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Monographie Kein Zugriff

AI in Pharmaceutical Companies

Enabling Efficient, Responsible and Human-Centered Solutions for Medical Affairs
Autor:innen:
Verlag:
 2022

Zusammenfassung

Die konkrete Umsetzung von KI-Bestrebungen ist insbesondere für etablierte Unternehmen herausfordernd. In dieser Arbeit werden dazu wesentliche Anforderungen aus Theorie und Praxis ganzheitlich analysiert und Lösungen diskutiert. Dabei fließen Erkenntnisse aus durchgeführten Fallstudien und Experteninterviews aus der pharmazeutischen Industrie mit ein.

Diese Arbeit trägt dazu bei, bisherige Forschung darin zu unterstützen, wie effiziente, (ethisch) verantwortungsvolle und humanzentrierte KI-Lösungen in das Geschäftsmodell von wissenschaftlich orientierten Bereichen (wie Medical Affairs) eingebunden werden können. In diesem Kontext werden die Rollen von Management und interdisziplinären Fachkräften aufgezeigt sowie die Entwicklung einer KI-Rahmenstruktur vorgeschlagen.

Schlagworte

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Bibliographische Angaben

Copyrightjahr
2022
ISBN-Print
978-3-8288-4721-7
ISBN-Online
978-3-8288-7816-7
Verlag
Tectum, Baden-Baden
Reihe
Wissenschaftliche Beiträge aus dem Tectum Verlag: Wirtschaftswissenschaften
Band
103
Sprache
Englisch
Seiten
238
Produkttyp
Monographie

Inhaltsverzeichnis

KapitelSeiten
  1. Titelei/Inhaltsverzeichnis Kein Zugriff I - XXII
    1. 1.1. Initial situation and problem statement Kein Zugriff
    2. 1.2. Introduction of Merck & Co. Kein Zugriff
    3. 1.3. Research scope and approach Kein Zugriff
    4. 1.4. Focus, aim and research question Kein Zugriff
      1. 2.1.1. Definition and understanding Kein Zugriff
      2. 2.1.2. Pharmaceutical companies and intellectual setting of medical affairs Kein Zugriff
      3. 2.1.3. Conceptual understanding Kein Zugriff
      1. 2.2.1. Business model Kein Zugriff
      2. 2.2.2. Business model innovation Kein Zugriff
      3. 2.2.3. Framework elaboration for investigation Kein Zugriff
        1. Medical affairs business function and activities Kein Zugriff
        2. Drivers and required capabilities of the changing medical affair’s business Kein Zugriff
        1. Historical development Kein Zugriff
        2. Definition Kein Zugriff
      2. 2.3.2. Conceptual understanding Kein Zugriff
        1. 2.4.1.1. Definition and categorization Kein Zugriff
        2. 2.4.1.2. Potential and challenges of responsible artificial intelligence Kein Zugriff
      2. 2.4.2. Framework with challenges for safety and ethical responsibility considerations in artificial intelligence solutions Kein Zugriff
        1. 2.4.3.1. Technology Kein Zugriff
        2. 2.4.3.2. People/ Human Kein Zugriff
        3. 2.4.3.3. Organization Kein Zugriff
        1. Background on global medical affairs AI journey Kein Zugriff
      2. 2.5.2. Introducing the human-centered artificial intelligence canvas Kein Zugriff
        1. gPrime: AI HCP Medical Knowledge Discovery and Education Kein Zugriff
        2. Advisory Board Expert Input Forum Artificial Intelligence Program Kein Zugriff
        3. Scientific Congress and Abstract AI Analytics Kein Zugriff
        4. Medical Information Artificial Intelligence Compendia Kein Zugriff
        5. Medical Information Inquiries Kein Zugriff
        6. Augmented Documentation Global Review Tool (GRT) Kein Zugriff
    1. 3.1. Research design and preparation Kein Zugriff
    2. 3.2. Triad of methodological principles Kein Zugriff
    3. 3.3. Design of the interview guideline Kein Zugriff
    4. 3.4. Sampling Kein Zugriff
    5. 3.5. Conduct of expert interviews Kein Zugriff
    6. 3.6. Transcription Kein Zugriff
      1. 3.7.1. Structured qualitative content analysis Kein Zugriff
      2. 3.7.2. Structured steps of data analysis Kein Zugriff
    1. Comprehension of AI within the business model innovation context of medical affairs Kein Zugriff
    2. Dissolving the business AI framework of Dobbe et al. (2019) from a stage-based approach to an iterative domain-based approach Kein Zugriff
    3. Development & design domain (value creation) Kein Zugriff
    4. Training domain (value delivery) Kein Zugriff
    5. Deployment domain (value capture) Kein Zugriff
    6. Role of management to balance domains Kein Zugriff
    7. Challenges Kein Zugriff
    8. Manager as value enabler Kein Zugriff
    9. Human-centered AI canvas Kein Zugriff
    10. Jobs to be done Kein Zugriff
    11. AI promise Kein Zugriff
    12. Benefits for humans Kein Zugriff
    13. Human activities (including skills, capabilities and competencies) Kein Zugriff
    14. Machine activities Kein Zugriff
    15. Collaboration Kein Zugriff
    16. Human reinforcement Kein Zugriff
    17. Critical thinking and biases Kein Zugriff
    18. Critical/ complex decisions Kein Zugriff
    19. Considerations and implications Kein Zugriff
    20. Change management Kein Zugriff
    21. Information policy Kein Zugriff
    1. Comprehension of AI within the BMI context of medical affairs Kein Zugriff
    2. Value enablement as new BMI value part and role of the manager Kein Zugriff
    3. The balancing activities of the manager as value enabler in the context of TOP antecedents and human-centered AI solutions Kein Zugriff
    4. Deeper remarks on responsibility and ethical considerations based on three fundamental management principles Kein Zugriff
    1. 6.1. Summary Kein Zugriff
    2. 6.2. Limitations Kein Zugriff
    3. 6.3. Outlook Kein Zugriff
  8. 7. References Kein Zugriff 183 - 208
    1. Section A: Use case overview Kein Zugriff
    2. Section B: Interview guideline Kein Zugriff
    3. Section C: Interview sample overview Kein Zugriff
      1. Composition of the category system Kein Zugriff
      2. Definition of categories and anchor examples Kein Zugriff
      3. Material run-through with applied coding method Kein Zugriff
    5. Section E: Code overview with anchor example references Kein Zugriff

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