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Big Data in Healthcare

April 2013

Pages: 45

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Keywords: Big Data, Big Data Healthcare, Healthcare Cost Reduction, Healthcare Profitability, Healthcare Data

Overview

Medical data represents a large, rapidly growing, and mostly unstructured data residing in multiple locations including lab and imaging systems, physician notes, medical correspondence, claims, CRM and financial systems. With resizing costs with the healthcare industry, there is an imperative to reduce the cost of care and efficiently manage resources without compromising patient care. Healthcare organizations have the opportunity to leverage big data technology to perform analytics to improve care and profitability.

This report evaluates Big Data in healthcare ecosystem and opportunities including technologies, growth drivers, challenges, and stakeholders. The report analyzes different business models employed by healthcare big data business practices, including key factors affecting each business model, various company approaches and solutions.

See Table of Contents for complete list of areas covered.

Audience

  • Big Data application developers
  • Telecommunications companies
  • Big data management companies
  • Healthcare institutions of all types
  • Investors in Big Data infrastructure

Table of Contents

  • Executive Summary
  • Introduction
  • What is Big Data?
  • Big Data Categories
  • Structured Big Data
  • Un-Structured Data
  • Semi-Structured Data
  • Why is it Important?
  • Pattern Discovery
  • Decision Making
  • Process Invention
  • Increasing Revenue
  • Big Data Growth Drivers
  • Big Data Technology
  • Sensors
  • Computer Networks
  • Data storage
  • Cluster Computer Systems
  • Cloud Computing Facilities
  • Data Analysis Algorithms
  • Big Data in Healthcare
  • Conceptual Challenges
  • Volume
  • Variety
  • Velocity
  • Practical Challenges
  • Healthcare as a Technology Laggard
  • Integration
  • Security
  • Standards
  • Real-time Processing
  • Healthcare Stakeholders
  • Patients
  • Providers
  • Researchers
  • Pharma Companies
  • Medical Devices Companies
  • Payers
  • Governments
  • Software Developers 4.0 BI
  • Big Data Healthcare Business Models and Companies
  • Genomics Research
  • Important Factors for Genomic Research Solutions
  • Long Term Storage
  • Strong Processing Power
  • Key Players and Solutions
  • Genome Health Solutions
  • GNS Healthcare
  • Healthcare Big Data Analytics
  • Important Factors for Healthcare Data Warehousing Solutions
  • Cost
  • Flexible Data Operations
  • High Quality Reporting Service
  • Administration
  • Easier Maintenance
  • Key Players and Solutions
  • IBM
  • IBM Netezza
  • Oracle
  • Oracle Healthcare Data Warehousing Foundation
  • Zanett
  • The Zanett Real Enterprise Value (REV™)
  • Explorys
  • Explorys Platform
  • Humedica
  • Humedica MinedShare
  • Predixion Software
  • Predixion Insight™
  • Health Fidelity
  • Fidelity Platform
  • Practice Fusion
  • Athenahealth, Inc
  • Athenahealth Solutions
  • InterSystems
  • HealthShare
  • Pentaho
  • Pentaho Business Analytics
  • Fraud Detection and Management
  • Important Factors for Healthcare Fraud Detection and Management Solutions
  • Multiple Methods of Analysis
  • Social Network Analysis
  • Key Players and Solutions
  • Verizon
  • Verizon Fraud Management
  • Pervasive
  • Pervasive's DataRush
  • Personalized Medicine
  • Important Factors for Personalized Medicine Solution
  • Innovation Protection
  • Enhanced Network Infrastructure
  • Key Players and Solutions
  • UPMC Health
  • Mobile-Based Healthcare
  • Important Factors on Mobile-Based Healthcare Solutions
  • Wide Coverage
  • Support for Multi-Platforms
  • Key Players and Solutions
  • Humetrix's iBlueButton
  • Sproxil Inc.
  • Welldoc
  • ZEO, Inc
  • Future Outlook
  • More Research for Big Data Analytics
  • More Towards Personalized Medicine
  • Potential to Predict – and Hopefully Then Prevent – Disease
  • More Analytics for Doctors
  • More Towards Drug Discovery

List of Figures

  • Figure 1 - Expansion of Data
  • Figure 2 - Effectiveness of Critical Data in Decision Making
  • Figure 3 - Big Data Revenue 2012-2017