Big Data in Healthcare 2017

 
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Published Aug 17, 2017 | 238 Pages | Pub ID: KLI15444679

Big Data in Healthcare 2017

The healthcare industry is currently attempting to restructure itself. The guiding principle of this restructuring: the acquisition and employment of what is known as "Big Data." Big Data consists of the enormous datasets that flow daily from manufacturers, healthcare providers, regulatory bodies, scientists and others. It is a broad term for any collection of information so vast and complex that it can’t be handled with traditional data-processing tools.

There is considerable discussion of Big Data in many industries. The healthcare industry is one of the industries in which applications of the concept are arising. Big Data in Healthcare examines selected current and future applications of Big Data within the healthcare ecosystem.

In the healthcare field, multiple sources of data may be available, including:
  • Clinical data, as from medical diagnosis, medical images, patient histories, labs
  • Omics data, as from genomics, transcriptomics, proteomics, epigenomics
  • Claims data, from health systems and providers, via the processing of public and private claims
  • User-generated data, as from fitness apps and data from smartphones

Big Data in Healthcare 2017 Examines Contributions and Applications in:

  • Information Technology in In Vitro Diagnostics
  • Personalized Medicine
  • Pharmaceutical industry
  • Electronic Medical Records (EMR)
  • Mobile Health (mHealth)
  • Health Insurance Industry
Information Technology (IT) companies participating in in vitro diagnostics (IVD) are diverse and show great ingenuity. In IVD, there has been a proliferation of software options to capture and analyze data from multiplexed, signature panel, mass spectroscopy, arrays and biochip platform molecular acid tests, among others. IVD companies are moving from a device-driven approach to a total systems suite of services approach with a data management focus, illustrated via partnerships with Google, Apple, IBM Watson and other IT companies. Selected applications of Big Data discussed within the report fall into the subsegments of molecular diagnostics, microbiology and virology, histology and cytology, digital imaging, mass spectrometry, and clinical chemistry.

Precision or personalized medicine applications of Big Data are discussed within the report. Big Data will be essential to unlocking precision medicine. By combining tissue data, genomics, and clinical outcomes, doctors will be able to better match therapies with patients.


Big Data in Healthcare 2017 Examines These Big Data Developments:

  • Selected IVD Industry IT/Big Data Investments
  • Selected IT Innovations in Molecular Diagnostics
  • Selected Genomic Tests for Inherited Diseases
  • Selected Digital Imaging Innovations
  • Selected Collaborations between Pharmaceutical and Diagnostic Companies
  • Selected Insurance Industry Big Data Initiatives
  • Selected Big Data Alliances and Organizations
Company profiles within the report look at Big Data players. Big Data players, defined broadly for the purposes of the report, are companies or organizations involved with healthcare analytics processes in some form, whether gathering healthcare data, either in an unstructured or a structured (as in an EHR platform) way; structuring healthcare data; or applying healthcare data, as is most often the case in precision medicine applications.

Companies Profiled Include:

  • AdvanceMD
  • Allscripts Healthcare Solutions
  • Amazon
  • Apple Inc.
  • athenahealth, Inc.
  • BGI (formerly Beijing Genomics Institute)
  • Bina Technologies, Inc. (part of Roche Sequencing)
  • Cerner Corporation
  • CLC bio (a Qiagen company)
  • Definiens
  • Dell Healthcare and Life Sciences
  • eClinicalWorks
  • Epic Systems Corporation
  • GE Healthcare
  • GENALICE
  • GenomOncology
  • Google Genomics (Alphabet)
  • Hewlett Packard
  • IBM Healthcare
  • Illumina, Inc.
  • Intel Corporation
  • InterSystems Corporation
  • IVD Industry Connectivity Consortium – IICC
  • Knome, Inc.
  • Leica Biosystems (Danaher)
  • Mayo Medical Laboratories
  • McKesson Corporation
  • Medical Information Technology, Inc. (MEDITECH)
  • Microsoft
  • N-of-One
  • Oracle Corporation
  • Palantir
  • Pathway Genomics Corporation
  • PerkinElmer
  • Quality Systems, Inc. (QSI)
  • Quest Diagnostics, Inc.
  • Roche Diagnostics
  • SAP SE
  • Selventa, Inc.
  • Sunquest Information Systems
  • WuXi NextCode Genomics
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.
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