IDEAS home Printed from https://ideas.repec.org/a/spr/ijphth/v64y2019i9d10.1007_s00038-019-01293-2.html
   My bibliography  Save this article

The personalized medicine challenge: shifting to population health through real-world data

Author

Listed:
  • Kimberly Alba Mc Cord

    (University of Basel)

Abstract

No abstract is available for this item.

Suggested Citation

  • Kimberly Alba Mc Cord, 2019. "The personalized medicine challenge: shifting to population health through real-world data," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 64(9), pages 1255-1256, December.
    • Handle: RePEc:spr:ijphth:v:64:y:2019:i:9:d:10.1007_s00038-019-01293-2
    DOI: 10.1007/s00038-019-01293-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00038-019-01293-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s00038-019-01293-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Davenport, Thomas H., 2018. "The AI Advantage: How to Put the Artificial Intelligence Revolution to Work," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262039176, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shrutika Mishra & A. R. Tripathi, 2021. "AI business model: an integrative business approach," Journal of Innovation and Entrepreneurship, Springer, vol. 10(1), pages 1-21, December.
    2. Mehran Farzadmehr & Valentin Carlan & Thierry Vanelslander, 2023. "Contemporary challenges and AI solutions in port operations: applying Gale–Shapley algorithm to find best matches," Journal of Shipping and Trade, Springer, vol. 8(1), pages 1-44, December.
    3. Milad Mirbabaie & Stefan Stieglitz & Felix Brünker & Lennart Hofeditz & Björn Ross & Nicholas R. J. Frick, 2021. "Understanding Collaboration with Virtual Assistants – The Role of Social Identity and the Extended Self," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(1), pages 21-37, February.
    4. Ming-Ching Hsu, 2023. "The Construction of Critical Factors for Successfully Introducing Chatbots into Mental Health Services in the Army: Using a Hybrid MCDM Approach," Sustainability, MDPI, vol. 15(10), pages 1-22, May.
    5. Gokhan Ozkaya & Ayse Demirhan, 2023. "Analysis of Countries in Terms of Artificial Intelligence Technologies: PROMETHEE and GAIA Method Approach," Sustainability, MDPI, vol. 15(5), pages 1-27, March.
    6. Akter, Shahriar & Dwivedi, Yogesh K. & Sajib, Shahriar & Biswas, Kumar & Bandara, Ruwan J. & Michael, Katina, 2022. "Algorithmic bias in machine learning-based marketing models," Journal of Business Research, Elsevier, vol. 144(C), pages 201-216.
    7. Riccardo Camilli & Hira Salah ud din Khan, 2023. "Book Review," FINANCIAL REPORTING, FrancoAngeli Editore, vol. 2023(2), pages 137-144.
    8. Katharina Blöcher & Rainer Alt, 2021. "AI and robotics in the European restaurant sector: Assessing potentials for process innovation in a high-contact service industry," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 529-551, September.
    9. Vlačić, Božidar & Corbo, Leonardo & Costa e Silva, Susana & Dabić, Marina, 2021. "The evolving role of artificial intelligence in marketing: A review and research agenda," Journal of Business Research, Elsevier, vol. 128(C), pages 187-203.
    10. Holmström, Jonny, 2022. "From AI to digital transformation: The AI readiness framework," Business Horizons, Elsevier, vol. 65(3), pages 329-339.
    11. Karim, Mohammed Shamsul & Nahar, Sharmin & Demirbag, Mehmet, 2022. "Resource-Based Perspective on ICT Use and Firm Performance: A Meta-analysis Investigating the Moderating Role of Cross-Country ICT Development Status," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    12. Thomas Davenport & Abhijit Guha & Dhruv Grewal & Timna Bressgott, 2020. "How artificial intelligence will change the future of marketing," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 24-42, January.
    13. Omid Omidvar & Mehdi Safavi & Vern L. Glaser, 2023. "Algorithmic Routines and Dynamic Inertia: How Organizations Avoid Adapting to Changes in the Environment," Journal of Management Studies, Wiley Blackwell, vol. 60(2), pages 313-345, March.
    14. Peter Buxmann & Thomas Hess & Jason Thatcher, 2019. "Call for Papers, Issue 1/2021," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(4), pages 545-547, August.
    15. Achrol, Ravi S. & Kotler, Philip, 2022. "Distributed marketing networks: The fourth industrial revolution," Journal of Business Research, Elsevier, vol. 150(C), pages 515-527.
    16. Liwei Chen & J. J. Po-An Hsieh & Arun Rai, 2022. "How Does Intelligent System Knowledge Empowerment Yield Payoffs? Uncovering the Adaptation Mechanisms and Contingency Role of Work Experience," Information Systems Research, INFORMS, vol. 33(3), pages 1042-1071, September.
    17. Jean-Philippe Deranty & Thomas Corbin, 2022. "Artificial Intelligence and work: a critical review of recent research from the social sciences," Papers 2204.00419, arXiv.org.
    18. Ulrich Lichtenthaler, 2020. "Building Blocks of Successful Digital Transformation: Complementing Technology and Market Issues," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 17(01), pages 1-14, February.
    19. Dhruv Grewal & John Hulland & Praveen K. Kopalle & Elena Karahanna, 2020. "The future of technology and marketing: a multidisciplinary perspective," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 1-8, January.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ijphth:v:64:y:2019:i:9:d:10.1007_s00038-019-01293-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.