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Digital Business Models in the Healthcare Industry

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Handbook of Artificial Intelligence in Healthcare

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 212))

Abstract

Nowadays, digital technologies become more and more indispensable on a personal and business level. New innovations accelerate processes and disrupt the markets even in the healthcare sector. A wide range of studies have demonstrated the effectiveness of digital technologies for numerous application areas like diagnostics or treatment, but there is no research about the general potential that experts from the healthcare sector see in the implementation of digital business models. In addition to technological developments and low research depth in this area, pandemics like Covid-19 demonstrate the importance of the healthcare industry. Through this motivation a research project on the topic “Potential benefits of digital business models in the healthcare industry” was developed to answer this concern. The authors could identify key performance indicators (KPIs), individualization, efficiency and communication channels as central potentials. These determinants were evaluated by means of structural equation modelling, whereby KPIs and communication channels show a significant influence on the potential of digital business models and their processes in healthcare. In order to address the rapid developments in the field of Artificial Intelligence (AI), an outlook on its potential benefits and challenges in healthcare is given finally.

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Acknowledgements

This work is based on several research projects of Aalen University. We would like to thank Viola Krämer and María Leticia Aguilar Vázquez for their great support especially.

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  1. Aalen University of Applied Sciences, Aalen, Germany

    Nathalie Hoppe, Felix Häfner & Ralf Härting

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  1. Nathalie Hoppe
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  2. Felix Häfner
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  3. Ralf Härting
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Correspondence to Ralf Härting .

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Editors and Affiliations

  1. Institute for Intelligent Systems Research and Innovation, Deakin University, Waurn Ponds, VIC, Australia

    Chee-Peng Lim

  2. College of Information Science and Engineering, Ritsumeikan University, Shiga, Japan

    Yen-Wei Chen

  3. Royal Adelaide Hospital, Adelaide, SA, Australia

    Ashlesha Vaidya

  4. Avanti Institute of Cardiology, Nagpur, India

    Charu Mahorkar

  5. KES International, Shoreham-by-Sea, UK

    Lakhmi C. Jain

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Hoppe, N., Häfner, F., Härting, R. (2022). Digital Business Models in the Healthcare Industry. In: Lim, CP., Chen, YW., Vaidya, A., Mahorkar, C., Jain, L.C. (eds) Handbook of Artificial Intelligence in Healthcare. Intelligent Systems Reference Library, vol 212. Springer, Cham. https://doi.org/10.1007/978-3-030-83620-7_14

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