AI-enabled healthcare sector : futures business models
Ahmed, Tanvir (2024-06-07)
Ahmed, Tanvir
T. Ahmed
07.06.2024
© 2024 Tanvir Ahmed. Ellei toisin mainita, uudelleenkäyttö on sallittu Creative Commons Attribution 4.0 International (CC-BY 4.0) -lisenssillä (https://creativecommons.org/licenses/by/4.0/). Uudelleenkäyttö on sallittua edellyttäen, että lähde mainitaan asianmukaisesti ja mahdolliset muutokset merkitään. Sellaisten osien käyttö tai jäljentäminen, jotka eivät ole tekijän tai tekijöiden omaisuutta, saattaa edellyttää lupaa suoraan asianomaisilta oikeudenhaltijoilta.
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202406074286
https://urn.fi/URN:NBN:fi:oulu-202406074286
Tiivistelmä
This research delves into the dynamic landscape of business models within the burgeoning field of AI-enabled healthcare. Utilizing a qualitative case study approach enriched by Causal Layered Analysis (CLA), the study investigates potential business models and their adaptability within the ever-evolving healthcare environment. By integrating established business model frameworks with CLA, this research illuminates future scenarios and provides a forward-looking analytical framework for healthcare stakeholders.
The research explores three distinct future scenarios, each representing a unique timeframe within the AI-enabled healthcare landscape: immediate challenges and opportunities, mid-range perspectives, and far-reaching visions. By employing the CLA framework within each scenario, the study analyzes the underlying societal causes driving healthcare transformation, the evolving worldviews that will influence decision-making, and the deeply ingrained myths that may affect industry dynamics.
Through this in-depth analysis, the research identifies critical business model elements essential for success in each timeframe, serving as crucial navigational tools for stakeholders seeking to thrive in the AI-enabled healthcare landscape. Additionally, the research explores potential business opportunities that may emerge within this market, informed by broader social and global trends, highlighting the interconnectedness of healthcare with larger societal shifts.
This research makes two key contributions. Firstly, it pioneers the integration of business models with CLA, providing a forward-looking analytical framework for healthcare stakeholders. Secondly, by identifying future-oriented business model elements, the research equips stakeholders with valuable insights to navigate the evolving market landscape. It identifies potential business opportunities that may emerge within this market. In essence, this exploration transcends the present, illuminating pathways towards a transformative future for business models in AI-enabled healthcare.
The research explores three distinct future scenarios, each representing a unique timeframe within the AI-enabled healthcare landscape: immediate challenges and opportunities, mid-range perspectives, and far-reaching visions. By employing the CLA framework within each scenario, the study analyzes the underlying societal causes driving healthcare transformation, the evolving worldviews that will influence decision-making, and the deeply ingrained myths that may affect industry dynamics.
Through this in-depth analysis, the research identifies critical business model elements essential for success in each timeframe, serving as crucial navigational tools for stakeholders seeking to thrive in the AI-enabled healthcare landscape. Additionally, the research explores potential business opportunities that may emerge within this market, informed by broader social and global trends, highlighting the interconnectedness of healthcare with larger societal shifts.
This research makes two key contributions. Firstly, it pioneers the integration of business models with CLA, providing a forward-looking analytical framework for healthcare stakeholders. Secondly, by identifying future-oriented business model elements, the research equips stakeholders with valuable insights to navigate the evolving market landscape. It identifies potential business opportunities that may emerge within this market. In essence, this exploration transcends the present, illuminating pathways towards a transformative future for business models in AI-enabled healthcare.
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