Marc Wilczek
20. June 2014 0
Digitization

The benefits of using big data in healthcare (Part 2)

Big data makes personalized medicine possible to the benefit of patients. Big data is giving doctors increasing possibilities to find the optimal diagnoses and treatments for each illness phase. Patients are saved from multiple visits to different specialists. Cost efficiency in the healthcare sector can also be boosted significantly through the comprehensive integration of the relevant data.

And there are other advantages as well: the pharmaceuticals industry is just one of many examples of use cases for big data.  The benefits for developing and testing new effective ingredients and drugs are vast: big data makes it possible to analyze all available data sources. Big data can readily aggregate studies and data from multiple research institutions, through the central analysis of CPU-intensive, data-intensive simulations.

Data warehouse to Big Data Hadoop

Another interesting use case is the transfer of large amounts of data from the cost-intensive company data warehouse to Big Data Hadoop – where it can still be analyzed. The challenge here is that conventional data warehouse (DWH) technologies only provide limited support for data growth and data diversity, particularly when it comes to unstructured data types – such as patient files, diagnostic images and videos, 3D image rendering and data from DNA analysis.

The use of Big Data Hadoop as a supplement to a conventional company DWH creates the foundation for storing and analyzing enormous amounts of data. The best thing about it: the data in Hadoop can still be analyzed. This means it becomes possible to analyze large amounts of data with high performance, and the retroactive analysis of legacy datasets can be used to develop forecasting models.

With the analysis of large amounts of data from multiple sources, complex cor­relation analyses, complex simulations and predictive analyses, business decisions can be made much faster.

What does the e-health portfolio of Deutsche Telekom and T-Systems look like?

Hospital IT

  • System solutions/operation/support for hospitals

Telemonitoring

  • Telemedicine platform: 24×7 monitoring of the most important vital signs à patients become much more mobile, cost
    reductions for healthcare providers
  • Data protection is guaranteed, because the data belongs to the hospital or private practitioner T-Systems only provides
    the platform

Ambient Assisted Living

  • Intelligent assistance systems for senior citizens, to let them live independently in their own homes longer (for example, emergency calls, daily navigation, daily structure for dementia sufferers); data protection is guaranteed
  • Apartments become more attractive for senior citizens; add-on for assisted living

Digital processes

  • Participation in HMM Germany, for example,
    the approval/release of walkers and wheelchairs is being transformed from a paper-based process to a digital one
  • The benefits: faster process, cost reductions, transparency (which patient receives which services), reuse of walkers and
    wheelchairs is simplified
  • Participation in HÄVG = billing center = business process outsourcing, hotline, online integration of doctors, payers,
    creation of posting entries, (complex) settlement of a variety of contracts with different health insurance funds

Telematics

  • Tender for the telematics infrastructure for the healthcare card; T-Systems is participating in it and in the implementation
    in two pilot regions

T-Systems provides platforms for the exchange of data and for integrated communications among all participants in the healthcare sector. This includes cloud data storage, cloud services, telematics services and the networking of IT systems. All data centers and data lines are located in Germany and are subject to Germany’s strict data privacy laws. The data centers are designed as twin-core data centers, with maximum reliability and the highest standards.

Marc Wilczek

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