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Optimizing Hospital Discharge Planning: Empirical Insights and Requirements of AI-Based Technologies From an Explorative Mixed Methods Field Study — Europe PMC PMID:41875195

Source: Europe PMC (en)
Original: https://europepmc.org/article/MED/41875195
DOI: 10.2196/81824
License (as archived): solo-consultazione
Archived: 2026-11-04T01:30:48.077Z
SHA-256 of the archived text: cb88d45df392f38cb77f34f7539b8c92397afeba6d95703fca0a77f247f6065e
Stable URL of this page: https://metraipolis.com/documento/dc_2bf50004d3fb

How to cite

Optimizing Hospital Discharge Planning: Empirical Insights and Requirements of AI-Based Technologies From an Explorative Mixed Methods Field Study — Europe PMC PMID:41875195 — Europe PMC (en), https://europepmc.org/article/MED/41875195 (solo-consultazione); archived copy: https://metraipolis.com/documento/dc_2bf50004d3fb (Metraipolis archive dc_2bf50004d3fb, sha256 cb88d45df392f38cb77f34f7539b8c92397afeba6d95703fca0a77f247f6065e)

BibTeX

@misc{dc2bf50004d3fb,
  title = {Optimizing Hospital Discharge Planning: Empirical Insights and Requirements of AI-Based Technologies From an Explorative Mixed Methods Field Study — Europe PMC PMID:41875195},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/41875195},
  note = {License solo-consultazione; archived copy https://metraipolis.com/documento/dc_2bf50004d3fb; sha256 cb88d45df392f38cb77f34f7539b8c92397afeba6d95703fca0a77f247f6065e},
  year = {2026}
}

Archived text

The text is not reproduced here: the archive holds it as solo-consultazione (consultation only, no republication). Read it at the original source: https://europepmc.org/article/MED/41875195. Agents can read the archived copy with the MCP tool read_document.