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The Digital Transformation of Healthcare

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Knowledge Management in Digital Change

Part of the book series: Progress in IS ((PROIS))

Abstract

In all areas of society we are experiencing a paradigm shift from thinking in terms of closed systems to thinking in terms of open networks. We live in a “networked” world that is characterized by networks both online and offline. Networks are non-hierarchical, inclusive, connected, complex, and open. They are constructed out of both humans and nonhumans. Networks today have become a kind of blueprint for the way in which society is being organized, including healthcare. Healthcare is no longer primarily something that takes place in the intimacy and confines of the doctor-patient relationship. Instead, health care is distributed throughout a complex network of both human and nonhuman actors such as databases, hospital information systems, digital health records, electronic health cards, online patient communities, health related apps, smart homes with ambient assisted living technologies, etc. Networks operate most efficiently when they conform to norms such as connectivity, flow of information, communication, participation, transparency, and authenticity. These norms guide the production and uses of health related information and knowledge. They condition how health related knowledge can create value both with regard to efficiency and quality of care. In this article, we take a look at how the norms of digital transformation have changed managing knowledge in health care networks.

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Notes

  1. 1.

    See Belliger/Krieger (2016) for a discussion of the impact of the digital transformation on organizations in general and on management practices in healthcare, business, education, and civil society.

  2. 2.

    See “Let Patients Help” by e-Patient Dave de Bronkart. http://www.epatientdave.com/let-patients-help/. On the e-patient movement in general see Belliger/Krieger (2014) and https://en.wikipedia.org/wiki/E-patient.

  3. 3.

    See https://en.wikipedia.org/wiki/Prosumer.

  4. 4.

    This is known as “personal informatics.” “Personal informatics is a class of tools that help people collect personally relevant information for the purpose of self-reflection and self-monitoring. These tools help people gain self-knowledge about one’s behaviors, habits, and thoughts.” www.personalinformatics.org.

  5. 5.

    See for example https://www.wsj.com/articles/doctors-prescribe-new-apps-to-manage-medical-conditions-1447094444; and https://www.newscientist.com/article/2121164-nhs-to-start-prescribing-health-apps-that-help-manage-conditions/.

  6. 6.

    https://validic.com/.

  7. 7.

    See for example the Elixir initiative of the European Union which attempts to bring together data from many different sources https://www.elixir-europe.org/about-us/what-we-do.

  8. 8.

    See for example Health Catalyst https://www.healthcatalyst.com/catalyst-approach/.

  9. 9.

    See for example the Global Alliance for Genomics and Health http://genomicsandhealth.org/; Elixir of the European Union https://www.elixir-europe.org/; and the Big Data to Knowledge BD2 K initiative of the National Institutes of Health in the USA https://commonfund.nih.gov/bd2k.

  10. 10.

    See https://antidote.me/.

  11. 11.

    See for example http://www.shareable.net/blog/11-platform-cooperatives-creating-a-real-sharing-economy.

  12. 12.

    See https://en.wikipedia.org/wiki/Blue_Button; and https://www.healthit.gov/patients-families/about-blue-button-movement.

  13. 13.

    https://www.opennotes.org/.

  14. 14.

    http://annals.org/aim/article/1363511/inviting-patients-read-doctors-notes-quasi-experimental-study-look-ahead.

  15. 15.

    https://www.healthdata.gov/content/about.

  16. 16.

    https://www.youtube.com/watch?v=oro19-l5M8k.

  17. 17.

    http://blog.ted.com/why-i-opensourced-cures-for-my-cancer-salvatore-iaconesi-at-tedglobal-2013/.

  18. 18.

    http://opensourcecureforcancer.com/.

  19. 19.

    See https://openaps.org/.

  20. 20.

    http://participatorymedicine.org/.

  21. 21.

    See http://www.patient-als-partner.de/index.php?article_id=1&clang=2.

  22. 22.

    http://shareddecisions.mayoclinic.org/.

  23. 23.

    See Barry and Edgman-Levitan (2012). http://www.nejm.org/doi/full/10.1056/NEJMp1109283.

  24. 24.

    https://ec.europa.eu/digital-single-market/en/news/putting-patients-driving-seat-digital-future-healthcare.

  25. 25.

    http://www.epatientdave.com/let-patients-help/.

  26. 26.

    http://participatorymedicine.org/about/.

  27. 27.

    http://www.epatientdave.com/2012/10/21/we-perform-better-when-we%E2%80%99re-informed-better/.

  28. 28.

    https://www.patientslikeme.com/.

  29. 29.

    http://curetogether.com/.

  30. 30.

    http://www.acor.org/.

  31. 31.

    https://www.weisse-liste.de/de/.

  32. 32.

    See https://www.forbes.com/sites/bijankhosravi/2015/07/31/forget-about-the-apple-watch-implantables-are-coming/#463824aa3b78.

  33. 33.

    See for example http://medicalfuturist.com/chatbots-health-assistants/; https://www.digitaltrends.com/cool-tech/artificial-intelligence-chatbots-are-revolutionizing-healthcare/.

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Correspondence to Andréa Belliger .

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Belliger, A., Krieger, D.J. (2018). The Digital Transformation of Healthcare. In: North, K., Maier, R., Haas, O. (eds) Knowledge Management in Digital Change. Progress in IS. Springer, Cham. https://doi.org/10.1007/978-3-319-73546-7_19

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