Data Traffic Forecast in Health 4.0

This chapter discusses the expected implications of Health 4.0 on hospital and general healthcare system data traffic. The interactive nature of Health 4.0 introduces an unprecedented complexity of stakeholder relations related to the access, storage, transmission, and governance of data in the domain of healthcare and beyond: data is made available through governed channels to healthcare-providing stakeholders, to researchers, for purposes of personalized care provision, for reasons of public interest, and for the use by the data owner itself through smart devices, etc. This chapter describes the status quo of data traffic in a modern German hospital, outlines the ongoing and future trends towards informated healthcare provision, digitalization and virtualization of care and Personalized Medicine (Health 4.0), and based on these foundations makes an informed estimation of the future data traffic characteristics.

[1]  Eric S. Raymond,et al.  The cathedral and the bazaar - musings on Linux and Open Source by an accidental revolutionary , 2001 .

[2]  G. Shaw.  A Clinician's Guide to Digital X-Ray Systems , 2001, Journal of the Royal Society of Medicine.

[3]  Ilias Maglogiannis,et al.  NGL03-6: Applying Wireless DiffServ for QoS Provisioning in Mobile Emergency Telemedicine , 2006, IEEE Globecom 2006.

[4]  Ilias Maglogiannis,et al.  Emergency m-Health Services through High-Speed 3G Systems: Simulation and Performance Evaluation , 2007, Simul..

[5]  J. Keats.  The Mechanical Loom , 2009 .

[6]  Elisa Bertino,et al.  Access Control for Databases: Concepts and Systems , 2011, Found. Trends Databases.

[7]  Alois Paulin,et al.  Towards the Foundation for Read-Write Governance of Civilizations , 2011 .

[8]  A. Parks,et al.  Disseminating Self-Help: Positive Psychology Exercises in an Online Trial , 2012, Journal of medical Internet research.

[9]  A. Kollmann,et al.  The Electronic Health Record in Austria: a strong network between health care and patients , 2012, European Surgery.

[10]  Tatjana Welzer,et al.  A universal system for fair non-repudiable certified e-mail without a trusted third party , 2013, Comput. Secur..

[11]  L. Beatty,et al.  A systematic review of internet-based self-help therapeutic interventions to improve distress and disease-control among adults with chronic health conditions. , 2013, Clinical psychology review.

[12]  Thomas Magedanz,et al.  Applying the Software-to-Data Paradigm in Next Generation E-Health Hybrid Clouds , 2013, 2013 10th International Conference on Information Technology: New Generations.

[13]  Peter Friess,et al.  Internet of Things: Converging Technologies for Smart Environments and Integrated Ecosystems , 2013 .

[14]  Alois Paulin,et al.  Towards Self-Service Government - A Study on the Computability of Legal Eligibilities , 2013, J. Univers. Comput. Sci..

[15]  A. van Straten,et al.  Effectiveness of Online Self-Help for Suicidal Thoughts: Results of a Randomised Controlled Trial , 2014, PloS one.

[16]  Michele Osella,et al.  Breaking Public Administrations’ Data Silos. The Case of Open-DAI, and a Comparison between Open Data Platforms. , 2014 .

[17]  Tom Heath,et al.  From Toddler to Teen: Growth of an Open Data Ecosystem A Longitudinal Analysis of Open Data Developments in the UK , 2014 .

[18]  J. Schneider,et al.  Acceptability of Online Self-Help to People With Depression: Users’ Views of MoodGYM Versus Informational Websites , 2014, Journal of medical Internet research.

[19]  P. Mildenberger,et al.  Introduction to the DICOM standard , 2002, European Radiology.

[20]  T. Heath,et al.  Conceptualizing Open Data ecosystems: A timeline analysis of Open Data development in the UK , 2014 .

[21]  Alois Paulin,et al.  Through Liquid Democracy to Sustainable Non-Bureaucratic Government Harnessing the Power of ICTs for a Novel Form of Digital Government , 2014 .

[22]  A. Schmidt.  Secrecy versus openness: Internet security and the limits of open source and peer production , 2014 .

[23]  H. Feußner,et al.  Minimalinvasive Chirurgie und „robotic surgery“: Chirurgie 4.0? , 2016, Der Chirurg.

[24]  Paolo Rota,et al.  On automated Flow Cytometric analysis for MRD estimation of Acute Lymphoblastic Leukaemia: A comparison among different approaches , 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

[25]  Christoph Thuemmler,et al.  Future Internet in Surgical Operating Theatre , 2015, 2015 12th International Conference on Information Technology - New Generations.

[26]  Ulrike Gretzel,et al.  Conceptual foundations for understanding smart tourism ecosystems , 2015, Comput. Hum. Behav..

[27]  Alois Paulin,et al.  Wicked problem or clear mission?: understanding governance informatability , 2015, DG.O.

[28]  A. Paulin.  Twenty Years After the Hype: Is e-Government doomed? Findings from Slovenia , 2015 .

[29]  Alois Paulin,et al.  Technological Ecosystems' Role in Preventing Neo-Feudalism in Smart-City Informatization , 2016, WWW.

[30]  A. Paulin.  Informating Public Governance: Towards a Basis for a Digital Ecosystem , 2017 .