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Predicting the Up-Take Curve of New Drugs in an accurate way by using Dynamic Patient-Share Methodology

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Marktorientiertes Produkt- und Produktionsmanagement in digitalen Umwelten

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Zusammenfassung

When a pharmaceutical company launches a new drug, it is critical to predict adoption as early and precisely as possible for demand planning as well as promotional resource allocation. In this article we present the Dynamic Patient-Share Method (DPSM), which allows predicting the up-take in a very accurate and simple way. Time consuming patient flow analysis and analogue research becomes needless.

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Literatur

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Author information

Authors and Affiliations

  1. Duale Hochschule Baden-Württemberg Mannheim, Mannheim, Deutschland

    Christian Schäfer

  2. Boehringer Ingelheim Corporate Center, Strategist & Consultant, Ingelheim am Rhein, Deutschland

    Stephan Brebeck

Authors
  1. Christian Schäfer
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  2. Stephan Brebeck
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Corresponding author

Correspondence to Christian Schäfer .

Editor information

Editors and Affiliations

  1. Edmonton, Canada

    Anshuman Khare

  2. Worms, Germany

    Dagmar Kessler

  3. Berlin, Germany

    Jan Wirsam

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© 2018 Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature

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Schäfer, C., Brebeck, S. (2018). Predicting the Up-Take Curve of New Drugs in an accurate way by using Dynamic Patient-Share Methodology. In: Khare, A., Kessler, D., Wirsam, J. (eds) Marktorientiertes Produkt- und Produktionsmanagement in digitalen Umwelten. Springer Gabler, Wiesbaden. https://doi.org/10.1007/978-3-658-21637-5_12

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  • DOI: https://doi.org/10.1007/978-3-658-21637-5_12

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  • Publisher Name: Springer Gabler, Wiesbaden

  • Print ISBN: 978-3-658-21636-8

  • Online ISBN: 978-3-658-21637-5

  • eBook Packages: Business and Economics (German Language)

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