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市場調查報告書

巨量資料和醫療

Big Data and Healthcare

出版商 Kalorama Information 商品編碼 312658
出版日期 內容資訊 英文 56 Pages
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巨量資料和醫療 Big Data and Healthcare
出版日期: 2014年08月26日 內容資訊: 英文 56 Pages
簡介

醫療領域的巨量資料,由廠商、醫療服務的供應商、監督機關、研究人員等每天流入的龐大資料集所構成,這些龐大的資料集管理成為很大的課題。醫療產業在經營幹部間強烈認識改善治療效果和節減經費的必要性,巨量資料作為有力方式而引人注目。已經採用巨量資料概念使醫療的理想狀態開始大幅變動,美國由於活用巨量資料,估算出可產生相當於年度3,000億美元以上的金額的價值。

本報告提供聯盟和收購、聯合、組織成立等,為了應對在醫療產業纏繞巨量資料引進的各種課題,相關企業和團體的配合措施、巨量資料相關的用語和重要的團體介紹。

第1章 摘要整理

  • 簡介
  • 醫療產業的巨量資料的可能性
  • 醫療產業的巨量資料的課題
  • 調查範圍和調查方法

第2章 巨量資料相關企業和醫療機關的主要聯盟的動向

  • 簡介
  • 巨量資料和醫療市場
  • 美國政府的計劃
  • 民營企業
  • 官民聯合計劃
  • 巨量資料相關的聯盟與收購
  • 纏繞巨量資料的有效利用的主要課題

第3章 巨量資料相關的用語和主要團體的清單

圖表清單

本報告書所涵蓋的主要企業和團體

  • AARP
  • Abbott Diagnostics
  • Academy of Actuaries
  • Aetna
  • Agfa HealthCare
  • AGT Group
  • American Medical Group Association (AMGA)
  • API Healthcare
  • AstaZeneca
  • Audax Health
  • Bayer
  • Bayer HealthCare
  • Beckman Coulter
  • Becton Dickinson
  • bioMerieux
  • 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
目錄
Product Code: KLI5317106

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

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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