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![Alan Stoddart headshot](https://www.signifyresearch.net/wp-content/uploads/2023/12/Alan-New-for-Website-150x150.jpg)
![Vlad Kozynchenko headshot](https://www.signifyresearch.net/wp-content/uploads/2023/12/Vlad-copy-150x150.png)
![Jon Hill headshot](https://www.signifyresearch.net/wp-content/uploads/2024/01/Jon-copy-150x150.png)
Generative AI is set to have a profound impact across the spectrum of digital health. The technology promises to aid providers in standing up to some of the sternest challenges they presently face, such as operating more efficiently and achieving better results for patients with slimmer budgets, adapting to value-based care models, dealing with overwhelming documentation and minimising the administrative burden placed on clinicians.
Amongst these broader trends, there are some specific use cases and applications that are already gaining traction. This has been borne out in the latest deliverable in Signify Research’s Generative AI Market Intelligence Service.
The Signify View
“Generative AI is being utilised across digital health, and our report reflects this,” notes market analyst and report co-author Jon Hill. “We have started by covering the structured and unstructured data, the utilisation of HIE (Health Information Exchange) data aggregation platforms to aggregate the data.