As Orlikowski and Iacono (2001) emphasize, information systems (IS) researchers not only have the opportunity to influence the future, but they also have the responsibility to do so by documenting what digital technologies change, capturing what disappears, and what is being created.
In the healthcare sector, recent years have been marked by massive growth in innovations and the implementation of digital technologies: the development of mobile health, the deployment of digital patient monitoring devices, the operationalization of integrated electronic medical records systems, the introduction of artificial intelligence applied to clinical diagnostics, the development of immersive therapies via virtual reality, and the use of blockchain technology. However, beyond the proliferation of innovative digital devices, what now stands out seems to be of a different order: their interdependence, which nurtures new forms of complexity, the quantification at work (data-intensive medicine), and the unprecedented modes of instantaneous calculation (algorithmic medicine) that support them, as well as the connectivity challenges (telemedicine).
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