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Big Data and Healthcare

  • August 2014
  • -
  • Kalorama Information
  • -
  • 56 pages

Big data consists of the enormous datasets that flow daily from manufacturers, healthcare providers, regulatory bodies, scientists and others. Those working with big data are seeking insights into the management of these vast datasets. The concept of Big Data comes at a favorable time for the healthcare industry, when industry executives are seeking to improve outcomes and control costs. Not surprisingly, the healthcare industry is currently undergoing a revolution of sorts, which revolves around the acquisition and employment of the Big Data concept. What is the potential benefit of Big Data, and what are the challenges unique to the healthcare industry? Who are the key players and what are they doing to start projects now that might pay dividends in the future?

This Kalorama Information report, Big Data in Healthcare, outlines the key partnerships, acquisitions, alliances, and organizations that have been formed in an attempt to meet these challenges. It includes as well a big data glossary noting companies, projects, platforms, products, partnerships, and organizations involved in big data ventures.

The information presented in this report is the result of data gathered from government reports, company product literature and other corporate brochures and documents, as well as information found in the scientific and trade press. As part of its coverage the report includes:
A Discussion of the Potential and Challenges of the use of Big Data in Healthcare
Detailed List of Significant Collaborations, Partnerships and Events in Big Data & Healthcare
A Big Data in Healthcare Glossary
There are vast incentives for players in the healthcare marketplace to utilize big data. It is estimated that in the U.S., if used productively, the healthcare sector could create more than $300 billion in value each year. No matter the locale, a key driver toward the use of big data is cost savings, as well as the patient benefits to be derived from the use of evidence-based medicine on a large scale. There are also major challenges to the use of big data effectively, and the report addresses these.

As part of its coverage, several deals are discussed in this report. Entities discussed include:

AARP
Abbott Diagnostics
Academy of Actuaries
Aetna
Aetna
Agfa HealthCare
AGT Group
American Medical Group Association (AMGA)
API Healthcare
AstaZeneca
Audax Health
Bayer
Bayer HealthCare
Beckman Coulter
Becton Dickinson
bioMérieux
Blue Cross Blue Shield Association
Blue Shield of California
Boston University School of Public Health
California Life Co.
Canada Health Infoway
Cerner Corporation
Cigna
Cognos Planning Software (IBM)
CommonWellHealth Alliance
Congressional Budget Office
ConvergeHEALTH
Dartmouth University
Data Innovations
Dell Services
Diasend
DNAnexus Inc.
Dossia
Eli Lilly and Company
Eli Lilly and Company
Emdeon
Epic Systems
Exalead
GE Healthcare
Geisinger Health System
Health Care Cost Institute (HCCI)
HealthCore
Humana
Humana
IBM Research
Inform Genomics, Inc.
Intermountain Healthcare
Jardogs
Johnson & Johnson
Kyruus, Inc.
Lehigh Valley Health System
Mayo Clinic
McKesson
MEDITECH
MedRed
Mount Sinai Data Warehouse (MSDW)
National Center for Advancing Translational Sciences
National University of Ireland in Galway
NextGen Healthcare Information Systems Inc.
Novartis
Ortho Clinical Diagnostics
Our Health Data Cooperative (ODHC)
Outcomes-Miner
Penn
Pfizer
Practice Fusion
Predilytics Inc.
Quantitative Tissue Assessment project
Rensselaer Polytechnic Institute
Roche Diagnostics
Rutgers University
Sanford|Burnham Medical Research Institute
SAP
Scripps Research Institute
Siemens
Stanford School of Medicine

Table Of Contents

Big Data and Healthcare
ONE EXECUTIVE SUMMARY
Introduction
Potential
Challenges
Scope and Methodology
TWO: SIGNIFICANT BIG DATA and HEALTHCARE PARTNERSHIPS AND EVENTS
Introduction
Big Data and the Healthcare Marketplace
U.S. Government Programs
Private Industry
Public-Private Programs
Big Data Partnerships and Acquisitions
Major Challenges to the Effective Use of Big Data
THREE: BIG DATA GLOSSARY AND LIST OF IMPORTANT ENTITIES

LIST OF EXHIBITS

TWO: SIGNIFICANT BIG DATA and HEALTHCARE PARTNERSHIPS AND EVENTS
Table 2-1: Select Data Partnerships, Acquisitions, Alliances

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