Skip to main content

Data Intelligence in der Wertschöpfung pharmazeutischer Unternehmen

  • Chapter
  • First Online:
Handbuch Digitale Gesundheitswirtschaft
  • 1463 Accesses

Zusammenfassung

Die Rolle der automatisierten datengestützten Entscheidungsfindung nimmt zukünftig eine integrative, unternehmensübergreifende Rolle ein. Wie kann Data Intelligence die Wertschöpfung von Arzneimittelherstellern unterstützen?

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 49.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 64.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Literatur

  1. Gautam A, Pan X. The changing model of big pharma: impact of key trends. Drug Discovery Today. 2016;21(3):379–84. https://doi.org/10.1016/j.drudis.2015.10.002

    Article  Google Scholar 

  2. Steinwandter V, Borchert D, Herwig C. Data science tools and applications on the way to Pharma 4.0. Drug Discovery Today. 2019;24(9):1795–805. https://doi.org/10.1016/j.drudis.2019.06.005

    Article  Google Scholar 

  3. Tunder R. Market Access Management – Konzeption und Prozess. In: Tunder R, editor. Market Access Management für Pharma- und Medizinprodukte: Instrumente, Verfahren und Erfolgsfaktoren. Wiesbaden: Springer Fachmedien Wiesbaden; 2020. p. 3–35. https://doi.org/10.1007/978-3-658-26145-0_1

    Chapter  Google Scholar 

  4. Kaddi SS, Patil MM, editors. Pharma data analytics: An emerging trend. 2017 International Conference On Smart Technologies For Smart Nation (SmartTechCon); 2017 17–19 Aug. 2017. https://doi.org/10.1108/BPMJ-10-2017-0272

  5. Festa G, Safraou I, Cuomo MT, Solima L. Big data for big pharma. Business Process Management Journal. 2018;24(5):1110–23. https://doi.org/10.1109/SmartTechCon.2017.8358578

    Article  Google Scholar 

  6. Henstock PV. Artificial Intelligence for Pharma: Time for Internal Investment. Trends in Pharmacological Sciences. 2019;40(8):543–6. https://doi.org/10.1016/j.tips.2019.05.003

    Article  Google Scholar 

  7. Siegismund D, Tolkachev V, Heyse S, Sick B, Duerr O, Steigele S. Developing Deep Learning Applications for Life Science and Pharma Industry. Drug Res (Stuttg). 2018;68(06):305–10. https://doi.org/10.1055/s-0043-124761

    Article  Google Scholar 

  8. Pesqueira A, Sousa MJ, Rocha Á. Big Data Skills Sustainable Development in Healthcare and Pharmaceuticals. Journal of Medical Systems. 2020;44(11):197. https://doi.org/10.1007/s10916-020-01665-9

    Article  Google Scholar 

  9. Tableau. Life Sciences Analytics. 2021, Verfügbar unter: https://www.tableau.com/solutions/life-sciences-analytics (Letzter Zugriff am 01.11.2022)

  10. Prioritis. What is Prismaccess? 2021, Verfügbar unter: https://www.prismaccess.com/page/what-is-prismaccess?lang=en (Letzter Zugriff am 01.11.2022)

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Philipp Köbe .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 Der/die Autor(en), exklusiv lizenziert an Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Köbe, P. (2023). Data Intelligence in der Wertschöpfung pharmazeutischer Unternehmen. In: Bohnet-Joschko, S., Pilgrim, K. (eds) Handbuch Digitale Gesundheitswirtschaft . Springer Gabler, Wiesbaden. https://doi.org/10.1007/978-3-658-41781-9_53

Download citation

  • DOI: https://doi.org/10.1007/978-3-658-41781-9_53

  • Published:

  • Publisher Name: Springer Gabler, Wiesbaden

  • Print ISBN: 978-3-658-41780-2

  • Online ISBN: 978-3-658-41781-9

  • eBook Packages: Business and Economics (German Language)

Publish with us

Policies and ethics