contents Introduction 1 Challenges of Big Data Integration: New and Old 1 What You Need for Big Data Integration 3 Preferred Technology

More information

Data Virtualization A Potential Antidote for Big Data Growing Pains

Data Virtualization A Potential Antidote for Big Data Growing Pains perspective Data Virtualization A Potential Antidote for Big Data Growing Pains Atul Shrivastava Abstract Enterprises are already facing challenges around data consolidation, heterogeneity, quality, and

More information

TIPPING POINT: HOSPITAL RESILIENCE IN A PERFECT STORM

TIPPING POINT: HOSPITAL RESILIENCE IN A PERFECT STORM TIPPING POINT: HOSPITAL RESILIENCE IN A PERFECT STORM Written by Using analytics to mine large datasets for insights, commonly known as Big Data, is already transforming industries ranging from consumer

More information

The Future of Data Management with Hadoop and the Enterprise Data Hub

The Future of Data Management with Hadoop and the Enterprise Data Hub The Future of Data Management with Hadoop and the Enterprise Data Hub Amr Awadallah Cofounder & CTO, Cloudera, Inc. Twitter: @awadallah 1 2 Cloudera Snapshot Founded 2008, by former employees of Employees

More information

Big Data and Hadoop for the Executive A Reference Guide

Big Data and Hadoop for the Executive A Reference Guide Big Data and Hadoop for the Executive A Reference Guide Overview The amount of information being collected by companies today is incredible. Wal- Mart has 460 terabytes of data, which, according to the

More information

Why Big Data in the Cloud?

Why Big Data in the Cloud? Have 40 Why Big Data in the Cloud? Colin White, BI Research January 2014 Sponsored by Treasure Data TABLE OF CONTENTS Introduction The Importance of Big Data The Role of Cloud Computing Using Big Data

More information

From Big Data to Insights

From Big Data to Insights From Big Data to Insights Lino Mari Senior Technical Architect From Big Data to Insights Big Data is revolutionizing analytics, databases and business. There is much buzz around Big Data these days, especially

More information

Securing Patient Portals. What You Need to Know to Comply With HIPAA Omnibus and Meaningful Use

Securing Patient Portals. What You Need to Know to Comply With HIPAA Omnibus and Meaningful Use Securing Patient Portals What You Need to Know to Comply With HIPAA Omnibus and Meaningful Use September 2013 Table of Contents Abstract... 3 The Carrot and the Stick: Incentives and Penalties for Securing

More information

Big Data Are You Ready? Jorge Plascencia Solution Architect Manager

Big Data Are You Ready? Jorge Plascencia Solution Architect Manager Big Data Are You Ready? Jorge Plascencia Solution Architect Manager Big Data: The Datafication Of Everything Thoughts Devices Processes Thoughts Things Processes Run the Business Organize data to do something

More information

JAVASCRIPT CHARTING. Scaling for the Enterprise with Metric Insights. 2013 Copyright Metric insights, Inc.

JAVASCRIPT CHARTING. Scaling for the Enterprise with Metric Insights. 2013 Copyright Metric insights, Inc. JAVASCRIPT CHARTING Scaling for the Enterprise with Metric Insights 2013 Copyright Metric insights, Inc. A REVOLUTION IS HAPPENING... 3! Challenges... 3! Borrowing From The Enterprise BI Stack... 4! Visualization

More information

SQLstream 4 Product Brief. CHANGING THE ECONOMICS OF BIG DATA SQLstream 4.0 product brief

SQLstream 4 Product Brief. CHANGING THE ECONOMICS OF BIG DATA SQLstream 4.0 product brief SQLstream 4 Product Brief CHANGING THE ECONOMICS OF BIG DATA SQLstream 4.0 product brief 2 Latest: The latest release of SQlstream s award winning s-streaming Product Portfolio, SQLstream 4, is changing

More information

OAGM Contractors Conference

OAGM Contractors Conference OAGM Contractors Conference Tony Trenkle Chief Information Officer and Director, Office of Information Services IT Priorities for 2013-2015 Meet the IT needs of health reform Insurance Marketplace Innovation

More information

W H I T E P A P E R. Deriving Intelligence from Large Data Using Hadoop and Applying Analytics. Abstract

W H I T E P A P E R. Deriving Intelligence from Large Data Using Hadoop and Applying Analytics. Abstract W H I T E P A P E R Deriving Intelligence from Large Data Using Hadoop and Applying Analytics Abstract This white paper is focused on discussing the challenges facing large scale data processing and the

More information

April 3, 2015. Dear Dr. DeSalvo:

April 3, 2015. Dear Dr. DeSalvo: April 3, 2015 Karen DeSalvo, MD, MPH, MSc National Coordinator for Health Information Technology Office of the National Coordinator for Health Information Technology U.S. Department of Health and Human

More information

July 23, 2015. Page 1

July 23, 2015. Page 1 Testimony of Paul Black, Before the Senate Committee on Health Education Labor and Pensions Achieving the Promise of Health Information Technology: Information Blocking and Potential Solutions July 23,

More information

WHITE PAPER. Five Steps to Better Application Monitoring and Troubleshooting

WHITE PAPER. Five Steps to Better Application Monitoring and Troubleshooting WHITE PAPER Five Steps to Better Application Monitoring and Troubleshooting There is no doubt that application monitoring and troubleshooting will evolve with the shift to modern applications. The only

More information

Industry Perspective: Big Data and Big Data Analytics. David Barnes Program Director Emerging Internet Technologies IBM Software Group

Industry Perspective: Big Data and Big Data Analytics. David Barnes Program Director Emerging Internet Technologies IBM Software Group Industry Perspective: Big Data and Big Data Analytics David Barnes Program Director Emerging Internet Technologies IBM Software Group What is Big Data? The Adjacent Possible Inexpensive disk + Increased

More information

Analytics Strategy Information Architecture Data Management Analytics Value and Governance Realization

Analytics Strategy Information Architecture Data Management Analytics Value and Governance Realization 1/22 As a part of Qlik Consulting, works with Customers to assist in shaping strategic elements related to analytics to ensure adoption and success throughout their analytics journey. Qlik Advisory 2/22

More information