Hinweis: Um die korrekte Darstellung der Seite zu erhalten, müssen Sie beim Drucken die Hintergrundgrafiken erlauben.
back to overview
Add to bookmark

AI in Pharmaceutical Companies: Enabling Efficient, Responsible and Human-Centered Solutions for Medical Affairs

Object category:
Elektronische Ressource
Person/Institution:
Gleixner, Michael F.
Publisher:
Tectum Verlag
Place of publication:
Baden-Baden
Date:
2022
Extent, illustration, format:
1 online resource (261 pages)
Language:
Englisch
Abstract:
Intro -- Abstract -- Zusammenfassung -- Acknowledgement -- List of abbreviations -- Introductory remarks -- 1. Introduction -- 1.1. Initial situation and problem statement -- 1.2. Introduction of Merck &amp -- Co. -- 1.3. Research scope and approach -- 1.4. Focus, aim and research question -- 2. Digital transformation of the medical affairs business model in pharmaceutical companies meeting artificial intelligence -- 2.1. Digital transformation -- 2.1.1. Definition and understanding -- 2.1.2. Pharmaceutical companies and intellectual setting of medical affairs -- 2.1.3. Conceptual understanding -- 2.2. Business models and their innovation -- 2.2.1. Business model -- 2.2.2. Business model innovation -- 2.2.3. Framework elaboration for investigation -- 2.2.4. Changing business model of medical affairs -- Medical affairs business function and activities -- Drivers and required capabilities of the changing medical affair's business -- 2.3. Artificial intelligence -- 2.3.1. Definition and development in the historical context -- Historical development -- Definition -- 2.3.2. Conceptual understanding -- 2.4. Relevance of responsible artificial intelligence innovations within the pharmaceutical medical affairs context -- 2.4.1. Conceptual understanding of responsible artificial intelligence in pharmaceutical companies' medical affairs department -- 2.4.1.1. Definition and categorization -- 2.4.1.2. Potential and challenges of responsible artificial intelligence -- 2.4.2. Framework with challenges for safety and ethical responsibility considerations in artificial intelligence solutions -- 2.4.3. Artificial intelligence antecedents: new requirements and drivers for innovation -- 2.4.3.1. Technology -- 2.4.3.2. People/ Human -- 2.4.3.3. Organization.
Object text:
Description based on publisher supplied metadata and other sources

Access and usage options

Universität Erfurt
Forschungsbibliothek Gotha
Schloss Friedenstein
Schlossplatz 1
99867 Gotha
+49 361 737-5540
bibliothek.gotha(at)uni-erfurt.de
Created:
2023-04-12
Last changed:
2023-01-02
Added to portal:
2023-04-12