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AI in Pharmaceutical Companies

Enabling Efficient, Responsible and Human-Centered Solutions for Medical Affairs
Authors:
Publisher:
 2022

Summary

The concrete realization of AI endeavors is challenging, especially for established companies. In this paper, essential requirements from theory and practice are analyzed holistically and applicable solutions are discussed. It incorporates insights from conducted case studies and expert interviews in the pharmaceutical industry.

This work contributes to support previous research on how efficient, (ethically) responsible and human-centered AI solutions can be integrated into the business model of scientifically oriented fields (such as Medical Affairs). In this context, the role of management and interdisciplinary professionals is highlighted and the development of an AI framework is proposed.

Keywords

Bibliographic data

Copyright year
2022
ISBN-Print
978-3-8288-4721-7
ISBN-Online
978-3-8288-7816-7
Publisher
Tectum, Baden-Baden
Series
Wissenschaftliche Beiträge aus dem Tectum Verlag: Wirtschaftswissenschaften
Volume
103
Language
English
Pages
238
Product type
Book Titles

Table of contents

ChapterPages
  1. Titelei/Inhaltsverzeichnis No access I - XXII
    1. 1.1. Initial situation and problem statement No access
    2. 1.2. Introduction of Merck & Co. No access
    3. 1.3. Research scope and approach No access
    4. 1.4. Focus, aim and research question No access
      1. 2.1.1. Definition and understanding No access
      2. 2.1.2. Pharmaceutical companies and intellectual setting of medical affairs No access
      3. 2.1.3. Conceptual understanding No access
      1. 2.2.1. Business model No access
      2. 2.2.2. Business model innovation No access
      3. 2.2.3. Framework elaboration for investigation No access
        1. Medical affairs business function and activities No access
        2. Drivers and required capabilities of the changing medical affair’s business No access
        1. Historical development No access
        2. Definition No access
      2. 2.3.2. Conceptual understanding No access
        1. 2.4.1.1. Definition and categorization No access
        2. 2.4.1.2. Potential and challenges of responsible artificial intelligence No access
      2. 2.4.2. Framework with challenges for safety and ethical responsibility considerations in artificial intelligence solutions No access
        1. 2.4.3.1. Technology No access
        2. 2.4.3.2. People/ Human No access
        3. 2.4.3.3. Organization No access
        1. Background on global medical affairs AI journey No access
      2. 2.5.2. Introducing the human-centered artificial intelligence canvas No access
        1. gPrime: AI HCP Medical Knowledge Discovery and Education No access
        2. Advisory Board Expert Input Forum Artificial Intelligence Program No access
        3. Scientific Congress and Abstract AI Analytics No access
        4. Medical Information Artificial Intelligence Compendia No access
        5. Medical Information Inquiries No access
        6. Augmented Documentation Global Review Tool (GRT) No access
    1. 3.1. Research design and preparation No access
    2. 3.2. Triad of methodological principles No access
    3. 3.3. Design of the interview guideline No access
    4. 3.4. Sampling No access
    5. 3.5. Conduct of expert interviews No access
    6. 3.6. Transcription No access
      1. 3.7.1. Structured qualitative content analysis No access
      2. 3.7.2. Structured steps of data analysis No access
    1. Comprehension of AI within the business model innovation context of medical affairs No access
    2. Dissolving the business AI framework of Dobbe et al. (2019) from a stage-based approach to an iterative domain-based approach No access
    3. Development & design domain (value creation) No access
    4. Training domain (value delivery) No access
    5. Deployment domain (value capture) No access
    6. Role of management to balance domains No access
    7. Challenges No access
    8. Manager as value enabler No access
    9. Human-centered AI canvas No access
    10. Jobs to be done No access
    11. AI promise No access
    12. Benefits for humans No access
    13. Human activities (including skills, capabilities and competencies) No access
    14. Machine activities No access
    15. Collaboration No access
    16. Human reinforcement No access
    17. Critical thinking and biases No access
    18. Critical/ complex decisions No access
    19. Considerations and implications No access
    20. Change management No access
    21. Information policy No access
    1. Comprehension of AI within the BMI context of medical affairs No access
    2. Value enablement as new BMI value part and role of the manager No access
    3. The balancing activities of the manager as value enabler in the context of TOP antecedents and human-centered AI solutions No access
    4. Deeper remarks on responsibility and ethical considerations based on three fundamental management principles No access
    1. 6.1. Summary No access
    2. 6.2. Limitations No access
    3. 6.3. Outlook No access
  8. 7. References No access 183 - 208
    1. Section A: Use case overview No access
    2. Section B: Interview guideline No access
    3. Section C: Interview sample overview No access
      1. Composition of the category system No access
      2. Definition of categories and anchor examples No access
      3. Material run-through with applied coding method No access
    5. Section E: Code overview with anchor example references No access

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