Big Data and Healthcare

Aug 26, 2014
56 Pages - Pub ID: KLI5317106
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Big Data and Healthcare

This Kalorama Information report, Big Data in Healthcare, outlines the key deals, mergers, consortia, and competitive events that have been formed in an attempt to meet the challenge of using healthcare data to enhance practice and boost revenues.

Big data consists of the giant data pulls that emerge in every day use from manufacturers, healthcare organizations, governments, scientists and others. Those working with big data are seeking insights into the management of these large datasets. If utilized correctly, it is esitmated that healthcare companies could create more than $300 billion in value from Big Data. The idea of Big Data comes at a positive time for the healthcare business, a time when executives are seeking to increase positive outcomes and limit rising costs.

What is the upside of Big Data, and what are the pifalls unique to the healthcare industry? Who are companies the and what are they doing to start projects now that might pay dividends in the future?

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:

An Overview of the Upside and Downside of the use of Big Data in Healthcare
  • The Competitive Players and What They are Doing
  • A Big Data in Healthcare Glossary
As part of its coverage, several deals are discussed in this report. Entities discussed include:
  • GE Healthcare
  • Geisinger Health System
  • Health Care Cost Institute (HCCI)
  • HealthCore
  • Humana
  • Humana
  • ConvergeHEALTH
  • Dartmouth University
  • Data Innovations
  • Dell Services
  • Diasend
  • DNAnexus Inc.
  • Dossia
  • IBM Research
  • Inform Genomics, Inc.
  • Intermountain Healthcare
  • Jardogs
  • Johnson & Johnson
  • Kyruus, Inc.
  • bioMérieux
  • Blue Cross Blue Shield Association
  • Blue Shield of California
  • Boston University School of Public Health
  • California Life Co.
  • Canada Health Infoway
  • Cerner Corporation
  • 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
  • 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
  • Cigna
  • Cognos Planning Software (IBM)
  • CommonWellHealth Alliance
  • Congressional Budget Office
  • Eli Lilly and Company
  • Eli Lilly and Company
  • Emdeon
  • Epic Systems
  • Exalead
  • 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
  • Pfizer
  • AARP
ONE EXECUTIVE SUMMARY
Introduction
Potential
Challenges
Scope and Methodology
TWO: SIGNIFICANT BIG DATA & 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 & HEALTHCARE PARTNERSHIPS AND EVENTS
Table 2-1: Select Data Partnerships, Acquisitions, Alliances

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