Collection 

Impact of Agentic AI on Care Delivery

Submission status
Open
Submission deadline

 

 

This Collection supports and amplifies

research related to SDG3, SDG9 and SDG10.

 

 

Agentic AI systems have demonstrated strong potential in enabling complex, autonomous workflows and strategic decision-making across domains in healthcare. Specifically, the integration of agentic AI within care delivery has the potential to transform a variety of healthcare models; by enabling autonomous, evidence-based decisions for patients, providers and caregivers with minimal to no human oversight. However, as with emerging health care innovation, there are areas that will test multidisciplinary care teams and researchers regarding its adoption and maintainability. From an operational perspective, challenges and opportunities exist for harmonization across technological infrastructure with cultural norms, patient safety, privacy and quality guidelines at the local, regional, national and global level. These observations have led to the goal of this collection: to advance the understanding and application of agentic AI in care delivery for preventive health and wellness, disease management, acute and post-acute care encounters. We are soliciting manuscripts in the following areas:

  • Applications of agentic AI in providing real-time, evidence-based decision support to improve care delivery (i.e., healthcare operations, in-person, virtual and remote patience care experience, care team and caregiver coordination).
  • Innovative agentic AI systems that can integrate multimodal or longitudinal clinical and administrative data sources, including medical imaging, genomics, electronic health records and other healthcare delivery data sources.
  • Sustainable and adaptable AI agentic technology infrastructure models and standards for patients, providers and caregivers.
  • Implementation of agentic AI in settings with limited resources, such as rural or low-income healthcare environments, to improve health outcomes, health equity, patient safety and accessibility.
  • Ethical and regulatory considerations involved in the deployment of agentic AI in healthcare.
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Editors

The Collection will publish original research Articles, Reviews, Perspectives and Comments (full details on content types can be found here. Papers will be published in npj digital medicine as soon as they are accepted and then collected together and promoted on the Collection homepage. All Guest Edited Collections are associated with a call for papers and are managed by one or more of our Editorial Board Members and the journal's Editors.

This Collection welcomes submissions from all authors – and not by invitation only – on the condition that the manuscripts fall within the scope of the Collection and of npj digital medicine more generally. See our editorial process page for more details. 

All submissions are subject to the same peer review process and editorial standards as regular npj digital medicine articles, including the journal’s policy on competing interests. The Guest Editors have no competing interests with the submissions, which they handle through the peer-review process. The peer review of any submissions for which the Guest Editors have competing interests is handled by another Editorial Board Member who has no competing interests.  See our Collections guidelines for more details. 

This Collection is not supported by sponsorship.